Abstract
This paper presents S2niffer (Service Sniffer), a query-based system for discovering services. S2niffer is a part of a broader project whose goal is, given mobile users’ needs (e.g., buying airplane tickets, booking a hotel room, renting a car, etc.) expressed in a text query, to discover and compose services to be executed. Behind the service discovery system is the idea to match the users’ queries with a set of documents in a corpus such that each document contains a service description given in free text, obtained from its corresponding profile given in a OWLS file. A preliminar evaluation reveals that S2niffer outperforms Latent Semantic Indexing and Vector Space Model.
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CITATION STYLE
Caicedo-Castro, I. B., Fauvet, M. C., & Duarte-Amaya, H. (2015). A description-based service search system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8954, pp. 365–370). Springer Verlag. https://doi.org/10.1007/978-3-319-22885-3_31
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