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Towards a Semantic Search Engine for Open Source Software

  • Sihem Ben SassiEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9679)

Abstract

To be able to use or reuse an open source software, we must be aware of its existence and find it first. Existing search engines on the Web do not allow finding open source software satisfying given requirements while taking into account special semantics. In this paper, we propose a semantic search system for open source software allowing to identify and localize them. It relies on an ontology providing a mechanism to describe knowledge about open source software. Moreover, it can infer knowledge for semantic identification through some defined rules. Preliminary results are encouraging. The evaluation results compared to a non-semantic version of the same search engine confirm the added value of the consideration of the semantic aspect in search.

Keywords

Open source software Ontology Search engine Semantic FLOSS 

Notes

Acknowledgments

Acknowledgment to Atef Charef and Raja Lagha for their participation during the elaboration of Se2FLOSS.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.RIADI Laboratory, National School of Computer SciencesManouba UniversityLa ManoubaTunisia
  2. 2.High Institute of Telecommunication, Technoparc ElGhazalaArianaTunisia

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