SlideShare ist ein Scribd-Unternehmen logo
1 von 1
Downloaden Sie, um offline zu lesen
Reusing XML Schemas' Information as a Foundation for Designing
                              Domain Ontologies
                                                           Thomas Bosch (M.Sc.)
                                           thomas.bosch@gesis.org | http://boschthomas.blogspot.com

Problem                                                                    Main Research Question
• Traditionally, ontology engineers work in close collaboration with       How to sped up the time-consuming process designing domain ontologies
  domain experts to design domain ontologies manually, which requires      based on already available XSDs?
  lots of time and effort
• Domain ontologies as well as XSDs describe domain data models
• In many cases, XSDs are already defined and can be re-used

Proposed Approach                                                          Derive Domain Ontologies using SWRL rules




Novelty of Approach                                                        Evaluation
•   Based on XSD metamodel                                                 •   User study to compare traditional manual and proposed approach
•   Extract vocabulary, terminology, syntactic structure vs. semantics     •   Define and classify typical tasks
•   Transformation on terminological and assertional knowledge level       •   Define measurement methods
•   Automatic vs. manual or semi-automatic transformation of XSD/XML       •   Derive domain ontologies of multiple and differing domains
•   Derivation of domain ontologies vs. creation of generated ontologies
•   OWL (more expressive power) vs. RDFS generated ontologies

                                                             XSDs to Generated Ontologies

Weitere ähnliche Inhalte

Ähnlich wie 2012.11 - ISWC 2012 - DC - 2

Knowledge engineering and the Web
Knowledge engineering and the WebKnowledge engineering and the Web
Knowledge engineering and the WebGuus Schreiber
 
Taxonomy, ontology, folksonomies & SKOS.
Taxonomy, ontology, folksonomies & SKOS.Taxonomy, ontology, folksonomies & SKOS.
Taxonomy, ontology, folksonomies & SKOS.Janet Leu
 
Lecture4202011 110420175305-phpapp01
Lecture4202011 110420175305-phpapp01Lecture4202011 110420175305-phpapp01
Lecture4202011 110420175305-phpapp01Tarek Koudsi
 
SKOS, RDFa, Microformats, Microdata
SKOS, RDFa, Microformats, MicrodataSKOS, RDFa, Microformats, Microdata
SKOS, RDFa, Microformats, MicrodataBernhard Haslhofer
 
A review of the state of the art in Machine Learning on the Semantic Web
A review of the state of the art in Machine Learning on the Semantic WebA review of the state of the art in Machine Learning on the Semantic Web
A review of the state of the art in Machine Learning on the Semantic WebSimon Price
 
CAA 2014 - To Boldly or Bravely Go? Experiences of using Semantic Technologie...
CAA 2014 - To Boldly or Bravely Go? Experiences of using Semantic Technologie...CAA 2014 - To Boldly or Bravely Go? Experiences of using Semantic Technologie...
CAA 2014 - To Boldly or Bravely Go? Experiences of using Semantic Technologie...Keith.May
 
The state of KOS in the Linked Data movement
The state of KOS in the Linked Data movementThe state of KOS in the Linked Data movement
The state of KOS in the Linked Data movementMarcia Zeng
 
Fri schreiber key_knowledge engineering
Fri schreiber key_knowledge engineeringFri schreiber key_knowledge engineering
Fri schreiber key_knowledge engineeringeswcsummerschool
 
Teaching Machines to Listen: An Introduction to Automatic Speech Recognition
Teaching Machines to Listen: An Introduction to Automatic Speech RecognitionTeaching Machines to Listen: An Introduction to Automatic Speech Recognition
Teaching Machines to Listen: An Introduction to Automatic Speech RecognitionZachary S. Brown
 
Cork AI Meetup Number 3
Cork AI Meetup Number 3Cork AI Meetup Number 3
Cork AI Meetup Number 3Nick Grattan
 
Semantic Metadata Interoperability in Digital Libraries
Semantic Metadata Interoperability in Digital LibrariesSemantic Metadata Interoperability in Digital Libraries
Semantic Metadata Interoperability in Digital LibrariesGetaneh Alemu
 
From Ontology to Wiki: Automating Generation of Semantic Wiki Interfaces from...
From Ontology to Wiki: Automating Generation of Semantic Wiki Interfaces from...From Ontology to Wiki: Automating Generation of Semantic Wiki Interfaces from...
From Ontology to Wiki: Automating Generation of Semantic Wiki Interfaces from...Open University in the Netherlands
 
