SlideShare ist ein Scribd-Unternehmen logo
1 von 46
Stream Reasoning Where We Got So Far http://streamreasoning.org   Emanuele Della Valle  DEI - Politecnico di Milano  [email_address] http://emanueledellavalle.org   Joint work with: Davide Francesco Barbieri, Daniele Braga, Stefano Ceri,  and Michael Grossniklaus
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
Motivation It‘s a streaming World!  [IEEE-IS2009] ,[object Object],[object Object],[object Object],[object Object],[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
Motivation Questions People are Asking ,[object Object],[object Object],[object Object],[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
Motivation Problem Statement  ,[object Object],[object Object],[object Object],[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
Background  What are data streams anyway? ,[object Object],[object Object],[object Object],[object Object],[object Object],time NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
Background  Can the Semantic Web process data stream? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
Background  Continuous Semantics ,[object Object],[object Object],[object Object],[object Object],[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
Background  Stream Processing ,[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010 window input stream stream of answer Registered Continuous Query
Background  Key Optimization in Stream Processing  ,[object Object],[object Object],[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
Background  Data Stream Management Systems (DSMS) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
Concept Stream Reasoning  [IEEE-IS2010, Dagstuhl2010] ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
Concept  Research Challenges ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
Concept  Engineering challenges ,[object Object],[object Object],[object Object],[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
Concept  Evaluation and Success Criteria ,[object Object],[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010 Efficiency Criterion Querying Answering Complex Inference Nr. of streams 10s of streams 10s of streams Speed per stream (assertions/second a/t) 1000s a/t 10s a/t Nr. of registered queries  100s of queries 100s of queries Response Latency 10s of milliseconds 1000s of milliseconds
Running Example Real-Time Streams on the Web ,[object Object],[object Object],[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010 Emanuele Della Valle - visit  http://streamreasoning.org   LDOW2010 @ WWW 2010, Raleigh, North Carolina, April 27th, 2010
Running Example Example of Questions Users are Asking ,[object Object],[object Object],[object Object],[object Object],[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
Running Example  Real Social Media Stream Data: Glue NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
Running Example  Glue Data Model as an Ontology NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010 URL rdfs : label skos : subject owl : sameAs Object Resource links describes URL foaf : name User sioc : follows foaf : knows accesses likes dislikes data stream background knowledge URL rdfs : label
Achievements  Stream Reasoner Inputs and Outputs NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
Achievements  Explored Continuous Semantics for SeWeb ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
Achievements  Architecture of our Simple Stream Reasoner ,[object Object],[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010 Select Abstract Reason Streamed Input Window Content RDF Streams Answers Streams Window RDF Graphs
Achievements  RDF Stream  [WWW2009,EDBT2010] ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
Achievements   Windows on RDF Streams  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
Achievements   Example Window of RDF Stream  [SDOW2009] ,[object Object],[object Object],[object Object],[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
Achievements   C-SPARQL  [WWW2009,EDBT2010] ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
Achievements   An Simple Example of C-SPARQL Query ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
Achievements   An Simple Example of C-SPARQL Query ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010 Triples from a graph Combined with triples from a stream Query registration (for  continuous  execution) FROM STREAM  clause WINDOW
Achievements   An Advance Example of C-SPARQL Query ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
Achievements   C-SPARQL at Work  [SDOW2009] NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010 http://c-sparql.cefriel.it/sdow-demo/C-SPARQLquery.html
Achievements   Efficiency of Evaluation 1/3  [SDOW2009] ,[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
Achievements   Efficiency of Evaluation 2/3  [EDBT2010] ,[object Object],[object Object],[object Object],[object Object],[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
Achievements   Efficiency of Evaluation 3/3  [EDBT2010] ,[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
Achievements   Example of C-SPARQL and Reasoning 1/2 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
Achievements   Example of C-SPARQL and Reasoning 2/2 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
Achievements   Incremental Reasoning: State-of-the-Art ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
Achievements State-of-the-Art Approach  [Ceri1994,Volz2005] ,[object Object],[object Object],[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
Achievements our approach  [ESWC2010] 1/2 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
Achievements our approach  [ESWC2010] 2/2 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
Achievements Comparative Evaluation  [ESWC2010]  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
Retrospective and Conclusions Wrap Up ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
Retrospective and Conclusions  Achievements vs. Research Challenges ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
Retrospective and Conclusions   Achievements vs.  Engineering challenges ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
Retrospective and Conclusions  A Key Problem to Investigate  [Dagstuhl2010]  ,[object Object],[object Object],[object Object],[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010 Raw Stream Processing RDF Streams Logic Programs DL Complexity Reasoning Querying Rewriting Abstraction Selection Interpretation Change Frequency PTIME 2NEXPTIME 10 4  Hz 1 Hz  Dynamics and Scale vs. Complexity Evolving Knowlege
References (selection) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
Thank You! Questions? Much More to Come! Keep an eye on  http://www.streamreasoning.org   NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010

Weitere ähnliche Inhalte

Was ist angesagt?

