Exploiting Ontological Relations for Automatic Semantic Tag Recommendation

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Full reference

P. Alexopoulos, J. Pavlopoulos, M. Wallace, K. Kafentzis, Exploiting Ontological Relations for Automatic Semantic Tag Recommendation, 7th International Conference on Semantic Systems (I-SEMANTICS), Graz, Austria, September 7-9, 2011

Abstract

In this paper we propose a novel method for automatically generating and recommending semantic tags for text documents, namely terms that re°ect the intended meaning of the document in an accurate and complete way. Our approach is based on the utilization of existing domain knowledge, in the form of ontologies, and particularly in the se- lection and exploitation of those ontological relations that are most appropriate for the given tagging scenario and domain. Experimental evaluation of the method with significant number of documents and high volume of ontological knowledge shows a high level of accuracy as far as tag identification is concerned.

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3 known citations

1. V. Subramaniyaswamy, V. Vijayakumar, and V. Indragandhi, A Review of Ontology-Based Tag Recommendation Approaches, International Journal of Intelligent Systems, vol 28, pp. 1054-1071, 2013
2. T. Wang, H. Wang, G. Yin, C.X. Ling, X. Li, X. and P. Zou, Tag recommendation for open source software, Frontiers of computer science, pp. 69-82, 2014
3. A. Yushtina, Ontology-based data extraction in the scholarship-related content, graduate thesis, Gjovik University College 2013