Introduction to the Semantic Web
Introduction to the Semantic WebIntroduction to the Semantic Web
Introduction to the Semantic WebMarin Dimitrov
 
{Ontology: Resource} x {Matching : Mapping} x {Schema : Instance} :: Compone...
{Ontology: Resource} x {Matching : Mapping} x {Schema : Instance} :: Compone...{Ontology: Resource} x {Matching : Mapping} x {Schema : Instance} :: Compone...
{Ontology: Resource} x {Matching : Mapping} x {Schema : Instance} :: Compone...Amit Sheth
 
Robust Module based data management system
Robust Module based data management systemRobust Module based data management system
Robust Module based data management systemRahul Roi
 
ONTOLOGY BASED DATA ACCESS
ONTOLOGY BASED DATA ACCESSONTOLOGY BASED DATA ACCESS
ONTOLOGY BASED DATA ACCESSKishan Patel
 
Bringing It All Together: Mapping Continuing Resources Vocabularies for Linke...
Bringing It All Together: Mapping Continuing Resources Vocabularies for Linke...Bringing It All Together: Mapping Continuing Resources Vocabularies for Linke...
Bringing It All Together: Mapping Continuing Resources Vocabularies for Linke...NASIG
 
ADBMS Object and Object Relational Databases
ADBMS  Object  and Object Relational Databases ADBMS  Object  and Object Relational Databases
ADBMS Object and Object Relational Databases Jayanthi Kannan MK
 

Ähnlich wie 2012.11 - ISWC 2012 - DC - 2 (20)

Knowledge engineering and the Web
Knowledge engineering and the WebKnowledge engineering and the Web
Knowledge engineering and the Web
 
Taxonomy, ontology, folksonomies & SKOS.
Taxonomy, ontology, folksonomies & SKOS.Taxonomy, ontology, folksonomies & SKOS.
Taxonomy, ontology, folksonomies & SKOS.
 
Agile xml
Agile xmlAgile xml
Agile xml
 
Lecture4202011 110420175305-phpapp01
Lecture4202011 110420175305-phpapp01Lecture4202011 110420175305-phpapp01
Lecture4202011 110420175305-phpapp01
 
SKOS, RDFa, Microformats, Microdata
SKOS, RDFa, Microformats, MicrodataSKOS, RDFa, Microformats, Microdata
SKOS, RDFa, Microformats, Microdata
 
A review of the state of the art in Machine Learning on the Semantic Web
A review of the state of the art in Machine Learning on the Semantic WebA review of the state of the art in Machine Learning on the Semantic Web
A review of the state of the art in Machine Learning on the Semantic Web
 
CAA 2014 - To Boldly or Bravely Go? Experiences of using Semantic Technologie...
CAA 2014 - To Boldly or Bravely Go? Experiences of using Semantic Technologie...CAA 2014 - To Boldly or Bravely Go? Experiences of using Semantic Technologie...
CAA 2014 - To Boldly or Bravely Go? Experiences of using Semantic Technologie...
 
The state of KOS in the Linked Data movement
The state of KOS in the Linked Data movementThe state of KOS in the Linked Data movement
The state of KOS in the Linked Data movement
 
Fri schreiber key_knowledge engineering
Fri schreiber key_knowledge engineeringFri schreiber key_knowledge engineering
Fri schreiber key_knowledge engineering
 
Poster
PosterPoster
Poster
 
Teaching Machines to Listen: An Introduction to Automatic Speech Recognition
Teaching Machines to Listen: An Introduction to Automatic Speech RecognitionTeaching Machines to Listen: An Introduction to Automatic Speech Recognition
Teaching Machines to Listen: An Introduction to Automatic Speech Recognition
 
Cork AI Meetup Number 3
Cork AI Meetup Number 3Cork AI Meetup Number 3
Cork AI Meetup Number 3
 
Semantic Metadata Interoperability in Digital Libraries
Semantic Metadata Interoperability in Digital LibrariesSemantic Metadata Interoperability in Digital Libraries
Semantic Metadata Interoperability in Digital Libraries
 
From Ontology to Wiki: Automating Generation of Semantic Wiki Interfaces from...
From Ontology to Wiki: Automating Generation of Semantic Wiki Interfaces from...From Ontology to Wiki: Automating Generation of Semantic Wiki Interfaces from...
From Ontology to Wiki: Automating Generation of Semantic Wiki Interfaces from...
 
