Omiotis: A Thesaurus-Based Measure of Text Relatedness

Authors:
George Tsatsaronis;Iraklis Varlamis;Michalis Vazirgiannis;Kjetil Nørvåg
Affiliations:
Department of Computer and Information Science, Norwegian University of Science and Technology,;Department of Informatics and Telematics, Harokopio University,;Department of Informatics, Athens University of Economics and Business,;Department of Computer and Information Science, Norwegian University of Science and Technology,
Venue:
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Year:
2009

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Abstract

In this paper we present a new approach for measuring the relatedness between text segments, based on implicit semantic links between their words, as offered by a word thesaurus, namely WordNet. The approach does not require any type of training, since it exploits only WordNet to devise the implicit semantic links between text words. The paper presents a prototype on-line demo of the measure, that can provide word-to-word relatedness values, even for words of different part of speech. In addition the demo allows for the computation of relatedness between text segments.