Abstract
Indexing is a primary technique for enhancing the performance of search engines, databases and other data-intensive applications. In this chapter, we show how ontology-based indexing can be used to enhance the performance of matchmakers for semantic Web services. We provide an overview of the indexing architecture, and describe how ontologies can be used as the basis of index structures that enable sub-linear query inference process. We describe several key tradeoffs that characterize the index, such as the tradeoff between scalability and precision. We demonstrate our method by describing OPOSSUM, an index-based matchmaker, which was the fastest matchmaker at the 2009 International Semantic Service Selection Contest (S3).
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Notes
- 1.
The OWL-S service retrieval test collection OWLS-TC v2 consists of more than 570 services specified in OWL-S 1.1 covering seven application domains, and obtained from public IBM UDDI registries and semi-automatically transformed from WSDL to OWL-S. The collection can be found at: http://projects.semwebcentral.org/projects/owls-tc/
- 2.
The code of OPOSSUM is distributed under open-source license, and can be downloaded from http://projects.semwebcentral.org/projects/opossum/. A description of OPOSSUM’s indexing and retrieval methods is presented at [9].
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Toch, E. (2012). OPOSSUM: Indexing Techniques for an Order-of-Magnitude Improvement of Service Matchmaking Times. In: Blake, B., Cabral, L., König-Ries, B., Küster, U., Martin, D. (eds) Semantic Web Services. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28735-0_4
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