Hybrid Method for Computing Word-Pair Similarity based on Web Content

  • Authors:
  • Imen Akermi;Rim Faiz

  • Affiliations:
  • University of Tunis, Bardo, Tunisia;University of Carthage, Carthage Présidence, Tunisia

  • Venue:
  • Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

With the development of the Web, there is a great amount of information available on Web pages, which opens new perspectives for sharing information, allowing the collaborative construction of content. We took advantage of this shared information in our work in order to measure the similarity between words. Our measure uses on one hand, an online English dictionary provided by the Semantic Atlas project of the French National Centre for Scientific Research (CNRS) and on the other hand, a page counts based metric returned by a social website.