. (2009). “Applying Optimal Stopping for Optimizing Queries to External Semantic Web Resources”. Software and Data Technologies, Berlin-Heidelberg:Springer:105-118. doi: 10.1007/978-3-642-05201-9.
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.