SlideShare ist ein Scribd-Unternehmen logo
1 von 24
The University of Amsterdam at the
 CLEF 2008 Domain Specific Track
Parsimonious Relevance and Concept Models


       Edgar Meij and Maarten de Rijke

                        ISLA
              University of Amsterdam


                  CLEF 2008
Introduction            Concept Models             Experiments   Conclusion



                                         Outline



       Introduction


       Concept Models


       Experiments


       Conclusion
Parsimonious Relevance and Concept Models - CLEF 2008 Domain Specific Talk - Edgar Meij (Univ. of Amsterdam)
Parsimonious Relevance and Concept Models - CLEF 2008 Domain Specific Talk - Edgar Meij (Univ. of Amsterdam)
Parsimonious Relevance and Concept Models - CLEF 2008 Domain Specific Talk - Edgar Meij (Univ. of Amsterdam)
Parsimonious Relevance and Concept Models - CLEF 2008 Domain Specific Talk - Edgar Meij (Univ. of Amsterdam)
Parsimonious Relevance and Concept Models - CLEF 2008 Domain Specific Talk - Edgar Meij (Univ. of Amsterdam)
Parsimonious Relevance and Concept Models - CLEF 2008 Domain Specific Talk - Edgar Meij (Univ. of Amsterdam)
Parsimonious Relevance and Concept Models - CLEF 2008 Domain Specific Talk - Edgar Meij (Univ. of Amsterdam)
Parsimonious Relevance and Concept Models - CLEF 2008 Domain Specific Talk - Edgar Meij (Univ. of Amsterdam)
Parsimonious Relevance and Concept Models - CLEF 2008 Domain Specific Talk - Edgar Meij (Univ. of Amsterdam)
Parsimonious Relevance and Concept Models - CLEF 2008 Domain Specific Talk - Edgar Meij (Univ. of Amsterdam)
Parsimonious Relevance and Concept Models - CLEF 2008 Domain Specific Talk - Edgar Meij (Univ. of Amsterdam)
Parsimonious Relevance and Concept Models - CLEF 2008 Domain Specific Talk - Edgar Meij (Univ. of Amsterdam)
Parsimonious Relevance and Concept Models - CLEF 2008 Domain Specific Talk - Edgar Meij (Univ. of Amsterdam)
Parsimonious Relevance and Concept Models - CLEF 2008 Domain Specific Talk - Edgar Meij (Univ. of Amsterdam)
Parsimonious Relevance and Concept Models - CLEF 2008 Domain Specific Talk - Edgar Meij (Univ. of Amsterdam)
Parsimonious Relevance and Concept Models - CLEF 2008 Domain Specific Talk - Edgar Meij (Univ. of Amsterdam)
Parsimonious Relevance and Concept Models - CLEF 2008 Domain Specific Talk - Edgar Meij (Univ. of Amsterdam)
Parsimonious Relevance and Concept Models - CLEF 2008 Domain Specific Talk - Edgar Meij (Univ. of Amsterdam)
Parsimonious Relevance and Concept Models - CLEF 2008 Domain Specific Talk - Edgar Meij (Univ. of Amsterdam)
Parsimonious Relevance and Concept Models - CLEF 2008 Domain Specific Talk - Edgar Meij (Univ. of Amsterdam)
Parsimonious Relevance and Concept Models - CLEF 2008 Domain Specific Talk - Edgar Meij (Univ. of Amsterdam)
Parsimonious Relevance and Concept Models - CLEF 2008 Domain Specific Talk - Edgar Meij (Univ. of Amsterdam)

Weitere ähnliche Inhalte

Ähnlich wie Parsimonious Relevance and Concept Models - CLEF 2008 Domain Specific Talk - Edgar Meij (Univ. of Amsterdam)

Semantic Techniques for Enabling Knowledge Reuse in Conceptual Modelling
Semantic Techniques for Enabling Knowledge Reuse in Conceptual ModellingSemantic Techniques for Enabling Knowledge Reuse in Conceptual Modelling
Semantic Techniques for Enabling Knowledge Reuse in Conceptual ModellingOscar Corcho
 
RESEARCH in software engineering
RESEARCH in software engineeringRESEARCH in software engineering
RESEARCH in software engineeringIvano Malavolta
 
UNDERSTANDING OOAD AND DESIGN PATTERNS USING UML AND JAVA-TRAINING WORKSHOP
UNDERSTANDING OOAD AND DESIGN PATTERNS USING UML AND JAVA-TRAINING WORKSHOPUNDERSTANDING OOAD AND DESIGN PATTERNS USING UML AND JAVA-TRAINING WORKSHOP
UNDERSTANDING OOAD AND DESIGN PATTERNS USING UML AND JAVA-TRAINING WORKSHOPAmit Midha
 
