Filtering and selecting semantic web services with interactive composition techniques

Evren Sirin; Bijan Parsia; James Hendler

doi:10.1109/MIS.2004.27

Filtering and selecting semantic web services with interactive composition techniques

Evren Sirin, Bijan Parsia, James Hendler

Research output: Contribution to journal › Article › peer-review

Abstract

The utility of Semantic Web Service descriptions for service composition is discussed. A goal-oriented, interactive composition approach, that uses matchmaking algorithms, help users to filter and select services while building the composition. Web services provide interoperability between diverse applications, using platform- and language-independent interfaces for easily integrating heterogeneous systems. The service composition in the current framework requires a human in the loop. A human who has the domain knowledge for the task must guide the overall composition process while the composer determines the relevant choices at each step.

Original language	English
Pages (from-to)	42-49
Number of pages	7
Journal	IEEE Intelligent Systems
Volume	19
Issue number	4
DOIs	https://doi.org/10.1109/MIS.2004.27
Publication status	Published - Jul 2004

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10.1109/MIS.2004.27

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title = "Filtering and selecting semantic web services with interactive composition techniques",

abstract = "The utility of Semantic Web Service descriptions for service composition is discussed. A goal-oriented, interactive composition approach, that uses matchmaking algorithms, help users to filter and select services while building the composition. Web services provide interoperability between diverse applications, using platform- and language-independent interfaces for easily integrating heterogeneous systems. The service composition in the current framework requires a human in the loop. A human who has the domain knowledge for the task must guide the overall composition process while the composer determines the relevant choices at each step.",

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AB - The utility of Semantic Web Service descriptions for service composition is discussed. A goal-oriented, interactive composition approach, that uses matchmaking algorithms, help users to filter and select services while building the composition. Web services provide interoperability between diverse applications, using platform- and language-independent interfaces for easily integrating heterogeneous systems. The service composition in the current framework requires a human in the loop. A human who has the domain knowledge for the task must guide the overall composition process while the composer determines the relevant choices at each step.

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JO - IEEE Intelligent Systems

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Filtering and selecting semantic web services with interactive composition techniques

Abstract

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