October 20, 2017

Preprint: “Towards a Semantic Search Engine for Scientific Article”

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)

Gary Price About Gary Price

Gary Price (gprice@mediasourceinc.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. Before launching INFOdocket, Price and Shirl Kennedy were the founders and senior editors at ResourceShelf and DocuTicker for 10 years. From 2006-2009 he was Director of Online Information Services at Ask.com, and is currently a contributing editor at Search Engine Land.

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