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Ontology-based data mining in digital libraries

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2009
Authors
Kovačević, Ana
Conference object (Published version)
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Abstract
The paper proposes matching short forms (abbreviated titles from the citation report) with their corresponding longer ones (journal titles in the digital library). The main problem is that there are often a number of syntactically different abbreviated forms for one abbreviated title in the citation report. We use character- and token-based similarity metrics to identify duplicate records. Also, we improve the process of identifying syntactically different data with the automated discovery of ontological knowledge representations such as thesauri from correctly matched data.
Keywords:
ontologies / data mining / digital libraries
Source:
Web 2.0 & Semantic Web, 2009, 163-175
Publisher:
  • Boston : Springer
Note:
  • Annals of Information Systems, vol. 6

DOI: 10.1007/978-1-4419-1219-0_7

ISBN: 978-1-4419-1218-3

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URI
http://rhinosec.fb.bg.ac.rs/handle/123456789/58
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