Tutorial - Recommender systems meet linked open data - ICWE 2016 - Lugano - 0...
Tutorial - Recommender systems meet linked open data - ICWE 2016 - Lugano - 0...Tutorial - Recommender systems meet linked open data - ICWE 2016 - Lugano - 0...
Tutorial - Recommender systems meet linked open data - ICWE 2016 - Lugano - 0...Polytechnic University of Bari
 
Question Answering over Linked Data: Challenges, Approaches & Trends (Tutoria...
Question Answering over Linked Data: Challenges, Approaches & Trends (Tutoria...Question Answering over Linked Data: Challenges, Approaches & Trends (Tutoria...
Question Answering over Linked Data: Challenges, Approaches & Trends (Tutoria...Andre Freitas
 
ESWC2015 opening ceremony
ESWC2015 opening ceremonyESWC2015 opening ceremony
ESWC2015 opening ceremonyFabien Gandon
 
Experience from 10 months of University Linked Data
Experience from 10 months of University Linked Data Experience from 10 months of University Linked Data
Experience from 10 months of University Linked Data Mathieu d'Aquin
 
Working with data.open.ac.uk, the Linked Data Platform of the Open University
Working with data.open.ac.uk, the Linked Data Platform of the Open UniversityWorking with data.open.ac.uk, the Linked Data Platform of the Open University
Working with data.open.ac.uk, the Linked Data Platform of the Open UniversityMathieu d'Aquin
 
Linked Data at the Open University: From Technical Challenges to Organization...
Linked Data at the Open University: From Technical Challenges to Organization...Linked Data at the Open University: From Technical Challenges to Organization...
Linked Data at the Open University: From Technical Challenges to Organization...Mathieu d'Aquin
 
Semantic Interpretation of User Query for Question Answering on Interlinked Data
Semantic Interpretation of User Query for Question Answering on Interlinked DataSemantic Interpretation of User Query for Question Answering on Interlinked Data
Semantic Interpretation of User Query for Question Answering on Interlinked DataSaeedeh Shekarpour
 
Visual Data Analytics in the Cloud for Exploratory Science
Visual Data Analytics in the Cloud for Exploratory ScienceVisual Data Analytics in the Cloud for Exploratory Science
Visual Data Analytics in the Cloud for Exploratory ScienceUniversity of Washington
 
Virtual Appliances, Cloud Computing, and Reproducible Research
Virtual Appliances, Cloud Computing, and Reproducible ResearchVirtual Appliances, Cloud Computing, and Reproducible Research
Virtual Appliances, Cloud Computing, and Reproducible ResearchUniversity of Washington
 
XLDB South America Keynote: eScience Institute and Myria
XLDB South America Keynote: eScience Institute and MyriaXLDB South America Keynote: eScience Institute and Myria
XLDB South America Keynote: eScience Institute and MyriaUniversity of Washington
 
A novel programmable attenuator based low Gm-OTA for biomedical applications
A novel programmable attenuator based low Gm-OTA for biomedical applicationsA novel programmable attenuator based low Gm-OTA for biomedical applications
A novel programmable attenuator based low Gm-OTA for biomedical applicationsHoopeer Hoopeer
 
Question answering in linked data
Question answering in linked dataQuestion answering in linked data
Question answering in linked dataReza Ramezani
 
ESWC 2015 Closing and "General Chair's minute of Madness"
ESWC 2015 Closing and "General Chair's minute of Madness"ESWC 2015 Closing and "General Chair's minute of Madness"
ESWC 2015 Closing and "General Chair's minute of Madness"Fabien Gandon
 
Beyond Linked Data - Exploiting Entity-Centric Knowledge on the Web
Beyond Linked Data - Exploiting Entity-Centric Knowledge on the WebBeyond Linked Data - Exploiting Entity-Centric Knowledge on the Web
Beyond Linked Data - Exploiting Entity-Centric Knowledge on the WebStefan Dietze
 
Learning Multilingual Semantics from Big Data on the Web
Learning Multilingual Semantics from Big Data on the WebLearning Multilingual Semantics from Big Data on the Web
Learning Multilingual Semantics from Big Data on the WebGerard de Melo
 
Interlinking Standardized OpenStreetMap Data and Citizen Science Data in the ...
Interlinking Standardized OpenStreetMap Data and Citizen Science Data in the ...Interlinking Standardized OpenStreetMap Data and Citizen Science Data in the ...
Interlinking Standardized OpenStreetMap Data and Citizen Science Data in the ...Werner Leyh
 
Analysing & Improving Learning Resources Markup on the Web
Analysing & Improving Learning Resources Markup on the WebAnalysing & Improving Learning Resources Markup on the Web
Analysing & Improving Learning Resources Markup on the WebStefan Dietze
 

Was ist angesagt? (19)

Tutorial - Recommender systems meet linked open data - ICWE 2016 - Lugano - 0...
Tutorial - Recommender systems meet linked open data - ICWE 2016 - Lugano - 0...Tutorial - Recommender systems meet linked open data - ICWE 2016 - Lugano - 0...
Tutorial - Recommender systems meet linked open data - ICWE 2016 - Lugano - 0...
 
Question Answering over Linked Data: Challenges, Approaches & Trends (Tutoria...
Question Answering over Linked Data: Challenges, Approaches & Trends (Tutoria...Question Answering over Linked Data: Challenges, Approaches & Trends (Tutoria...
Question Answering over Linked Data: Challenges, Approaches & Trends (Tutoria...
 
