STUDY OF CURRENT APPROACHES FOR WEB PUBLISHING OF OPEN SCIENTIFIC DATA
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For citation: Mouromtsev D.I., Lehmann J., Semerkhanov I.A., Navrotskiy M.A., Ermilov I.S. Study of current approaches for Web publishing of open scientific data. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2015, vol. 15, no. 6, pp. 1081–1087.
Subject of Study. The subject of study of this work is closely related to the development of tools and technologies for Internet publishing of open data in machine-readable formats with regard to data of universities, educational and research organizations and scientific laboratories. We analyze the trends in the publishing formats most commonly used including not only popular formats such as pdf, csv, excel, but also the Semantic Web formats such as RDF. The paper describes the way of scientific data publication in semantic formats on the example of import and convertation of the information from University database. Methods. We describe the methods of publication for scientific open data in the network consisting of a set of transformations of the original data sets to the final semantic representation. These transformation steps include data upload from a relational database, data mapping on the ontological model (schema) and the generation of a set of RDF-triples corresponding to the initial database fragment. A description is given to the popular open data publishing systems, such as CKAN, VIVO, and others. OpenLink Virtuoso system is selected as the primary storage and data publication. The description of RDF data model is used as a way of presenting open data of ITMO University. Main Results. The authors have described the methods of scientific open data publication and identified their shortcomings. To demonstrate the efficiency of the proposed method of university open data publication, a software prototype has been developed available online at: http://lod.ifmo.ru/. The example of the system usage is also given. Practical Relevance. Implementation of the proposed approach will improve significantly the effect of the publication of university open data and make it available for third-party applications, such as applications for information retrieval about educational activities and research results, analysis of scientific activities in universities and their research departments.
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