UNDERSTANDING OOAD AND DESIGN PATTERNS USING UML AND JAVA-TRAINING WORKSHOP
UNDERSTANDING OOAD AND DESIGN PATTERNS USING UML AND JAVA-TRAINING WORKSHOPUNDERSTANDING OOAD AND DESIGN PATTERNS USING UML AND JAVA-TRAINING WORKSHOP
UNDERSTANDING OOAD AND DESIGN PATTERNS USING UML AND JAVA-TRAINING WORKSHOPAmit Midha
 
2011 04 12 (uned) cstracke ude knou innovacion estandarizacion tendencias eur...
2011 04 12 (uned) cstracke ude knou innovacion estandarizacion tendencias eur...2011 04 12 (uned) cstracke ude knou innovacion estandarizacion tendencias eur...
2011 04 12 (uned) cstracke ude knou innovacion estandarizacion tendencias eur...eMadrid network
 
Modeling should be an independent scientific discipline
Modeling should be an independent scientific disciplineModeling should be an independent scientific discipline
Modeling should be an independent scientific disciplineJordi Cabot
 
Experimenting with eXtreme Design (EKAW2010)
Experimenting with eXtreme Design (EKAW2010)Experimenting with eXtreme Design (EKAW2010)
Experimenting with eXtreme Design (EKAW2010)evabl444
 
[2016/2017] RESEARCH in software engineering
[2016/2017] RESEARCH in software engineering[2016/2017] RESEARCH in software engineering
[2016/2017] RESEARCH in software engineeringIvano Malavolta
 
[2015/2016] RESEARCH in software engineering
[2015/2016] RESEARCH in software engineering[2015/2016] RESEARCH in software engineering
[2015/2016] RESEARCH in software engineeringIvano Malavolta
 
[2017/2018] RESEARCH in software engineering
[2017/2018] RESEARCH in software engineering[2017/2018] RESEARCH in software engineering
[2017/2018] RESEARCH in software engineeringIvano Malavolta
 
DynaLearn: Problem-based learning supported by semantic techniques
DynaLearn: Problem-based learning supported by semantic techniquesDynaLearn: Problem-based learning supported by semantic techniques
DynaLearn: Problem-based learning supported by semantic techniquesOscar Corcho
 
2012 01 20 (upm) emadrid ocorcho upm dynalearn tecnologias semanticas en cont...
2012 01 20 (upm) emadrid ocorcho upm dynalearn tecnologias semanticas en cont...2012 01 20 (upm) emadrid ocorcho upm dynalearn tecnologias semanticas en cont...
2012 01 20 (upm) emadrid ocorcho upm dynalearn tecnologias semanticas en cont...eMadrid network
 
Software Test Patterns: Successes and Challenges
Software Test Patterns: Successes and ChallengesSoftware Test Patterns: Successes and Challenges
Software Test Patterns: Successes and ChallengesBob Binder
 
Linking CSCL script design patterns: connections between assessment
Linking CSCL script design patterns: connections between assessmentLinking CSCL script design patterns: connections between assessment
Linking CSCL script design patterns: connections between assessmentevilfer
 
A cluster-based analysis to diagnose students’ learning achievements
A cluster-based analysis to diagnose students’ learning achievementsA cluster-based analysis to diagnose students’ learning achievements
A cluster-based analysis to diagnose students’ learning achievementsMiguel R. Artacho
 
Hybrid models
Hybrid modelsHybrid models
Hybrid modelshreijers
 
Ontology Maturing for Searching, Managing, and Retrieving Resources
Ontology Maturing for Searching, Managing, and Retrieving ResourcesOntology Maturing for Searching, Managing, and Retrieving Resources
Ontology Maturing for Searching, Managing, and Retrieving ResourcesSimone Braun
 
IEEE Projects 2012 - 2013
IEEE Projects 2012 - 2013IEEE Projects 2012 - 2013
IEEE Projects 2012 - 2013SBGC
 

Ähnlich wie Parsimonious Relevance and Concept Models - CLEF 2008 Domain Specific Talk - Edgar Meij (Univ. of Amsterdam) (20)

Semantic Techniques for Enabling Knowledge Reuse in Conceptual Modelling
Semantic Techniques for Enabling Knowledge Reuse in Conceptual ModellingSemantic Techniques for Enabling Knowledge Reuse in Conceptual Modelling
Semantic Techniques for Enabling Knowledge Reuse in Conceptual Modelling
 
Oopsla07 tooldemo.ppt
Oopsla07 tooldemo.pptOopsla07 tooldemo.ppt
Oopsla07 tooldemo.ppt
 
RESEARCH in software engineering
RESEARCH in software engineeringRESEARCH in software engineering
RESEARCH in software engineering
 