Recommender Systems and Linked Open Data
Recommender Systems and Linked Open DataRecommender Systems and Linked Open Data
Recommender Systems and Linked Open Data
 
ESWC2015 opening ceremony
ESWC2015 opening ceremonyESWC2015 opening ceremony
ESWC2015 opening ceremony
 
Experience from 10 months of University Linked Data
Experience from 10 months of University Linked Data Experience from 10 months of University Linked Data
Experience from 10 months of University Linked Data
 
Working with data.open.ac.uk, the Linked Data Platform of the Open University
Working with data.open.ac.uk, the Linked Data Platform of the Open UniversityWorking with data.open.ac.uk, the Linked Data Platform of the Open University
Working with data.open.ac.uk, the Linked Data Platform of the Open University
 
Linked Data at the Open University: From Technical Challenges to Organization...
Linked Data at the Open University: From Technical Challenges to Organization...Linked Data at the Open University: From Technical Challenges to Organization...
Linked Data at the Open University: From Technical Challenges to Organization...
 
Semantic Interpretation of User Query for Question Answering on Interlinked Data
Semantic Interpretation of User Query for Question Answering on Interlinked DataSemantic Interpretation of User Query for Question Answering on Interlinked Data
Semantic Interpretation of User Query for Question Answering on Interlinked Data
 
Visual Data Analytics in the Cloud for Exploratory Science
Visual Data Analytics in the Cloud for Exploratory ScienceVisual Data Analytics in the Cloud for Exploratory Science
Visual Data Analytics in the Cloud for Exploratory Science
 
End-to-End eScience
End-to-End eScienceEnd-to-End eScience
End-to-End eScience
 
Virtual Appliances, Cloud Computing, and Reproducible Research
Virtual Appliances, Cloud Computing, and Reproducible ResearchVirtual Appliances, Cloud Computing, and Reproducible Research
Virtual Appliances, Cloud Computing, and Reproducible Research
 
XLDB South America Keynote: eScience Institute and Myria
XLDB South America Keynote: eScience Institute and MyriaXLDB South America Keynote: eScience Institute and Myria
XLDB South America Keynote: eScience Institute and Myria
 
A novel programmable attenuator based low Gm-OTA for biomedical applications
A novel programmable attenuator based low Gm-OTA for biomedical applicationsA novel programmable attenuator based low Gm-OTA for biomedical applications
A novel programmable attenuator based low Gm-OTA for biomedical applications
 
Question answering in linked data
Question answering in linked dataQuestion answering in linked data
Question answering in linked data
 
ESWC 2015 Closing and "General Chair's minute of Madness"
ESWC 2015 Closing and "General Chair's minute of Madness"ESWC 2015 Closing and "General Chair's minute of Madness"
ESWC 2015 Closing and "General Chair's minute of Madness"
 
Beyond Linked Data - Exploiting Entity-Centric Knowledge on the Web
Beyond Linked Data - Exploiting Entity-Centric Knowledge on the WebBeyond Linked Data - Exploiting Entity-Centric Knowledge on the Web
Beyond Linked Data - Exploiting Entity-Centric Knowledge on the Web
 
Learning Multilingual Semantics from Big Data on the Web
Learning Multilingual Semantics from Big Data on the WebLearning Multilingual Semantics from Big Data on the Web
Learning Multilingual Semantics from Big Data on the Web
 
Interlinking Standardized OpenStreetMap Data and Citizen Science Data in the ...
Interlinking Standardized OpenStreetMap Data and Citizen Science Data in the ...Interlinking Standardized OpenStreetMap Data and Citizen Science Data in the ...
Interlinking Standardized OpenStreetMap Data and Citizen Science Data in the ...
 
Analysing & Improving Learning Resources Markup on the Web
Analysing & Improving Learning Resources Markup on the WebAnalysing & Improving Learning Resources Markup on the Web
Analysing & Improving Learning Resources Markup on the Web
 

Andere mochten auch

Challenges, Approaches, and Solutions in Stream Reasoning
Challenges, Approaches, and Solutions in Stream ReasoningChallenges, Approaches, and Solutions in Stream Reasoning
Challenges, Approaches, and Solutions in Stream Reasoning Emanuele Della Valle
 
A Multimedia Service with MPEG-7 Metadata and Context Semantics
A Multimedia Service with MPEG-7 Metadata and Context SemanticsA Multimedia Service with MPEG-7 Metadata and Context Semantics
A Multimedia Service with MPEG-7 Metadata and Context SemanticsRalf Klamma
 
OpenCms Days 2012 - Keynote: Semantic Technologies for CMS
OpenCms Days 2012 - Keynote: Semantic Technologies for CMSOpenCms Days 2012 - Keynote: Semantic Technologies for CMS
OpenCms Days 2012 - Keynote: Semantic Technologies for CMSAlkacon Software GmbH & Co. KG
 
Remixing Media on the Semantic Web (ISWC 2014 Tutorial) Pt 1 Media Fragment S...
Remixing Media on the Semantic Web (ISWC 2014 Tutorial) Pt 1 Media Fragment S...Remixing Media on the Semantic Web (ISWC 2014 Tutorial) Pt 1 Media Fragment S...
Remixing Media on the Semantic Web (ISWC 2014 Tutorial) Pt 1 Media Fragment S...LinkedTV
 
What's up LOD Cloud - Observing the state of Linked Open Data Cloud Metadata
What's up LOD Cloud - Observing the state of Linked Open Data Cloud MetadataWhat's up LOD Cloud - Observing the state of Linked Open Data Cloud Metadata
What's up LOD Cloud - Observing the state of Linked Open Data Cloud MetadataAhmad Assaf
 
