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Exploiting Wikipedia for Evaluating Semantic Relatedness Mechanisms

  • Conference paper
Bridging Between Cultural Heritage Institutions (IRCDL 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 385))

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Abstract

The semantic relatedness between two concepts is a measure that quantifies the extent to which two concepts are semantically related. In the area of digital libraries, several mechanisms based on semantic relatedness methods have been proposed. Visualization interfaces, information extraction mechanisms, and classification approaches are just some examples of mechanisms where semantic relatedness methods can play a significant role and were successfully integrated. Due to the growing interest of researchers in areas like Digital Libraries, Semantic Web, Information Retrieval, and NLP, various approaches have been proposed for automatically computing the semantic relatedness. However, despite the growing number of proposed approaches, there are still significant criticalities in evaluating the results returned by different methods. The limitations evaluation mechanisms prevent an effective evaluation and several works in the literature emphasize that the exploited approaches are rather inconsistent. In order to overcome this limitation, we propose a new evaluation methodology where people provide feedback about the semantic relatedness between concepts explicitly defined in digital encyclopedias. In this paper, we specifically exploit Wikipedia for generating a reliable dataset.

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Authors and Affiliations

  1. Artificial Intelligence Lab, Department of Mathematics and Computer Science, University of Udine, Italy

    Felice Ferrara & Carlo Tasso

Authors
  1. Felice Ferrara
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  2. Carlo Tasso
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Editor information

Editors and Affiliations

  1. Department of Computer, Control and Management Engineering, Sapienza Università di Roma, Via Ariosto 25, 00185, Rome, Italy

    Tiziana Catarci

  2. Department of Information Engineering, University of Padua, Via Gradenigo 6/a, 35131, Padua, Italy

    Nicola Ferro

  3. Dipartimento di Informatica e Sistemistica, Università di Roma “La Sapienza”, Via Salaria 113, 00198, Roma, Italy

    Antonella Poggi

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Ferrara, F., Tasso, C. (2014). Exploiting Wikipedia for Evaluating Semantic Relatedness Mechanisms. In: Catarci, T., Ferro, N., Poggi, A. (eds) Bridging Between Cultural Heritage Institutions. IRCDL 2013. Communications in Computer and Information Science, vol 385. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54347-0_12

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  • DOI: https://doi.org/10.1007/978-3-642-54347-0_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54346-3

  • Online ISBN: 978-3-642-54347-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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