1 / 9

Chapter 19: Semantic Service Selection

Learn about semantic matchmaking, service selection strategies, ontology-based matchmaking, and team matchmaking in the context of Service-Oriented Computing (SOC) from Munindar Singh and Michael Huhns. Understand the importance of selecting the right services, applying selection in different scenarios, and utilizing a matchmaking language to describe and request services efficiently.

lmorrill
Download Presentation

Chapter 19: Semantic Service Selection

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  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 • 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 Commitment 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 • Describing services and formulating service requests involves • Provenance and ownership • Cost • Service agreements (e.g., refundable?) • Resource requirements • Availability: geographic, temporal, … • Payment mechanisms • Empirical, evaluative aspects (Chapter 20) Service-Oriented Computing: Semantics, Processes, Agents - Munindar Singh and Michael Huhns

  7. Semantic Team Matchmaking • Represent commitments and capabilities • Define abstract spheres of commitment (SoComs) 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 a role, an agent must • Possess the capabilities • 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 key in SOC • 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

More Related