Multimedia big data 140619
Multimedia big data 140619Multimedia big data 140619
Multimedia big data 140619Ramesh Jain
 
Describing Media Assets: Media Fragment Specification and Description
Describing Media Assets: Media Fragment Specification and DescriptionDescribing Media Assets: Media Fragment Specification and Description
Describing Media Assets: Media Fragment Specification and DescriptionRaphael Troncy
 
Provenance for Multimedia
Provenance for MultimediaProvenance for Multimedia
Provenance for MultimediaRaphael Troncy
 
A Semantic Multimedia Web: Create, Annotate, Present and Share your Media
A Semantic Multimedia Web: Create, Annotate, Present and Share your MediaA Semantic Multimedia Web: Create, Annotate, Present and Share your Media
A Semantic Multimedia Web: Create, Annotate, Present and Share your MediaRaphael Troncy
 
A replication study of the top performing systems in SemEval twitter sentimen...
A replication study of the top performing systems in SemEval twitter sentimen...A replication study of the top performing systems in SemEval twitter sentimen...
A replication study of the top performing systems in SemEval twitter sentimen...Raphael Troncy
 
DC-2016 Keynote 2016-10-13
DC-2016 Keynote 2016-10-13DC-2016 Keynote 2016-10-13
DC-2016 Keynote 2016-10-13Bradley Allen
 
Stream reasoning: mastering the velocity and the variety dimensions of Big Da...
Stream reasoning: mastering the velocity and the variety dimensions of Big Da...Stream reasoning: mastering the velocity and the variety dimensions of Big Da...
Stream reasoning: mastering the velocity and the variety dimensions of Big Da...Emanuele Della Valle
 
Ist16-03 An Introduction to the Semantic Web
Ist16-03 An Introduction to the Semantic Web Ist16-03 An Introduction to the Semantic Web
Ist16-03 An Introduction to the Semantic Web Emanuele Della Valle
 
Listening to the pulse of our cities with Stream Reasoning (and few more tech...
Listening to the pulse of our cities with Stream Reasoning (and few more tech...Listening to the pulse of our cities with Stream Reasoning (and few more tech...
Listening to the pulse of our cities with Stream Reasoning (and few more tech...Emanuele Della Valle
 

Andere mochten auch (16)

Challenges, Approaches, and Solutions in Stream Reasoning
Challenges, Approaches, and Solutions in Stream ReasoningChallenges, Approaches, and Solutions in Stream Reasoning
Challenges, Approaches, and Solutions in Stream Reasoning
 
A Multimedia Service with MPEG-7 Metadata and Context Semantics
A Multimedia Service with MPEG-7 Metadata and Context SemanticsA Multimedia Service with MPEG-7 Metadata and Context Semantics
A Multimedia Service with MPEG-7 Metadata and Context Semantics
 
OpenCms Days 2012 - Keynote: Semantic Technologies for CMS
OpenCms Days 2012 - Keynote: Semantic Technologies for CMSOpenCms Days 2012 - Keynote: Semantic Technologies for CMS
OpenCms Days 2012 - Keynote: Semantic Technologies for CMS
 
Remixing Media on the Semantic Web (ISWC 2014 Tutorial) Pt 1 Media Fragment S...
Remixing Media on the Semantic Web (ISWC 2014 Tutorial) Pt 1 Media Fragment S...Remixing Media on the Semantic Web (ISWC 2014 Tutorial) Pt 1 Media Fragment S...
Remixing Media on the Semantic Web (ISWC 2014 Tutorial) Pt 1 Media Fragment S...
 
What's up LOD Cloud - Observing the state of Linked Open Data Cloud Metadata
What's up LOD Cloud - Observing the state of Linked Open Data Cloud MetadataWhat's up LOD Cloud - Observing the state of Linked Open Data Cloud Metadata
What's up LOD Cloud - Observing the state of Linked Open Data Cloud Metadata
 
Multimedia big data 140619
Multimedia big data 140619Multimedia big data 140619
Multimedia big data 140619
 
On Unified Stream Reasoning
On Unified Stream ReasoningOn Unified Stream Reasoning
On Unified Stream Reasoning
 
Describing Media Assets: Media Fragment Specification and Description
Describing Media Assets: Media Fragment Specification and DescriptionDescribing Media Assets: Media Fragment Specification and Description
Describing Media Assets: Media Fragment Specification and Description
 
Provenance for Multimedia
Provenance for MultimediaProvenance for Multimedia
Provenance for Multimedia
 
A Semantic Multimedia Web: Create, Annotate, Present and Share your Media
A Semantic Multimedia Web: Create, Annotate, Present and Share your MediaA Semantic Multimedia Web: Create, Annotate, Present and Share your Media
A Semantic Multimedia Web: Create, Annotate, Present and Share your Media
 
Ist16-04 An introduction to RDF
Ist16-04 An introduction to RDF Ist16-04 An introduction to RDF
Ist16-04 An introduction to RDF
 
A replication study of the top performing systems in SemEval twitter sentimen...
A replication study of the top performing systems in SemEval twitter sentimen...A replication study of the top performing systems in SemEval twitter sentimen...
A replication study of the top performing systems in SemEval twitter sentimen...
 
