Applying Optimal Stopping for Optimizing Queries to External Semantic Web Resources

Citation

Albert Weichselbraun. (2009). Applying Optimal Stopping for Optimizing Queries to External Semantic Web Resources. Software and Data Technologies, Berlin-Heidelberg:Springer:105-118

Abstract

Semantic Web resources based on ideas originally proposed by MacQueen for optimal stopping in business economics. Modeling applications as decision makers looking for optimal action/answer sets, facing search costs for acquiring information, test costs for checking these information, and receiving a reward depending on the usefulness of the proposed solution, yields strategies for optimizing queries to external services. An extensive evaluation compares these strategies to a conventional coverage based approach, based on real world response times taken from popular Web services.

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