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Semantic Search on Scientific Repositories: A Systematic Literature Review
Author(s) -
Thiago Gottardi,
Cláudia Bauzer Medeiros,
Júlio Cesar dos Reis
Publication year - 2020
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5753/sbbd.2020.13653
Subject(s) - computer science , reuse , data science , world wide web , scopus , semantic web , semantic search , scientific literature , open science , software , information retrieval , engineering , waste management , paleontology , physics , medline , astronomy , law , political science , biology , programming language
Open Science has been recognized as one of the most important movements for leveraging scientific collaboration, helping scientists produce high quality research through sharing and reuse. It is usually defined as a combination of three factors: open access, open data and open processes, and relies on the corresponding publication of papers, data and software in repositories that can be publicly accessed on the Web. However, finding relevant papers, data and software has become one of the associated problems. Many search mechanisms – in particular semantic search – have risen as a means to solve this issue. Nevertheless, implementing these mechanisms and integrating them into scientific repositories presents many challenges. This paper presents a systematic literature review of research efforts on mechanisms for supporting search for scientific papers, data and processes, based on extracting and analyzing the entire contents of Scopus and IEEE Xplore.

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