DC-2016 Keynote 2016-10-13
DC-2016 Keynote 2016-10-13DC-2016 Keynote 2016-10-13
DC-2016 Keynote 2016-10-13
 
Stream reasoning: mastering the velocity and the variety dimensions of Big Da...
Stream reasoning: mastering the velocity and the variety dimensions of Big Da...Stream reasoning: mastering the velocity and the variety dimensions of Big Da...
Stream reasoning: mastering the velocity and the variety dimensions of Big Da...
 
Ist16-03 An Introduction to the Semantic Web
Ist16-03 An Introduction to the Semantic Web Ist16-03 An Introduction to the Semantic Web
Ist16-03 An Introduction to the Semantic Web
 
Listening to the pulse of our cities with Stream Reasoning (and few more tech...
Listening to the pulse of our cities with Stream Reasoning (and few more tech...Listening to the pulse of our cities with Stream Reasoning (and few more tech...
Listening to the pulse of our cities with Stream Reasoning (and few more tech...
 

Ähnlich wie Stream Reasoning : Where We Got So Far

Incremental Reasoning on Streams and Rich Background Knowledge
Incremental Reasoning on Streams andRich Background Knowledge Incremental Reasoning on Streams andRich Background Knowledge
Incremental Reasoning on Streams and Rich Background Knowledge Emanuele Della Valle
 
(Re-) Discovering Lost Web Pages
(Re-) Discovering Lost Web Pages(Re-) Discovering Lost Web Pages
(Re-) Discovering Lost Web PagesMichael Nelson
 
A Biological Internet?: Eywa
A Biological Internet?: EywaA Biological Internet?: Eywa
A Biological Internet?: EywaEugene Siow
 
Ingredients for Semantic Sensor Networks
Ingredients for Semantic Sensor NetworksIngredients for Semantic Sensor Networks
Ingredients for Semantic Sensor NetworksOscar Corcho
 
Semantic Sensor Networks and Linked Stream Data
Semantic Sensor Networks and Linked Stream DataSemantic Sensor Networks and Linked Stream Data
Semantic Sensor Networks and Linked Stream DataOscar Corcho
 
Information Extraction and Linked Data Cloud
Information Extraction and Linked Data CloudInformation Extraction and Linked Data Cloud
Information Extraction and Linked Data CloudDhaval Thakker
 
Accelerating data-intensive science by outsourcing the mundane
Accelerating data-intensive science by outsourcing the mundaneAccelerating data-intensive science by outsourcing the mundane
Accelerating data-intensive science by outsourcing the mundaneIan Foster
 
The Nature of Information
The Nature of InformationThe Nature of Information
The Nature of InformationAdrian Paschke
 
Synchronicity: Just-In-Time Discovery of Lost Web Pages
Synchronicity: Just-In-Time Discovery of Lost Web PagesSynchronicity: Just-In-Time Discovery of Lost Web Pages
Synchronicity: Just-In-Time Discovery of Lost Web PagesMichael Nelson
 
(Re-)Discovering Lost Web Pages
(Re-)Discovering Lost Web Pages(Re-)Discovering Lost Web Pages
(Re-)Discovering Lost Web PagesMichael Nelson
 
050317 Ws Telecon Husar
050317 Ws Telecon Husar050317 Ws Telecon Husar
050317 Ws Telecon HusarRudolf Husar
 
Querying the Web of Data
Querying the Web of DataQuerying the Web of Data
Querying the Web of DataRinke Hoekstra
 
Introduction to Semantic Web for GIS Practitioners
Introduction to Semantic Web for GIS PractitionersIntroduction to Semantic Web for GIS Practitioners
Introduction to Semantic Web for GIS PractitionersEmanuele Della Valle
 
Approximation and Self-Organisation on the Web of Data
Approximation and Self-Organisation on the Web of DataApproximation and Self-Organisation on the Web of Data
Approximation and Self-Organisation on the Web of DataKathrin Dentler
 
TERN Facility Portals - Stuart Phinn
TERN Facility Portals - Stuart PhinnTERN Facility Portals - Stuart Phinn
TERN Facility Portals - Stuart PhinnTERN Australia
 
Towards a rebirth of data science (by Data Fellas)
Towards a rebirth of data science (by Data Fellas)Towards a rebirth of data science (by Data Fellas)
Towards a rebirth of data science (by Data Fellas)Andy Petrella
 
How to Find a Needle in the Haystack
How to Find a Needle in the HaystackHow to Find a Needle in the Haystack
How to Find a Needle in the HaystackAdrian Stevenson
 
Stream Reasoning - where we got so far 2011.1.18 Oxford Key Note
Stream Reasoning - where we got so far 2011.1.18 Oxford Key NoteStream Reasoning - where we got so far 2011.1.18 Oxford Key Note
Stream Reasoning - where we got so far 2011.1.18 Oxford Key NoteEmanuele Della Valle
 
Adopting technology session
Adopting technology sessionAdopting technology session
Adopting technology sessionMike Frohlich
 

Ähnlich wie Stream Reasoning : Where We Got So Far (20)

Incremental Reasoning on Streams and Rich Background Knowledge
Incremental Reasoning on Streams andRich Background Knowledge Incremental Reasoning on Streams andRich Background Knowledge
Incremental Reasoning on Streams and Rich Background Knowledge
 
(Re-) Discovering Lost Web Pages
(Re-) Discovering Lost Web Pages(Re-) Discovering Lost Web Pages
(Re-) Discovering Lost Web Pages
 
