SlideShare una empresa de Scribd logo
1 de 11
Reusing XML Schemas‘ Information as a
Foundation for Designing Domain Ontologies
                    Doctoral Consortium
     International Semantic Web Conference (ISWC 2012)
                                12.11.2012



                            Thomas Bosch

                                M.Sc. (TUM)
                                PhD student
                   http://boschthomas.blogspot.com
              GESIS - Leibniz Institute for the Social Sciences
Motivation
•   Traditionally, ontology engineers work in close collaboration
    with domain experts to design domain ontologies manually,
    which requires lots of time and effort
•   Domain ontologies as well as XML Schemas describe domain
    data models
•   In many cases, XML Schemas are already defined and can be
    re-used




                                                                    2
Main Research Question

 How to sped up the time-consuming process
designing domain ontologies based on already
           available XML Schemas?




                                               3
Proposed Approach




                    4
Evaluation
•       User Study
    •        Compare traditional manual and proposed semi-automatic
             approach
    •        Define and classify typical tasks
    •        Define measurement methods
•       Derive domain ontologies of multiple and differing domains
•       Proof generality of approach
    •        Domain-specific use cases
    •        Generic test cases
         •      Derived from XSD metamodel
         •      Any XSD and XML can be translated




                                                                      5
http://boschthomas.blogspot.com




                                  6
Backup




         7
research questions
• How to sped up the time-consuming process designing
  domain ontologies based on already available XML Schemas
  (RQ1)?
• How to ensure that unexceptionally any XML Schemas can be
  converted to generated ontologies using the same
  transformation rules (RQ2)?
• How to map XML Schema meta-elements to a generic
  ontology (RQ3)?


                                                              8
research questions
• How to map XML Schemas to generated ontologies (RQ4)?
• How to map XML document instances to RDF representations
  of generated ontologies (RQ5)?
• How to expand the information initially accessible in
  generated ontologies with additional domain-specific
  semantic information (RQ6)?




                                                             9
research questions
• How to create domain ontologies (OWL + RDF) as efficient as
  possible (RQ7)?
• Use cases (RQ8)?




                                                                10
Novelty of Approach
•   Based on XSD metamodel
•   Extract vocabulary, terminology, syntactic structure vs.
    semantics
•   Transformation on terminological and assertional
    knowledge level
•   Automatic vs. manual or semi-automatic transformation of
    XSD/XML
•   Semi-automatic derivation of DOs vs. creation of GOs
•   OWL (more expressive power) vs. RDFS GOs
                                                               11

Más contenido relacionado

La actualidad más candente

Research data: what can libraries do?
Research data: what can libraries do?Research data: what can libraries do?
Research data: what can libraries do?
Zaven Hakopov
 
Ontology learning from text
Ontology learning from textOntology learning from text
Ontology learning from text
robertstevens65
 

La actualidad más candente (9)

Research data: what can libraries do?
Research data: what can libraries do?Research data: what can libraries do?
Research data: what can libraries do?
 
Topic Models Exploration
Topic Models ExplorationTopic Models Exploration
Topic Models Exploration
 
Resource and Metadata Management with a Linked Data perspective
Resource and Metadata Management with a Linked Data perspectiveResource and Metadata Management with a Linked Data perspective
Resource and Metadata Management with a Linked Data perspective
 
Extensible stylesheet language (Transformation) or XSLT
Extensible stylesheet language (Transformation) or XSLTExtensible stylesheet language (Transformation) or XSLT
Extensible stylesheet language (Transformation) or XSLT
 
Introduction to xml, uses of xml wt
Introduction to xml, uses of xml wtIntroduction to xml, uses of xml wt
Introduction to xml, uses of xml wt
 
Repository Repositioned: a new way of doing things as OER changes
Repository Repositioned: a new way of doing things as OER changesRepository Repositioned: a new way of doing things as OER changes
Repository Repositioned: a new way of doing things as OER changes
 
Community curation at PomBase
Community curation at PomBaseCommunity curation at PomBase
Community curation at PomBase
 
Ontology learning from text
Ontology learning from textOntology learning from text
Ontology learning from text
 
Issues in Learning an Ontology from Text
Issues in Learning an Ontology from Text Issues in Learning an Ontology from Text
Issues in Learning an Ontology from Text
 

Destacado

2012.10 - DDI Lifecycle - Moving Forward - 3
2012.10 - DDI Lifecycle - Moving Forward - 32012.10 - DDI Lifecycle - Moving Forward - 3
2012.10 - DDI Lifecycle - Moving Forward - 3
Dr.-Ing. Thomas Hartmann
 

Destacado (9)

Workshop on Semantic Statistics - Generic Multilevel Approach Designing Domai...
Workshop on Semantic Statistics - Generic Multilevel Approach Designing Domai...Workshop on Semantic Statistics - Generic Multilevel Approach Designing Domai...
Workshop on Semantic Statistics - Generic Multilevel Approach Designing Domai...
 
