Vrije Universiteit Amsterdam

Organization full name: Vrije Universiteit Amsterdam
Organization acronym: VU
Organization Web: www.cs.vu.nl
Country: The Netherlands
City: Amsterdam
Zip code: 1081HV
Street address: de Boelelaan 1081a
Funded: true
generates: 5th International Workshop on Evaluation of Ontologies and Ontology-based Tools Amsterdam - WP2.1 - Contribution VU to 2.1 Amsterdam - WP2.1 - Meeting Results Configuration of Web Services as Parametric Design Contextualizing Ontologies Crete - WP2.1 - Approximate Reasoning Crete - WP2.1 - Meeting Results D1.2.2.1.4: Benchmarking the processing of Inconsistent Ontologies D2.1.1: State of the art on the scalability of ontology-based technology D2.1.2.2v1: Report on realizing practical approximate and distributed reasoning for ontologies D2.1.2: Report on methods for approximate reasoning, using knowledge compilation, language weakening and approximate deduction D2.1.3.1: Report on modularization of ontologies D2.1.4: Specification of a methodology, general criteria, and benchmark suites for benchmarking ontology tools D2.1.5: Prototypes of tools and test suites for benchmarking ontology building tools D4.3.1v2: Technical report Extracting Ontologies from Software Documentation: a Semi-Automatic Method and its Evaluation Foundations for DAML-S: Aligning DAML-S to DOLCE Foundations for Service Ontologies: Aligning OWL-S to DOLCE From Software APIs to Web Service Ontologies: a Semi-Automatic Extraction Method Index Structures and Algorithms for Querying Distributed RDF Repositories Information Sharing on the Semantic Web Kick-off - WP 2.1 presentation Manchester - WP 2.1 - Approximate Reasoning Manchester - WP 2.1 - Introduction Manchester - WP 2.1 - Meeting Results Manchester - WP 2.1 - Partitioning Manchester - WP 2.5 - Instance Realisation Modelling Web Service Composition for Deductive Web Mining Research Meeting Manchester WP2.1 Agenda Semantic Web Primer Structure-Based Partitioning of Large Class Hierarchies Towards Distributed Processing of RDF Path Queries Towards a Structured Analysis of Approximate Problem Solving: a Case Study in Classification Using C-OWL for the Alignment and Merging of Medical Ontologies
has contact person: Frank van Harmelen Guus Schreiber
is involved in: T1.3.4: Management and self-assessment T2.1.1: State of the art on the technology participating on the scalability WP T2.1.2.2: Realizing Practical Approximate and Distributed Reasoning for Ontologies T2.1.2: Approximate reasoning with ontologies T2.1.3.1: Modularization of ontologies including a Framework for modularisation T2.1.3.2: Methods for modularization of ontologies T2.1.3: Modularization of ontologies T2.1.4: Definition of a methodology and general criteria for ontology-based tools benchmarking T2.1.5: Construction of prototypes of tools for benchmarking ontology building tools T2.1.6: Benchmarking of ontology building tools according to the criteria and test beds produced T2.1.7: Management and Self-assessment T2.2.1: Continous research on alignment alignment semantics T2.2.3: Research on integration techniques and implementations T2.2.4: Research on alignment techniques and implementations
is task leader in: T2.1.1: State of the art on the technology participating on the scalability WP T2.1.2: Approximate reasoning with ontologies T2.1.7: Management and Self-assessment
leads: WP2.1: Scalability WP4.3: Technical Management
participates in: Knowledge Web
team is formed by: Annette ten Teije Borys Omelayenko Frank van Harmelen Guus Schreiber Hans Akkermans Jaap Gordijn Laura Hollink Machiel Jansen Mark F.J. van Assem Marta Sabou Michel Klein Péter Mika Ronny Siebes Zharko Aleksovski
works in: WP1.3: Technology Recommendations WP2.1: Scalability WP2.2: Heterogenity WP2.3: Dynamics WP2.5: Semantic Web Language Extensions WP2.6: Weaving the European Semantic Web Research Network WP3.1: EASE WP3.2: Educational Contents and Event Provision WP4.3: Technical Management