A Biological Internet?: Eywa
A Biological Internet?: EywaA Biological Internet?: Eywa
A Biological Internet?: Eywa
 
Ingredients for Semantic Sensor Networks
Ingredients for Semantic Sensor NetworksIngredients for Semantic Sensor Networks
Ingredients for Semantic Sensor Networks
 
Semantic Sensor Networks and Linked Stream Data
Semantic Sensor Networks and Linked Stream DataSemantic Sensor Networks and Linked Stream Data
Semantic Sensor Networks and Linked Stream Data
 
Information Extraction and Linked Data Cloud
Information Extraction and Linked Data CloudInformation Extraction and Linked Data Cloud
Information Extraction and Linked Data Cloud
 
Accelerating data-intensive science by outsourcing the mundane
Accelerating data-intensive science by outsourcing the mundaneAccelerating data-intensive science by outsourcing the mundane
Accelerating data-intensive science by outsourcing the mundane
 
SSG4Env EGU2010
SSG4Env EGU2010SSG4Env EGU2010
SSG4Env EGU2010
 
The Nature of Information
The Nature of InformationThe Nature of Information
The Nature of Information
 
Synchronicity: Just-In-Time Discovery of Lost Web Pages
Synchronicity: Just-In-Time Discovery of Lost Web PagesSynchronicity: Just-In-Time Discovery of Lost Web Pages
Synchronicity: Just-In-Time Discovery of Lost Web Pages
 
(Re-)Discovering Lost Web Pages
(Re-)Discovering Lost Web Pages(Re-)Discovering Lost Web Pages
(Re-)Discovering Lost Web Pages
 
050317 Ws Telecon Husar
050317 Ws Telecon Husar050317 Ws Telecon Husar
050317 Ws Telecon Husar
 
Querying the Web of Data
Querying the Web of DataQuerying the Web of Data
Querying the Web of Data
 
Introduction to Semantic Web for GIS Practitioners
Introduction to Semantic Web for GIS PractitionersIntroduction to Semantic Web for GIS Practitioners
Introduction to Semantic Web for GIS Practitioners
 
Approximation and Self-Organisation on the Web of Data
Approximation and Self-Organisation on the Web of DataApproximation and Self-Organisation on the Web of Data
Approximation and Self-Organisation on the Web of Data
 
TERN Facility Portals - Stuart Phinn
TERN Facility Portals - Stuart PhinnTERN Facility Portals - Stuart Phinn
TERN Facility Portals - Stuart Phinn
 
Towards a rebirth of data science (by Data Fellas)
Towards a rebirth of data science (by Data Fellas)Towards a rebirth of data science (by Data Fellas)
Towards a rebirth of data science (by Data Fellas)
 
How to Find a Needle in the Haystack
How to Find a Needle in the HaystackHow to Find a Needle in the Haystack
How to Find a Needle in the Haystack
 
Stream Reasoning - where we got so far 2011.1.18 Oxford Key Note
Stream Reasoning - where we got so far 2011.1.18 Oxford Key NoteStream Reasoning - where we got so far 2011.1.18 Oxford Key Note
Stream Reasoning - where we got so far 2011.1.18 Oxford Key Note
 
Adopting technology session
Adopting technology sessionAdopting technology session
Adopting technology session
 

Mehr von Emanuele Della Valle

Taming velocity - a tale of four streams
Taming velocity - a tale of four streamsTaming velocity - a tale of four streams
Taming velocity - a tale of four streamsEmanuele Della Valle
 
Work in progress on Inductive Stream Reasoning
Work in progress on Inductive Stream ReasoningWork in progress on Inductive Stream Reasoning
Work in progress on Inductive Stream ReasoningEmanuele Della Valle
 
Knowledge graphs in search engines
Knowledge graphs in search enginesKnowledge graphs in search engines
Knowledge graphs in search enginesEmanuele Della Valle
 
La città dei balocchi 2017 in numeri - Fluxedo
La città dei balocchi 2017 in numeri - FluxedoLa città dei balocchi 2017 in numeri - Fluxedo
La città dei balocchi 2017 in numeri - FluxedoEmanuele Della Valle
 
Stream Reasoning: a summary of ten years of research and a vision for the nex...
Stream Reasoning: a summary of ten years of research and a vision for the nex...Stream Reasoning: a summary of ten years of research and a vision for the nex...
Stream Reasoning: a summary of ten years of research and a vision for the nex...Emanuele Della Valle
 
ACQUA: Approximate Continuous Query Answering over Streams and Dynamic Linked...
ACQUA: Approximate Continuous Query Answering over Streams and Dynamic Linked...ACQUA: Approximate Continuous Query Answering over Streams and Dynamic Linked...
ACQUA: Approximate Continuous Query Answering over Streams and Dynamic Linked...Emanuele Della Valle
 
Stream reasoning: an approach to tame the velocity and variety dimensions of ...
Stream reasoning: an approach to tame the velocity and variety dimensions of ...Stream reasoning: an approach to tame the velocity and variety dimensions of ...
Stream reasoning: an approach to tame the velocity and variety dimensions of ...Emanuele Della Valle
 
Big Data: how to use it to create value
Big Data: how to use it to create valueBig Data: how to use it to create value
Big Data: how to use it to create valueEmanuele Della Valle
 
