Applications, Methodologies, and Technologies for Linked Open Data: A Systematic Literature Review

Cecilia Avila-Garzon
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Cecilia Avila-Garzon: Faculty of Mathematics and Engineering, Fundación Universitaria Konrad Lorenz, Colombia

International Journal on Semantic Web and Information Systems (IJSWIS), 2020, vol. 16, issue 3, 53-69

Abstract: Advances in semantic web technologies have rocketed the volume of linked data published on the web. In this regard, linked open data (LOD) has long been a topic of great interest in a wide range of fields (e.g. open government, business, culture, education, etc.). This article reports the results of a systematic literature review on LOD. 250 articles were reviewed for providing a general overview of the current applications, technologies, and methodologies for LOD. The main findings include: i) most of the studies conducted so far focus on the use of semantic web technologies and tools applied to contexts such as biology, social sciences, libraries, research, and education; ii) there is a lack of research with regard to a standardized methodology for managing LOD; and iii) a plenty of tools can be used for managing LOD, but most of them lack of user-friendly interfaces for querying datasets.

Date: 2020
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