Abstract
This paper presents S \(^2\) niffer (Service Sniffer), a query-based system for discovering services. S \(^2\) niffer 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 OWL-S file. A preliminar evaluation reveals that S \(^2\) niffer outperforms Latent Semantic Indexing and Vector Space Model.
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Notes
- 1.
MorphAdorner, http://devadorner.northwestern.edu/maserver/lemmatize.
- 2.
Apache OpenNLP, http://opennlp.apache.org/.
- 3.
OWL-S Service Retrieval Test Collection, http://projects.semwebcentral.org/projects/owls-tc/.
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Acknowledgment
Isaac B. Caicedo-Castro is a PhD student supported by Colciencias-Colfuturo (convocatoria 528 de 2011) scholarship, besides, he is founded by the Univ. de Córdoba (Colombia).
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Caicedo-Castro, I.B., Fauvet, MC., Duarte-Amaya, H. (2015). A Description-Based Service Search System. In: Toumani, F., et al. Service-Oriented Computing - ICSOC 2014 Workshops. Lecture Notes in Computer Science(), vol 8954. Springer, Cham. https://doi.org/10.1007/978-3-319-22885-3_31
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