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Enhancing Semantic Service Discovery: Insights from WP4 Meeting in Bologna

The WP4 meeting in Bologna on July 29, 2003, focused on the development of a basic service discovery prototype tied to semantic technologies. Key topics included performance measurements, ontology design, and the integration of semantic components with the prototype. Attendees discussed service requests, context selection, and matchmaking in High Energy Physics applications. The meeting also reviewed different approaches for performance measurement and the ongoing exploration of similarity matching techniques. The outcomes aimed to facilitate efficient resource discovery in grid computing environments.

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Enhancing Semantic Service Discovery: Insights from WP4 Meeting in Bologna

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  1. Activity Update WP4 Meeting Bologna – 29.07.2003 Simone Ludwig Electronic and Computer Engineering Department Brunel University / PPARC

  2. Outline • Recent Work • Basic Service Discovery Prototype • Performance Measurements • Ontology Design • Rule-based Engine • Planned/Ongoing Work • Integration of the semantic part with the basic service discovery prototype • Resource Ontology • Investigation of Similarity Matching • Time Outline DataTAG WP 4 Meeting, Bologna

  3. Architecture of Semantic Service Discovery Prototype Input/Output Process Resources HEP Applic. Onotology Service Request User Inter-face Context Selection DAML+ OIL Parser Grid Service Ontology Semantic Selection Inference Engine (JESS) Set of rules Registry Selection Service Registry (UDDI) Service Response Resource Ontology Matchmaking Engine DataTAG WP 4 Meeting, Bologna

  4. Basic Service Discovery Prototype • Implementation of the basic service discovery prototype • OGSA-based • XML • SOAP • WSDL • UDDI • GUI:http://193.62.142.4:31000/webapp/ServiceDiscoveryJSP/ServiceDiscovery.jsp DataTAG WP 4 Meeting, Bologna

  5. DataTAG WP 4 Meeting, Bologna

  6. DataTAG WP 4 Meeting, Bologna

  7. DataTAG WP 4 Meeting, Bologna

  8. DataTAG WP 4 Meeting, Bologna

  9. Performance Measurement Setup • 3 different approaches • Centralised • Decentralised • Hybrid DataTAG WP 4 Meeting, Bologna

  10. Global Registry VO2 VO1 VO3 Centralised Approach DataTAG WP 4 Meeting, Bologna

  11. Measurements for CSD DataTAG WP 4 Meeting, Bologna

  12. Local Registry Local Registry Local Registry RSDB RSDB RSDB VO1 VO2 VO3 Or chain model Decentralised Approach DataTAG WP 4 Meeting, Bologna

  13. Measurements for DSD DataTAG WP 4 Meeting, Bologna

  14. VO1 VO2 VO3 Global Registry Local Registry Local Registry Local Registry Hybrid Approach DataTAG WP 4 Meeting, Bologna

  15. Measurements for HSD DataTAG WP 4 Meeting, Bologna

  16. Comparison DataTAG WP 4 Meeting, Bologna

  17. CSD DSD HSD Admini- stration Easy Moredifficult More difficult Easy More complex More complex Manage-ment Security Easy More complex More complex Scalability Not good Good Good Perform-ance / SDT Limited Good Good Reliability Lowest Medium Highest Results DataTAG WP 4 Meeting, Bologna

  18. Ontology Design • Ontology Tool: Protégé • Application: HEP application use cases • Extraction of use cases -> ontology • -> HEP application ontology DataTAG WP 4 Meeting, Bologna

  19. DataTAG WP 4 Meeting, Bologna

  20. Rule-based Engine • Also called Inference Engine • Is a generic control mechanism that applies knowledge present in the knowledge base (ontology) to task-specific data to arrive at some conclusion. • 2 different approaches: • Forward chaining (data-directed inference): • JRules • JESS • Backward chaining (goal-directed inference): • Mandarax DataTAG WP 4 Meeting, Bologna

  21. Semantic Matchmaking Module DataTAG WP 4 Meeting, Bologna

  22. Integration • Integration of semantic part with basic service discovery prototype • Prototype will consist of: • Basic Part: • Web/Grid services • SOAP • WSDL • Service Registry (UDDI) • Semantic Part: • Context ontologies for the 4 HEP applications (CMS, ATLAS, ALICE, LHCb) • Grid Application Ontology • DAML+OIL Parser • Set of rules • Inference Engine DataTAG WP 4 Meeting, Bologna

  23. Resource Ontology • Extract the concept • Basic Structure of Resources • CE • SE • WN • RB • UI • Attributes of each resource element • Relationship between the resources • Define the resource ontology DataTAG WP 4 Meeting, Bologna

  24. Time Outline Perfor-mance Measure-ments Inte-gration of semant. Part with basic SDP Resource Ontology (RO) Basic SD Prototype Ontology Design Inte-gration with RO Similarity Matching September October August June July November December May DataTAG WP 4 Meeting, Bologna

  25. DataTAG WP 4 Meeting, Bologna

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