Introduction to the Semantic Web
Introduction to the Semantic WebIntroduction to the Semantic Web
Introduction to the Semantic Web
 
{Ontology: Resource} x {Matching : Mapping} x {Schema : Instance} :: Compone...
{Ontology: Resource} x {Matching : Mapping} x {Schema : Instance} :: Compone...{Ontology: Resource} x {Matching : Mapping} x {Schema : Instance} :: Compone...
{Ontology: Resource} x {Matching : Mapping} x {Schema : Instance} :: Compone...
 
Robust Module based data management system
Robust Module based data management systemRobust Module based data management system
Robust Module based data management system
 
ONTOLOGY BASED DATA ACCESS
ONTOLOGY BASED DATA ACCESSONTOLOGY BASED DATA ACCESS
ONTOLOGY BASED DATA ACCESS
 
Bringing It All Together: Mapping Continuing Resources Vocabularies for Linke...
Bringing It All Together: Mapping Continuing Resources Vocabularies for Linke...Bringing It All Together: Mapping Continuing Resources Vocabularies for Linke...
Bringing It All Together: Mapping Continuing Resources Vocabularies for Linke...
 
ADBMS Object and Object Relational Databases
ADBMS  Object  and Object Relational Databases ADBMS  Object  and Object Relational Databases
ADBMS Object and Object Relational Databases
 

Mehr von Dr.-Ing. Thomas Hartmann

Doctoral Examination at the Karlsruhe Institute of Technology (08.07.2016)
Doctoral Examination at the Karlsruhe Institute of Technology (08.07.2016)Doctoral Examination at the Karlsruhe Institute of Technology (08.07.2016)
Doctoral Examination at the Karlsruhe Institute of Technology (08.07.2016)Dr.-Ing. Thomas Hartmann
 
2016.02 - Validating RDF Data Quality using Constraints to Direct the Develop...
2016.02 - Validating RDF Data Quality using Constraints to Direct the Develop...2016.02 - Validating RDF Data Quality using Constraints to Direct the Develop...
2016.02 - Validating RDF Data Quality using Constraints to Direct the Develop...Dr.-Ing. Thomas Hartmann
 
2015.09. - The Role of Reasoning for RDF Validation (SEMANTiCS 2015)
2015.09. - The Role of Reasoning for RDF Validation (SEMANTiCS 2015)2015.09. - The Role of Reasoning for RDF Validation (SEMANTiCS 2015)
2015.09. - The Role of Reasoning for RDF Validation (SEMANTiCS 2015)Dr.-Ing. Thomas Hartmann
 
2015.09 - Guidance, Please! Towards a Framework for RDF-Based Constraint Lang...
2015.09 - Guidance, Please! Towards a Framework for RDF-Based Constraint Lang...2015.09 - Guidance, Please! Towards a Framework for RDF-Based Constraint Lang...
2015.09 - Guidance, Please! Towards a Framework for RDF-Based Constraint Lang...Dr.-Ing. Thomas Hartmann
 
2015.03 - The RDF Validator - A Tool to Validate RDF Data (KIM)
2015.03 - The RDF Validator - A Tool to Validate RDF Data (KIM)2015.03 - The RDF Validator - A Tool to Validate RDF Data (KIM)
2015.03 - The RDF Validator - A Tool to Validate RDF Data (KIM)Dr.-Ing. Thomas Hartmann
 
2014.10 - How to Formulate and Validate Constraints (DC 2014)
2014.10 - How to Formulate and Validate Constraints (DC 2014)2014.10 - How to Formulate and Validate Constraints (DC 2014)
2014.10 - How to Formulate and Validate Constraints (DC 2014)Dr.-Ing. Thomas Hartmann
 
2014.10 - Towards Description Set Profiles for RDF Using SPARQL as Intermedia...
2014.10 - Towards Description Set Profiles for RDF Using SPARQL as Intermedia...2014.10 - Towards Description Set Profiles for RDF Using SPARQL as Intermedia...
2014.10 - Towards Description Set Profiles for RDF Using SPARQL as Intermedia...Dr.-Ing. Thomas Hartmann
 
2014.10 - Requirements on RDF Constraint Formulation and Validation (DC 2014)
2014.10 - Requirements on RDF Constraint Formulation and Validation (DC 2014)2014.10 - Requirements on RDF Constraint Formulation and Validation (DC 2014)
2014.10 - Requirements on RDF Constraint Formulation and Validation (DC 2014)Dr.-Ing. Thomas Hartmann
 
