Report from the Semantic Web Working Symposium 30. July - 1. August

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Report from the Semantic Web Working Symposium
30. July - 1. August

• Isabel Cruz, Stefan Decker,
• Jerome Euzenat, Deborah McGuinness

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SWWS in Figures

• 260 participants
• 60 submitted Papers, 35 accepted
• Accepted papers were categorized in 3 different
  tracks
• Ontology and Ontology Maintenance
• Interoperation, Integration, and Composition
• Web Services and Web Applications

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Track 1 Ontologies

• Ontology Representation with RDF UML
• Ontology Translation, Versioning
• Tools wanted
• Maintenance
• Versioning
• Collaboration
• Reasoning
• Merging
• Creation
• Validation
• Classification
• Serving
• Management of change
• Tool library management

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Track 2 Interoperability

• Interoperability Layer Identified
• Object Interoperability
• Meta-Model Interoperability
• Ontology Interoperability
• Meta-Data (View/Query) Interoperability

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Track 3 Web Services

• Commercial Interest (UDDI, WSDL) WSFL)
• Describe Dynamic Computation
• Application area for Interoperation and
  Ontologies

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The Semantic Web Triangle
Software Knowledge Engineering (Software
Components, Agents, Process Modeling)
Libraries of Components, Interoperation for Web
Services
Reasoning, Planning, DAML-S
AI (Knowledge Representation, Ontologies)
DB (Semi-structured data, Interoperability)
Ontology Languages Semi-structured
DataOntology Transformation
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AI Add logic to the Web

• Assertions, rules
• Agents
• Interoperability
• First-order logics
• Ontologies, description logics
• Logic programming, datalog
• Problem-solving methods

Distributed knowledge base
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DB Everything is syntax

• Semistructured data
• Web services
• Interoperability
• Data integration
• Mediation, query rewriting
• Model management
• Conceptual modeling

Conglomerate of distributed heterogeneous (semistr
uctured) databases
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The Layer Cake

• Tim Berners-Lee
• Axioms, Architecture and Aspirations
• W3C all-working group plenary Meeting
• 28 February 2001

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Example Querying with multiple Semantics

• Plethora of data models and languages
• Relational Data, UML, ER, TopicMaps, DAMLOIL,
  XML-Schema, special purpose data models
• Query-Languages for Semi-Structured Data support
  either no (Lorel) or a fixed (RQL) Semantics

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Example Versioning Support for Collaborative
Development

• Joint Development of Ontologies requires
  Versioning Support
• Successful Model for Software Engineering (CVS)
• Versioning Support for CVS based on Text -gt not
  suitable for Structured Data
• Used by the GenOntology Working Group

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Conclusions

• The interesting research questions arise in the
  intersection of established areas
• Immediate need for technology