Publishing bibliographic data on the Semantic Web using BibBase

  • Authors:

  • Reynold S. Xin;Oktie Hassanzadeh;Christian Fritz;Shirin Sohrabi;Renée J. Miller

  • Affiliations:

  • Department of EECS, University of California, Berkeley, California, USA. E-mail: rxin@cs.berkeley.edu;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: cfritz@parc.com;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;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

  • Venue:
  • Semantic Web - Linked Data for science and education
  • Year:
  • 2013

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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.