Heuristics for automated knowledge source integration and service composition

Heuristics for automated knowledge source integration and service composition

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Article ID: iaor2009824
Country: United Kingdom
Volume: 35
Issue: 4
Start Page Number: 1292
End Page Number: 1314
Publication Date: Apr 2008
Journal: Computers and Operations Research
Authors: , ,
Keywords: heuristics
Abstract:

The NP-hard component set identification problem is a combinatorial problem arising in the context of knowledge discovery, information integration, and knowledge source/service composition. Considering a granular knowledge domain consisting of a large number of individual bits and pieces of domain knowledge (properties) and a large number of knowledge sources and services that provide mappings between sets of properties, the objective of the component set identification problem is to select a minimum cost combination of knowledge sources that can provide a joint mapping from a given set of initially available properties (initial knowledge) to a set of initially unknown properties (target knowledge). We provide a general framework for heuristics and consider construction heuristics that are followed by local improvement heuristics. Computational results are reported on randomly generated problem instances.

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