The following preprint was posted on arXiv last week.
Title
Towards a Semantic Search Engine for Scientific Article
Authors
Bastien Latard
MIPS, University of Haute-Alsace (France)
MDPI AG
Jonathan Weber
MIPS, University of Haute-Alsace
Germain Forestier
MIPS, University of Haute-Alsace
Michel Hassenforder
MIPS, University of Haute-Alsace
Source
via arXiv
September 28, 2017
Abstract
Because of the data deluge in scientific publication, finding relevant information is getting harder and harder for researchers and readers. Building an enhanced scientific search engine by taking semantic relations into account poses a great challenge. As a starting point, semantic relations between keywords from scientific articles could be extracted in order to classify articles. This might help later in the process of browsing and searching for content in a meaningful scientific way. Indeed, by connecting keywords, the context of the article can be extracted. This paper aims to provide ideas to build such a smart search engine and describes the initial contributions towards achieving such an ambitious goal.
Direct to Full Text Article (4 pages; PDF)
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