The Next Generation of the Microdata Information System MISSY - An Integrated...
The Next Generation of the Microdata Information System MISSY - An Integrated...The Next Generation of the Microdata Information System MISSY - An Integrated...
The Next Generation of the Microdata Information System MISSY - An Integrated...Dr.-Ing. Thomas Hartmann
 
The New Microdata Information System (MISSY) - Integration of DDI-based Data ...
The New Microdata Information System (MISSY) - Integration of DDI-based Data ...The New Microdata Information System (MISSY) - Integration of DDI-based Data ...
The New Microdata Information System (MISSY) - Integration of DDI-based Data ...Dr.-Ing. Thomas Hartmann
 
Use Cases and Vocabularies Related to the DDI-RDF Discovery Vocabulary (EDDI ...
Use Cases and Vocabularies Related to the DDI-RDF Discovery Vocabulary (EDDI ...Use Cases and Vocabularies Related to the DDI-RDF Discovery Vocabulary (EDDI ...
Use Cases and Vocabularies Related to the DDI-RDF Discovery Vocabulary (EDDI ...Dr.-Ing. Thomas Hartmann
 
Towards the Discovery of Person-Level Data (SemStats, ISWC 2013) [2013.10]
Towards the Discovery of Person-Level Data (SemStats, ISWC 2013) [2013.10]Towards the Discovery of Person-Level Data (SemStats, ISWC 2013) [2013.10]
Towards the Discovery of Person-Level Data (SemStats, ISWC 2013) [2013.10]Dr.-Ing. Thomas Hartmann
 
2013.02 - 7th Workshop of German Panel Surveys
2013.02 - 7th Workshop of German Panel Surveys2013.02 - 7th Workshop of German Panel Surveys
2013.02 - 7th Workshop of German Panel SurveysDr.-Ing. Thomas Hartmann
 

Mehr von Dr.-Ing. Thomas Hartmann (20)

Doctoral Examination at the Karlsruhe Institute of Technology (08.07.2016)
Doctoral Examination at the Karlsruhe Institute of Technology (08.07.2016)Doctoral Examination at the Karlsruhe Institute of Technology (08.07.2016)
Doctoral Examination at the Karlsruhe Institute of Technology (08.07.2016)
 
KIT Graduiertenkolloquium 11.05.2016
KIT Graduiertenkolloquium 11.05.2016KIT Graduiertenkolloquium 11.05.2016
KIT Graduiertenkolloquium 11.05.2016
 
2016.02 - Validating RDF Data Quality using Constraints to Direct the Develop...
2016.02 - Validating RDF Data Quality using Constraints to Direct the Develop...2016.02 - Validating RDF Data Quality using Constraints to Direct the Develop...
2016.02 - Validating RDF Data Quality using Constraints to Direct the Develop...
 
2015.09. - The Role of Reasoning for RDF Validation (SEMANTiCS 2015)
2015.09. - The Role of Reasoning for RDF Validation (SEMANTiCS 2015)2015.09. - The Role of Reasoning for RDF Validation (SEMANTiCS 2015)
2015.09. - The Role of Reasoning for RDF Validation (SEMANTiCS 2015)
 
2015.09 - Guidance, Please! Towards a Framework for RDF-Based Constraint Lang...
2015.09 - Guidance, Please! Towards a Framework for RDF-Based Constraint Lang...2015.09 - Guidance, Please! Towards a Framework for RDF-Based Constraint Lang...
2015.09 - Guidance, Please! Towards a Framework for RDF-Based Constraint Lang...
 
2015.03 - The RDF Validator - A Tool to Validate RDF Data (KIM)
2015.03 - The RDF Validator - A Tool to Validate RDF Data (KIM)2015.03 - The RDF Validator - A Tool to Validate RDF Data (KIM)
2015.03 - The RDF Validator - A Tool to Validate RDF Data (KIM)
 
2014.12 - Let's Disco - 2 (EDDI 2014)
2014.12 - Let's Disco - 2 (EDDI 2014)2014.12 - Let's Disco - 2 (EDDI 2014)
2014.12 - Let's Disco - 2 (EDDI 2014)
 
2014.12 - Let's Disco (EDDI 2014)
2014.12 - Let's Disco (EDDI 2014)2014.12 - Let's Disco (EDDI 2014)
2014.12 - Let's Disco (EDDI 2014)
 
2014.10 - How to Formulate and Validate Constraints (DC 2014)
2014.10 - How to Formulate and Validate Constraints (DC 2014)2014.10 - How to Formulate and Validate Constraints (DC 2014)
2014.10 - How to Formulate and Validate Constraints (DC 2014)
 
2014.10 - Towards Description Set Profiles for RDF Using SPARQL as Intermedia...
2014.10 - Towards Description Set Profiles for RDF Using SPARQL as Intermedia...2014.10 - Towards Description Set Profiles for RDF Using SPARQL as Intermedia...
2014.10 - Towards Description Set Profiles for RDF Using SPARQL as Intermedia...
 