UNDERSTANDING OOAD AND DESIGN PATTERNS USING UML AND JAVA-TRAINING WORKSHOP
UNDERSTANDING OOAD AND DESIGN PATTERNS USING UML AND JAVA-TRAINING WORKSHOPUNDERSTANDING OOAD AND DESIGN PATTERNS USING UML AND JAVA-TRAINING WORKSHOP
UNDERSTANDING OOAD AND DESIGN PATTERNS USING UML AND JAVA-TRAINING WORKSHOP
 
UNDERSTANDING OOAD AND DESIGN PATTERNS USING UML AND JAVA-TRAINING WORKSHOP
UNDERSTANDING OOAD AND DESIGN PATTERNS USING UML AND JAVA-TRAINING WORKSHOPUNDERSTANDING OOAD AND DESIGN PATTERNS USING UML AND JAVA-TRAINING WORKSHOP
UNDERSTANDING OOAD AND DESIGN PATTERNS USING UML AND JAVA-TRAINING WORKSHOP
 
2011 04 12 (uned) cstracke ude knou innovacion estandarizacion tendencias eur...
2011 04 12 (uned) cstracke ude knou innovacion estandarizacion tendencias eur...2011 04 12 (uned) cstracke ude knou innovacion estandarizacion tendencias eur...
2011 04 12 (uned) cstracke ude knou innovacion estandarizacion tendencias eur...
 
Modeling should be an independent scientific discipline
Modeling should be an independent scientific disciplineModeling should be an independent scientific discipline
Modeling should be an independent scientific discipline
 
Experimenting with eXtreme Design (EKAW2010)
Experimenting with eXtreme Design (EKAW2010)Experimenting with eXtreme Design (EKAW2010)
Experimenting with eXtreme Design (EKAW2010)
 
[2016/2017] RESEARCH in software engineering
[2016/2017] RESEARCH in software engineering[2016/2017] RESEARCH in software engineering
[2016/2017] RESEARCH in software engineering
 
[2015/2016] RESEARCH in software engineering
[2015/2016] RESEARCH in software engineering[2015/2016] RESEARCH in software engineering
[2015/2016] RESEARCH in software engineering
 
[2017/2018] RESEARCH in software engineering
[2017/2018] RESEARCH in software engineering[2017/2018] RESEARCH in software engineering
[2017/2018] RESEARCH in software engineering
 
DynaLearn: Problem-based learning supported by semantic techniques
DynaLearn: Problem-based learning supported by semantic techniquesDynaLearn: Problem-based learning supported by semantic techniques
DynaLearn: Problem-based learning supported by semantic techniques
 
2012 01 20 (upm) emadrid ocorcho upm dynalearn tecnologias semanticas en cont...
2012 01 20 (upm) emadrid ocorcho upm dynalearn tecnologias semanticas en cont...2012 01 20 (upm) emadrid ocorcho upm dynalearn tecnologias semanticas en cont...
2012 01 20 (upm) emadrid ocorcho upm dynalearn tecnologias semanticas en cont...
 
New
NewNew
New
 
Software Test Patterns: Successes and Challenges
Software Test Patterns: Successes and ChallengesSoftware Test Patterns: Successes and Challenges
Software Test Patterns: Successes and Challenges
 
Linking CSCL script design patterns: connections between assessment
Linking CSCL script design patterns: connections between assessmentLinking CSCL script design patterns: connections between assessment
Linking CSCL script design patterns: connections between assessment
 
A cluster-based analysis to diagnose students’ learning achievements
A cluster-based analysis to diagnose students’ learning achievementsA cluster-based analysis to diagnose students’ learning achievements
A cluster-based analysis to diagnose students’ learning achievements
 
Hybrid models
Hybrid modelsHybrid models
Hybrid models
 
Ontology Maturing for Searching, Managing, and Retrieving Resources
Ontology Maturing for Searching, Managing, and Retrieving ResourcesOntology Maturing for Searching, Managing, and Retrieving Resources
Ontology Maturing for Searching, Managing, and Retrieving Resources
 
IEEE Projects 2012 - 2013
IEEE Projects 2012 - 2013IEEE Projects 2012 - 2013
IEEE Projects 2012 - 2013
 

Kürzlich hochgeladen

Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningLars Bell
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionDilum Bandara
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfPrecisely
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfRankYa
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxLoriGlavin3
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 

Kürzlich hochgeladen (20)

Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An Introduction
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdf
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 

Parsimonious Relevance and Concept Models - CLEF 2008 Domain Specific Talk - Edgar Meij (Univ. of Amsterdam)

  • 1. The University of Amsterdam at the CLEF 2008 Domain Specific Track Parsimonious Relevance and Concept Models Edgar Meij and Maarten de Rijke ISLA University of Amsterdam CLEF 2008
  • 2. Introduction Concept Models Experiments Conclusion Outline Introduction Concept Models Experiments Conclusion