GSSP – A Generic Semantic Search Platform: Evolve from a Traditional to a Semantic Search System

GSSP – A Generic Semantic Search Platform: Evolve from a Traditional to a Semantic Search System

Sara Paiva (Viana do Castelo Polytechnic Institute, Portugal), Manuel Ramos-Cabrer (Vigo University, Spain), and Alberto Gil-Solla (Vigo University, Spain)
Copyright: © 2015 |Pages: 20
DOI: 10.4018/978-1-4666-8368-6.ch014
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Abstract

Semantic search has been rapidly growing as a way to improve search results. The meaning of the input expression has revealed to produce better results than the traditional keyword appearance. Regarding search engines, there are currently several proposals but all of them are already implemented to a specific goal. We find important to develop a generic semantic search system so it rapidly be adapted to any system and domain that has search needs. This work introduces GSSP, a generic semantic search platform proposal. We present the platform and the several steps that need to be followed in order for the platform to be used. We also provide the ongoing work that is being done to apply GSSP to a Quality Management System.
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Literature Review

When reviewing the literature before introducing GSSP, several aspects need to be addressed. First and most important, the need for a generic system emerges as we didn’t find in the literature review any system capable of easily being adopted for a wide range of domains, what means that currently semantic search systems should be developed from scratch for each particular case.

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