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)
 
IASSIST 2011 - Representation of the Data Documentation Initiative using Sema...
IASSIST 2011 - Representation of the Data Documentation Initiative using Sema...IASSIST 2011 - Representation of the Data Documentation Initiative using Sema...
IASSIST 2011 - Representation of the Data Documentation Initiative using Sema...
 
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...
 
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)
 
OCAS @ ISWC 2011 - Generic Multilevel Approach Designing Domain Ontologies Ba...
OCAS @ ISWC 2011 - Generic Multilevel Approach Designing Domain Ontologies Ba...OCAS @ ISWC 2011 - Generic Multilevel Approach Designing Domain Ontologies Ba...
OCAS @ ISWC 2011 - Generic Multilevel Approach Designing Domain Ontologies Ba...
 
2012.10 - DDI Lifecycle - Moving Forward - 3
2012.10 - DDI Lifecycle - Moving Forward - 32012.10 - DDI Lifecycle - Moving Forward - 3
2012.10 - DDI Lifecycle - Moving Forward - 3
 

Similar a 2012.11 - ISWC 2012 - DC - 1

Taxonomy, ontology, folksonomies & SKOS.
Taxonomy, ontology, folksonomies & SKOS.Taxonomy, ontology, folksonomies & SKOS.
Taxonomy, ontology, folksonomies & SKOS.
Janet Leu
 
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
 
Hackathon report catalogue-ontology-vocabulary-characteristcs-relevant-to-e...
Hackathon report   catalogue-ontology-vocabulary-characteristcs-relevant-to-e...Hackathon report   catalogue-ontology-vocabulary-characteristcs-relevant-to-e...
Hackathon report catalogue-ontology-vocabulary-characteristcs-relevant-to-e...
Amanda Vizedom
 

Similar a 2012.11 - ISWC 2012 - DC - 1 (20)

Taxonomy, ontology, folksonomies & SKOS.
Taxonomy, ontology, folksonomies & SKOS.Taxonomy, ontology, folksonomies & SKOS.
Taxonomy, ontology, folksonomies & SKOS.
 
Poster
PosterPoster
Poster
 
sw owl
 sw owl sw owl
sw owl
 
Agile xml
Agile xmlAgile xml
Agile xml
 
OOR--Open-Ontology-Repository--jun2010
OOR--Open-Ontology-Repository--jun2010OOR--Open-Ontology-Repository--jun2010
OOR--Open-Ontology-Repository--jun2010
 
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...
 
Knowledge engineering and the Web
Knowledge engineering and the WebKnowledge engineering and the Web
Knowledge engineering and the Web
 
Semantic Web - Ontology 101
Semantic Web - Ontology 101Semantic Web - Ontology 101
Semantic Web - Ontology 101
 
Hackathon report catalogue-ontology-vocabulary-characteristcs-relevant-to-e...
Hackathon report   catalogue-ontology-vocabulary-characteristcs-relevant-to-e...Hackathon report   catalogue-ontology-vocabulary-characteristcs-relevant-to-e...
Hackathon report catalogue-ontology-vocabulary-characteristcs-relevant-to-e...
 
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...
 
A Framework for Ontology Usage Analysis
A Framework for Ontology Usage AnalysisA Framework for Ontology Usage Analysis
A Framework for Ontology Usage Analysis
 
Building OBO Foundry ontology using semantic web tools
Building OBO Foundry ontology using semantic web toolsBuilding OBO Foundry ontology using semantic web tools
Building OBO Foundry ontology using semantic web tools
 
Introduction to the Semantic Web
Introduction to the Semantic WebIntroduction to the Semantic Web
Introduction to the Semantic Web
 
Semantic Web use cases in outcomes research
Semantic Web use cases in outcomes researchSemantic Web use cases in outcomes research
Semantic Web use cases in outcomes research
 
OER for repository managers
OER for repository managersOER for repository managers
OER for repository managers
 
Application of Ontology in Semantic Information Retrieval by Prof Shahrul Azm...
Application of Ontology in Semantic Information Retrieval by Prof Shahrul Azm...Application of Ontology in Semantic Information Retrieval by Prof Shahrul Azm...
Application of Ontology in Semantic Information Retrieval by Prof Shahrul Azm...
 
