A Software Framework for Matchmaking based on Semantic Web Technology Eyal Oren DERI 2004/04/14 on the paper by Li and Horrocks

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Presentation transcript:

A Software Framework for Matchmaking based on Semantic Web Technology Eyal Oren DERI 2004/04/14 on the paper by Li and Horrocks

Eyal Oren2 Overview Service advertisement and discovery DAML-S based service ontology working prototype –agent based (JADE) –DL Reasoner (Racer) quite comparable with D5.1

Eyal Oren3 Current standards WSDL –XML grammar for describing network services –structured way of describing communication –no support for semantic description UDDI –registry describing businesses and offered services –no description of service capabilities, only string matching –you could use DAML-S (or WSMO) tModels DAML-S –describing properties and capabilities of web services –“can adequately represent functionalities of web services”

Eyal Oren4 extension/application of DAML-S describe specific profiles –service advertisement –service request perform a matching of requests and advertisements question is whether DAML-S (or DAML+OIL) is suitable/sufficient for describing web services in wsmo we don’t (yet) limit the language expressiveness therefore, everything is possible and nothing is (known to be) computable we will define a decidable subset: WSML-DL, WSML-HL, WSML-DLP (?)

Eyal Oren5 Example – buying PC’s

Eyal Oren6 Example – advertisement and request note, that for efficiency reasons, these (individual) offers and requests are expressed as special concepts (Tbox reasoning is more efficient than ABox reasoning) profile does not include providedBy and requestedBy (as DAML-S prescribes)

Eyal Oren7 Matching levels Advertisment A and Request R Exact: A ≡ R PlugIn: (offering PC, looking for second-hand PC) Subsume: (offering second-hand, looking for PC) Intersection: Disjoint

Eyal Oren8 Prototype - agents Advertiser: publishes, withdraws, modifies advertisements Seeker: publishes requests (volatile/persistent) Host: –manages repository of advertisements –manages persistent queries –uses Racer to compute request-advertisement subsumption –could compute advertisements hierarchy off-line requests subsumptions easy inserting new advertisements easy removing advertisements harder (re-classifying TBox)

Eyal Oren9 Useful for WSMO this works, so we need to explain: why is DAML-S not sufficient (not expressive) ? look at levels of matching (exact, plugin, subsume, etc.) agents infrastructure (FIPA), for WSMX (??)