Ist16-02 HL7 from v2 (syntax) to v3 (semantics)
Ist16-02 HL7 from v2 (syntax) to v3 (semantics)Ist16-02 HL7 from v2 (syntax) to v3 (semantics)
Ist16-02 HL7 from v2 (syntax) to v3 (semantics)Emanuele Della Valle
 
IST16-01 - Introduction to Interoperability and Semantic Technologies
IST16-01 - Introduction to Interoperability and Semantic TechnologiesIST16-01 - Introduction to Interoperability and Semantic Technologies
IST16-01 - Introduction to Interoperability and Semantic TechnologiesEmanuele Della Valle
 
Listening to the pulse of our cities fusing Social Media Streams and Call Dat...
Listening to the pulse of our cities fusing Social Media Streams and Call Dat...Listening to the pulse of our cities fusing Social Media Streams and Call Dat...
Listening to the pulse of our cities fusing Social Media Streams and Call Dat...Emanuele Della Valle
 
Social listener-brera-design-district-2015-03
Social listener-brera-design-district-2015-03Social listener-brera-design-district-2015-03
Social listener-brera-design-district-2015-03Emanuele Della Valle
 
City Data Fusion for Event Management (in Italiano)
City Data Fusion for Event Management (in Italiano)City Data Fusion for Event Management (in Italiano)
City Data Fusion for Event Management (in Italiano)Emanuele Della Valle
 
Semantic technologies and Interoperability
Semantic technologies and InteroperabilitySemantic technologies and Interoperability
Semantic technologies and InteroperabilityEmanuele Della Valle
 
Big data: why, what, paradigm shifts enabled , tools and market landscape
Big data: why, what, paradigm shifts enabled , tools and market landscapeBig data: why, what, paradigm shifts enabled , tools and market landscape
Big data: why, what, paradigm shifts enabled , tools and market landscapeEmanuele Della Valle
 
City Data Fusion and City Sensing presented at EIT ICT Labs for EXPO 2015
City Data Fusion and City Sensing presented at EIT ICT Labs for EXPO 2015City Data Fusion and City Sensing presented at EIT ICT Labs for EXPO 2015
City Data Fusion and City Sensing presented at EIT ICT Labs for EXPO 2015Emanuele Della Valle
 
On the effectiveness of a Mobile Puzzle Game UI to Crowdsource Linked Data Ma...
On the effectiveness of a Mobile Puzzle Game UI to Crowdsource Linked Data Ma...On the effectiveness of a Mobile Puzzle Game UI to Crowdsource Linked Data Ma...
On the effectiveness of a Mobile Puzzle Game UI to Crowdsource Linked Data Ma...Emanuele Della Valle
 

Mehr von Emanuele Della Valle (20)

Taming velocity - a tale of four streams
Taming velocity - a tale of four streamsTaming velocity - a tale of four streams
Taming velocity - a tale of four streams
 
Stream reasoning
Stream reasoningStream reasoning
Stream reasoning
 
Work in progress on Inductive Stream Reasoning
Work in progress on Inductive Stream ReasoningWork in progress on Inductive Stream Reasoning
Work in progress on Inductive Stream Reasoning
 
Big Data and Data Science W's
Big Data and Data Science W'sBig Data and Data Science W's
Big Data and Data Science W's
 
Knowledge graphs in search engines
Knowledge graphs in search enginesKnowledge graphs in search engines
Knowledge graphs in search engines
 
La città dei balocchi 2017 in numeri - Fluxedo
La città dei balocchi 2017 in numeri - FluxedoLa città dei balocchi 2017 in numeri - Fluxedo
La città dei balocchi 2017 in numeri - Fluxedo
 
Stream Reasoning: a summary of ten years of research and a vision for the nex...
Stream Reasoning: a summary of ten years of research and a vision for the nex...Stream Reasoning: a summary of ten years of research and a vision for the nex...
Stream Reasoning: a summary of ten years of research and a vision for the nex...
 
ACQUA: Approximate Continuous Query Answering over Streams and Dynamic Linked...
ACQUA: Approximate Continuous Query Answering over Streams and Dynamic Linked...ACQUA: Approximate Continuous Query Answering over Streams and Dynamic Linked...
ACQUA: Approximate Continuous Query Answering over Streams and Dynamic Linked...
 
Stream reasoning: an approach to tame the velocity and variety dimensions of ...
Stream reasoning: an approach to tame the velocity and variety dimensions of ...Stream reasoning: an approach to tame the velocity and variety dimensions of ...
Stream reasoning: an approach to tame the velocity and variety dimensions of ...
 
Big Data: how to use it to create value
Big Data: how to use it to create valueBig Data: how to use it to create value
Big Data: how to use it to create value
 
Ist16-02 HL7 from v2 (syntax) to v3 (semantics)
Ist16-02 HL7 from v2 (syntax) to v3 (semantics)Ist16-02 HL7 from v2 (syntax) to v3 (semantics)
Ist16-02 HL7 from v2 (syntax) to v3 (semantics)
 
IST16-01 - Introduction to Interoperability and Semantic Technologies
IST16-01 - Introduction to Interoperability and Semantic TechnologiesIST16-01 - Introduction to Interoperability and Semantic Technologies
IST16-01 - Introduction to Interoperability and Semantic Technologies
 
On Stream Reasoning
On Stream ReasoningOn Stream Reasoning
On Stream Reasoning
 
Listening to the pulse of our cities fusing Social Media Streams and Call Dat...
Listening to the pulse of our cities fusing Social Media Streams and Call Dat...Listening to the pulse of our cities fusing Social Media Streams and Call Dat...
Listening to the pulse of our cities fusing Social Media Streams and Call Dat...
 