Ontologies Fmi 042010
Ontologies Fmi 042010Ontologies Fmi 042010
Ontologies Fmi 042010
 
Ontology Design Pattern Property Specialisation Strategies
Ontology Design Pattern Property Specialisation StrategiesOntology Design Pattern Property Specialisation Strategies
Ontology Design Pattern Property Specialisation Strategies
 
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
 
394 wade word2007-ssp2008
394 wade word2007-ssp2008394 wade word2007-ssp2008
394 wade word2007-ssp2008
 

Más de Dr.-Ing. Thomas Hartmann

KIT Graduiertenkolloquium 11.05.2016
KIT Graduiertenkolloquium 11.05.2016KIT Graduiertenkolloquium 11.05.2016
KIT Graduiertenkolloquium 11.05.2016
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
 
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 Surveys
Dr.-Ing. Thomas Hartmann
 
2012.10 - DDI Lifecycle - Moving Forward - 3
2012.10 - DDI Lifecycle - Moving Forward - 32012.10 - DDI Lifecycle - Moving Forward - 3
2012.10 - DDI Lifecycle - Moving Forward - 3
Dr.-Ing. Thomas Hartmann
 
2012.10 - DDI Lifecycle - Moving Forward - 2
2012.10 - DDI Lifecycle - Moving Forward - 22012.10 - DDI Lifecycle - Moving Forward - 2
2012.10 - DDI Lifecycle - Moving Forward - 2
Dr.-Ing. Thomas Hartmann
 

Más de Dr.-Ing. Thomas Hartmann (20)

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...
 
2015.03 - 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)
 
2014.10 - 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
 
2012.12 - EDDI 2012 - Poster Demo
2012.12 - EDDI 2012 - Poster Demo2012.12 - EDDI 2012 - Poster Demo
2012.12 - EDDI 2012 - Poster Demo
 
2012.12 - EDDI 2012 - Workshop
2012.12 - EDDI 2012 - Workshop2012.12 - EDDI 2012 - Workshop
2012.12 - EDDI 2012 - Workshop
 
2012.10 - DDI Lifecycle - Moving Forward - 3
2012.10 - DDI Lifecycle - Moving Forward - 32012.10 - DDI Lifecycle - Moving Forward - 3
2012.10 - DDI Lifecycle - Moving Forward - 3
 
2012.10 - DDI Lifecycle - Moving Forward - 2
2012.10 - DDI Lifecycle - Moving Forward - 22012.10 - DDI Lifecycle - Moving Forward - 2
2012.10 - DDI Lifecycle - Moving Forward - 2
 
2012.10 - DDI Lifecycle - Moving Forward
2012.10 - DDI Lifecycle - Moving Forward2012.10 - DDI Lifecycle - Moving Forward
2012.10 - DDI Lifecycle - Moving Forward
 

2012.11 - ISWC 2012 - DC - 1

  • 1. Reusing XML Schemas‘ Information as a Foundation for Designing Domain Ontologies Doctoral Consortium International Semantic Web Conference (ISWC 2012) 12.11.2012 Thomas Bosch M.Sc. (TUM) PhD student http://boschthomas.blogspot.com GESIS - Leibniz Institute for the Social Sciences
  • 2. Motivation • Traditionally, ontology engineers work in close collaboration with domain experts to design domain ontologies manually, which requires lots of time and effort • Domain ontologies as well as XML Schemas describe domain data models • In many cases, XML Schemas are already defined and can be re-used 2
  • 3. Main Research Question How to sped up the time-consuming process designing domain ontologies based on already available XML Schemas? 3
  • 5. Evaluation • User Study • Compare traditional manual and proposed semi-automatic approach • Define and classify typical tasks • Define measurement methods • Derive domain ontologies of multiple and differing domains • Proof generality of approach • Domain-specific use cases • Generic test cases • Derived from XSD metamodel • Any XSD and XML can be translated 5
  • 7. Backup 7
  • 8. research questions • How to sped up the time-consuming process designing domain ontologies based on already available XML Schemas (RQ1)? • How to ensure that unexceptionally any XML Schemas can be converted to generated ontologies using the same transformation rules (RQ2)? • How to map XML Schema meta-elements to a generic ontology (RQ3)? 8
  • 9. research questions • How to map XML Schemas to generated ontologies (RQ4)? • How to map XML document instances to RDF representations of generated ontologies (RQ5)? • How to expand the information initially accessible in generated ontologies with additional domain-specific semantic information (RQ6)? 9
  • 10. research questions • How to create domain ontologies (OWL + RDF) as efficient as possible (RQ7)? • Use cases (RQ8)? 10
  • 11. Novelty of Approach • Based on XSD metamodel • Extract vocabulary, terminology, syntactic structure vs. semantics • Transformation on terminological and assertional knowledge level • Automatic vs. manual or semi-automatic transformation of XSD/XML • Semi-automatic derivation of DOs vs. creation of GOs • OWL (more expressive power) vs. RDFS GOs 11