2014.10 - Requirements on RDF Constraint Formulation and Validation (DC 2014)
2014.10 - Requirements on RDF Constraint Formulation and Validation (DC 2014)2014.10 - Requirements on RDF Constraint Formulation and Validation (DC 2014)
2014.10 - Requirements on RDF Constraint Formulation and Validation (DC 2014)
 
The Next Generation of the Microdata Information System MISSY - An Integrated...
The Next Generation of the Microdata Information System MISSY - An Integrated...The Next Generation of the Microdata Information System MISSY - An Integrated...
The Next Generation of the Microdata Information System MISSY - An Integrated...
 
The New Microdata Information System (MISSY) - Integration of DDI-based Data ...
The New Microdata Information System (MISSY) - Integration of DDI-based Data ...The New Microdata Information System (MISSY) - Integration of DDI-based Data ...
The New Microdata Information System (MISSY) - Integration of DDI-based Data ...
 
Use Cases and Vocabularies Related to the DDI-RDF Discovery Vocabulary (EDDI ...
Use Cases and Vocabularies Related to the DDI-RDF Discovery Vocabulary (EDDI ...Use Cases and Vocabularies Related to the DDI-RDF Discovery Vocabulary (EDDI ...
Use Cases and Vocabularies Related to the DDI-RDF Discovery Vocabulary (EDDI ...
 
Towards the Discovery of Person-Level Data (SemStats, ISWC 2013) [2013.10]
Towards the Discovery of Person-Level Data (SemStats, ISWC 2013) [2013.10]Towards the Discovery of Person-Level Data (SemStats, ISWC 2013) [2013.10]
Towards the Discovery of Person-Level Data (SemStats, ISWC 2013) [2013.10]
 
2013.05 - IASSIST 2013 - 3
2013.05 - IASSIST 2013 - 32013.05 - IASSIST 2013 - 3
2013.05 - IASSIST 2013 - 3
 
2013.05 - IASSIST 2013 - 2
2013.05 - IASSIST 2013 - 22013.05 - IASSIST 2013 - 2
2013.05 - IASSIST 2013 - 2
 
2013.05 - IASSIST 2013
2013.05 - IASSIST 20132013.05 - IASSIST 2013
2013.05 - IASSIST 2013
 
2013.05 - LDOW 2013 @ WWW 2013
2013.05 - LDOW 2013 @ WWW 20132013.05 - LDOW 2013 @ WWW 2013
2013.05 - LDOW 2013 @ WWW 2013
 
2013.02 - 7th Workshop of German Panel Surveys
2013.02 - 7th Workshop of German Panel Surveys2013.02 - 7th Workshop of German Panel Surveys
2013.02 - 7th Workshop of German Panel Surveys
 

2012.11 - ISWC 2012 - DC - 2

  • 1. Reusing XML Schemas' Information as a Foundation for Designing Domain Ontologies Thomas Bosch (M.Sc.) thomas.bosch@gesis.org | http://boschthomas.blogspot.com Problem Main Research Question • Traditionally, ontology engineers work in close collaboration with How to sped up the time-consuming process designing domain ontologies domain experts to design domain ontologies manually, which requires based on already available XSDs? lots of time and effort • Domain ontologies as well as XSDs describe domain data models • In many cases, XSDs are already defined and can be re-used Proposed Approach Derive Domain Ontologies using SWRL rules Novelty of Approach Evaluation • Based on XSD metamodel • User study to compare traditional manual and proposed approach • Extract vocabulary, terminology, syntactic structure vs. semantics • Define and classify typical tasks • Transformation on terminological and assertional knowledge level • Define measurement methods • Automatic vs. manual or semi-automatic transformation of XSD/XML • Derive domain ontologies of multiple and differing domains • Derivation of domain ontologies vs. creation of generated ontologies • OWL (more expressive power) vs. RDFS generated ontologies XSDs to Generated Ontologies