Semantic Search on Scientific Repositories: A Systematic Literature Review


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.

Palavras-chave: Open Science, Semantic Search, Scientific collaboration


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Xu, H., Sun, L., Zou, M., and Meng, A. (2013). A survey of scientific metadata schema. Applied Mechanics and Materials, 411-414:349–352.

Zhang, W., Byna, S., Niu, C., and Chen, Y. (2019). Exploring metadata search essentials for scientific data management. In 2019 IEEE HiPC, pages 83–92.
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GOTTARDI, Thiago; MEDEIROS, Claudia Bauzer; DOS REIS, Julio Cesar. Semantic Search on Scientific Repositories: A Systematic Literature Review. In: SIMPÓSIO BRASILEIRO DE BANCO DE DADOS (SBBD), 35. , 2020, Evento Online. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2020 . p. 271-276. ISSN 2763-8979. DOI: