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

Chapter 192Service-Oriented Computing: Semantics, Processes, Agents - Munindar Singh and Michael Huhns Highlights of this Chapter Semantic Matchmaking An Advertising and Matchmaking Language Selecting Services SoCom Matchmaking

Chapter 193Service-Oriented Computing: Semantics, Processes, Agents - Munindar Singh and Michael Huhns 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 Reduce irrelevant results Reduce irrelevant traffic and management Improve the payoff

Chapter 194Service-Oriented Computing: Semantics, Processes, Agents - Munindar Singh and Michael Huhns 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

Chapter 195Service-Oriented Computing: Semantics, Processes, Agents - Munindar Singh and Michael Huhns 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.

Chapter 196Service-Oriented Computing: Semantics, Processes, Agents - Munindar Singh and Michael Huhns Consumer and Provider Agents SoComs provide the context for concepts represented & communicated

Chapter 197Service-Oriented Computing: Semantics, Processes, Agents - Munindar Singh and Michael Huhns Chapter 19 Summary