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- W1575041439 abstract "AbstractThe shift from Web pages to Web services enables programmatic access to the near limitless information on the World Wide Web. Autonomous agents should generate concise answers to complex questions by invoking the right services with the right data. However, traditional methods of programming automated query processing capabilities are inadequate for two reasons: as Web services become more abundant, it becomes difficult to manually formulate the query process; and, services may be temporarily unavailable – typically just when they are needed. We have created a tool called Meta-Planning for Agent Composition (MPAC) that dynamically builds agents to solve a user-defined goal using a select, currently available set of services. MPAC relies on a planning algorithm and semantic descriptions of services in the Web Ontology Language/Resource Description Framework (OWL/RDF) and the Web Ontology Language-Services (OWL-S) frameworks. Our novel approach for building these agents is domain independent. It assumes that semantic descriptions of services and a registry of currently available services will be available, as envisioned by the Semantic Web community. Once an information goal is expressed through the ontology of the Web service descriptions, MPAC determines the right sequence of service invocations. To illustrate our approach, we describe a proof-of-concept application in a maritime navigation domain.KeywordsResource Description FrameworkService LocatorComposite ServiceSemantic DescriptionSimple Object Access ProtocolThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
- W1575041439 created "2016-06-24" @default.
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- W1575041439 date "2005-01-01" @default.
- W1575041439 modified "2023-10-18" @default.
- W1575041439 title "Dynamic Agent Composition from Semantic Web Services" @default.
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- W1575041439 doi "https://doi.org/10.1007/978-3-540-31839-2_3" @default.
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