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)
Filed under: Data Files, Journal Articles, News
About Gary Price
Gary Price (gprice@gmail.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.
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