Social listener-brera-design-district-2015-03
Social listener-brera-design-district-2015-03Social listener-brera-design-district-2015-03
Social listener-brera-design-district-2015-03
 
City Data Fusion for Event Management (in Italiano)
City Data Fusion for Event Management (in Italiano)City Data Fusion for Event Management (in Italiano)
City Data Fusion for Event Management (in Italiano)
 
Semantic technologies and Interoperability
Semantic technologies and InteroperabilitySemantic technologies and Interoperability
Semantic technologies and Interoperability
 
Big data: why, what, paradigm shifts enabled , tools and market landscape
Big data: why, what, paradigm shifts enabled , tools and market landscapeBig data: why, what, paradigm shifts enabled , tools and market landscape
Big data: why, what, paradigm shifts enabled , tools and market landscape
 
City Data Fusion and City Sensing presented at EIT ICT Labs for EXPO 2015
City Data Fusion and City Sensing presented at EIT ICT Labs for EXPO 2015City Data Fusion and City Sensing presented at EIT ICT Labs for EXPO 2015
City Data Fusion and City Sensing presented at EIT ICT Labs for EXPO 2015
 
On the effectiveness of a Mobile Puzzle Game UI to Crowdsource Linked Data Ma...
On the effectiveness of a Mobile Puzzle Game UI to Crowdsource Linked Data Ma...On the effectiveness of a Mobile Puzzle Game UI to Crowdsource Linked Data Ma...
On the effectiveness of a Mobile Puzzle Game UI to Crowdsource Linked Data Ma...
 

Kürzlich hochgeladen

18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdfssuser54595a
 
Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfchloefrazer622
 
Hybridoma Technology ( Production , Purification , and Application )
Hybridoma Technology  ( Production , Purification , and Application  ) Hybridoma Technology  ( Production , Purification , and Application  )
Hybridoma Technology ( Production , Purification , and Application ) Sakshi Ghasle
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)eniolaolutunde
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdfSoniaTolstoy
 
Privatization and Disinvestment - Meaning, Objectives, Advantages and Disadva...
Privatization and Disinvestment - Meaning, Objectives, Advantages and Disadva...Privatization and Disinvestment - Meaning, Objectives, Advantages and Disadva...
Privatization and Disinvestment - Meaning, Objectives, Advantages and Disadva...RKavithamani
 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesFatimaKhan178732
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfsanyamsingh5019
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...Marc Dusseiller Dusjagr
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Educationpboyjonauth
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13Steve Thomason
 
Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphThiyagu K
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdfQucHHunhnh
 
mini mental status format.docx
mini    mental       status     format.docxmini    mental       status     format.docx
mini mental status format.docxPoojaSen20
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactdawncurless
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...EduSkills OECD
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxNirmalaLoungPoorunde1
 

Kürzlich hochgeladen (20)

18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
 
Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdf
 
Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1
 
Hybridoma Technology ( Production , Purification , and Application )
Hybridoma Technology  ( Production , Purification , and Application  ) Hybridoma Technology  ( Production , Purification , and Application  )
Hybridoma Technology ( Production , Purification , and Application )
 
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
 
Privatization and Disinvestment - Meaning, Objectives, Advantages and Disadva...
Privatization and Disinvestment - Meaning, Objectives, Advantages and Disadva...Privatization and Disinvestment - Meaning, Objectives, Advantages and Disadva...
Privatization and Disinvestment - Meaning, Objectives, Advantages and Disadva...
 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and Actinides
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdf
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Education
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13
 
Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot Graph
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
 
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdfTataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
 
mini mental status format.docx
mini    mental       status     format.docxmini    mental       status     format.docx
mini mental status format.docx
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impact
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptx
 

Stream Reasoning : Where We Got So Far

  • 1. Stream Reasoning Where We Got So Far http://streamreasoning.org Emanuele Della Valle DEI - Politecnico di Milano [email_address] http://emanueledellavalle.org Joint work with: Davide Francesco Barbieri, Daniele Braga, Stefano Ceri, and Michael Grossniklaus
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18. Running Example Real Social Media Stream Data: Glue NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
  • 19. Running Example Glue Data Model as an Ontology NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010 URL rdfs : label skos : subject owl : sameAs Object Resource links describes URL foaf : name User sioc : follows foaf : knows accesses likes dislikes data stream background knowledge URL rdfs : label
  • 20. Achievements Stream Reasoner Inputs and Outputs NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28.
  • 29.
  • 30. Achievements C-SPARQL at Work [SDOW2009] NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010 http://c-sparql.cefriel.it/sdow-demo/C-SPARQLquery.html
  • 31.
  • 32.
  • 33.
  • 34.
  • 35.
  • 36.
  • 37.
  • 38.
  • 39.
  • 40.
  • 41.
  • 42.
  • 43.
  • 44.
  • 45.
  • 46. Thank You! Questions? Much More to Come! Keep an eye on http://www.streamreasoning.org NeFoRS'10 @ ESWC 2010, Heraklion, Greece, May 31st, 2010

Hinweis der Redaktion

  1. Service-Finder