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Issue title: Linked Data for science and education
Article type: Research Article
Authors: Xin, Reynold S. | Hassanzadeh, Oktie; | Fritz, Christian | Sohrabi, Shirin | Miller, Renée J.
Affiliations: Department of EECS, University of California, Berkeley, California, USA. E-mail: [email protected] | Department of Computer Science, University of Toronto, 10 King's College Rd., Toronto, Ontario, M5S 3G4, Canada. E-mail: {oktie,shirin,miller}@cs.toronto.edu | Palo Alto Research Center, 3333 Coyote Hill Road, Palo Alto, California, USA. E-mail: [email protected]
Note: [] Corresponding author.
Abstract: We present BibBase, a system for publishing and managing bibliographic data available in BiBTeX files. BibBase uses a powerful yet light-weight approach to transform BiBTeX files into rich Linked Data as well as custom HTML code and RSS feed that can readily be integrated within a user's website while the data can instantly be queried online on the system's SPARQL endpoint. In this paper, we present an overview of several features of our system. We outline several challenges involved in on-the-fly transformation of highly heterogeneous BiBTeX files into high-quality Linked Data, and present our solution to these challenges.
Keywords: Bibliographic data management, Linked Data, data integration
DOI: 10.3233/SW-2012-0062
Journal: Semantic Web, vol. 4, no. 1, pp. 15-22, 2013
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