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Maximizing Service Selection in Semantic Service-Oriented Computing

Dive into the world of semantic service selection in service-oriented computing, exploring the intricacies of matching, selecting, and optimizing services for various users and providers. Understand how semantic matchmaking utilizes ontologies, formal representations, and agent roles to enhance service discovery and utilization significantly.

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Maximizing Service Selection in Semantic Service-Oriented Computing

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  1. Chapter 19:Semantic Service Selection Service-Oriented Computing: Semantics, Processes, Agents– Munindar P. Singh and Michael N. Huhns, Wiley, 2005

  2. Highlights of this Chapter • Semantic Matchmaking • An Advertising and Matchmaking Language • Selecting Services • SoCom Matchmaking Service-Oriented Computing: Semantics, Processes, Agents - Munindar Singh and Michael Huhns

  3. Discovery versus Selection • Often the purpose behind discovering a service is to select a good one • We don’t need to find all services • Just the one that’s best for us! • By focusing on selection, we can • Improve the payoff • Reduce overhead from trying irrelevant or less relevant services Service-Oriented Computing: Semantics, Processes, Agents - Munindar Singh and Michael Huhns

  4. Where Does Selection Apply? • Service users looking for providers • Service providers looking for users • Brokers looking for both users and providers • Markets to be populated with participants • Spheres of Commitments or organizations to be instantiated The situation is fundamentally symmetric Service-Oriented Computing: Semantics, Processes, Agents - Munindar Singh and Michael Huhns

  5. Semantic Matchmaking • Match using an ontology • Domain of a service • Preconditions and effects of methods • Use ontologies to reformulate queries and generate query plans by • Generalizing or specialize concepts • Partitioning concepts • Decomposing properties Service-Oriented Computing: Semantics, Processes, Agents - Munindar Singh and Michael Huhns

  6. Matchmaking Language • A language to describe services and formulate service requests would need many features • Provenance and ownership • Cost • Service agreements (e.g., refundable?) • Resource requirements • Availability: geographic, temporal, … • Payment mechanisms • Possibly, support for empirical, evaluative aspects (discussed in Chapter 20) Service-Oriented Computing: Semantics, Processes, Agents - Munindar Singh and Michael Huhns

  7. Semantic Team Matchmaking • Formally represent commitments and capabilities (not just methods) • Define abstract spheres of commitment (SoCom) in terms of roles, e.g., buy-sell: • Capabilities: can issue quote and ship, can pay • Commitments: will honor price quote; will pay • To adopt these roles, agents must have the capabilities and acquire the commitments Service-Oriented Computing: Semantics, Processes, Agents - Munindar Singh and Michael Huhns

  8. Consumer and Provider Agents SoComs provide the context for concepts represented & communicated Service-Oriented Computing: Semantics, Processes, Agents - Munindar Singh and Michael Huhns

  9. Chapter 19 Summary • Service selection is a key aspect of SOC • Service selection involves suitably rich representations of • Services • Services requested or desired • More than two-party, client-server: • Formation of SoComs to solve complex business problems Service-Oriented Computing: Semantics, Processes, Agents - Munindar Singh and Michael Huhns

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