The Community for Technology Leaders
RSS Icon
Issue No.06 - June (2011 vol.23)
pp: 845-858
Myunggwon Hwang , Chosun University, Gwangju
Chang Choi , Chosun University, Gwangju
Pankoo Kim , Chosun University, Gwangju
The most fundamental step in semantic information processing (SIP) is to construct knowledge base (KB) at the human level; that is to the general understanding and conception of human knowledge. WordNet has been built to be the most systematic and as close to the human level and is being applied actively in various works. In one of our previous research, we found that a semantic gap exists between concept pairs of WordNet and those of real world. This paper contains a study on the enrichment method to build a KB. We describe the methods and the results for the automatic enrichment of the semantic relation network. A rule based method using WordNet's glossaries and an inference method using axioms for WordNet relations are applied for the enrichment and an enriched WordNet (E-WordNet) is built as the result. Our experimental results substantiate the usefulness of E-WordNet. An evaluation by comparison with the human level is attempted. Moreover, WSD-SemNet, a new word sense disambiguation (WSD) method in which E-WordNet is applied, is proposed and evaluated by comparing it with the state-of-the-art algorithm.
Knowledge management applications, knowledge base management, text analysis, knowledge acquisition, dictionaries, semantic networks.
Myunggwon Hwang, Chang Choi, Pankoo Kim, "Automatic Enrichment of Semantic Relation Network and Its Application to Word Sense Disambiguation", IEEE Transactions on Knowledge & Data Engineering, vol.23, no. 6, pp. 845-858, June 2011, doi:10.1109/TKDE.2010.163
[1] R. Hemayati, W. Meng, and C. Yu, "Semantic-Based Grouping of Search Engine Results Using WordNet," Advances in Data and Web Management, pp. 678-686, 2007, doi: 10.1007/11925231.
[2] C. Fellbaum, WordNet: An Electronic Lexical Database. MIT Press, 1998.
[3] H.J. Kong, M.G. Hwang, G.S. Hwang, J.H. Shim, and P.K. Kim, "Topic Selection of Web Documents Using Specific Domain Ontology," Proc. Advances in Artificial Intelligence (MICAI '06), pp. 1047-1056, 2006, doi: 10.1007/11925231.
[4] S. Liu, F. Liu, C. Yu, and W. Meng, "An Effective Approach to Document Retrieval via Utilizing WordNet and Recognizing Phrases," Proc. Conf. Special Interest Group on Information Retrieval (SIGIR '04), pp. 266-272, 2004, doi:10.1145/1008992.1009039.
[5] P. Velardi, A. Cucchiarelli, and M. Petit, "A Taxonomy Learning Method and Its Application to Characterize a Scientific Web Community," IEEE Trans. Knowledge and Data Eng., vol. 19, no. 2, pp. 180-191, Feb. 2007, doi:10.1109/TKDE.2007.21.
[6] M. Missikoff, P. Velardi, and P. Fabriani, "Text Mining Techniques to Automatically Enrich a Domain Ontology," Applied Intelligence, vol. 18, no. 3, pp. 323-340, 2003, doi:10.1023/A:1023254205945.
[7] R. Navigli and P. Velardi, "Structural Semantic Interconnections: A Knowledge-Based Approach to Word Sense Disambiguation," IEEE Trans. Pattern Analysis and Machine Intelligence, special issue on syntactic and structural pattern recognition, vol. 27, no. 7, pp. 1075-1086, July 2005, doi:10.1109/TPAMI.2005.149.
[8] K. Toutanova and C. Manning, "Enriching the Knowledge Sources Used in a Maximum Entropy Part-of-Speech Tagger," Proc. Joint SIGDAT Conf. Empirical Methods in Natural Language Processing and Very Large Corpora (EMNLP/VLC '00), pp. 63-70, 2000, doi:10.3115/1117794.1117802.
[9] K. Toutanova, D. Klein, C. Manning, and Y. Singer, "Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network," Proc. Conf. North Am. Chapter of the Assoc. for Computational Linguistics on Human Language Technology, pp. 173-180, 2003, doi:10.3115/1073445.1073478.
[10] R. Navigli and P. Velardi, "Learning Domain Ontologies from Document Warehouses and Dedicated Web Sites," Computational Linguistics, vol. 30, no. 2, pp. 151-179, 2004, doi:10.1162/089120104323093276.
[11] K.S. Fu, Syntactic Pattern Recognition and Applications. Prentice Hall, 1982.
[12] H. Bunke and A. Sanfeliu, Syntactic and Structural Pattern Recognition: Theory and Applications. World Scientific, 1990.
[13] M.G. Hwang, C. Choi, B. Youn, and P.K. Kim, "Word Sense Disambiguation Based on Relation Structure," Proc. Seventh Int'l Conf. Advanced Language Processing and Web Information Technology (ALPIT '08), pp. 15-20, 2008, doi: 10.1109/ALPIT.2008.52.
[14] M.G. Hwang and P.K. Kim, "Adapted Relation Structure Algorithm for Word Sense Disambiguation," Proc. Third Int'l Conf. Digital Information Management (ICDIM '08), pp. 684-688, 2008, doi:10.1109/ICDIM.2008.4746825.
[15] B. Magnini and G. Cavaglià, "Integrating Subject Field Codes into WordNet," Proc. Second Int'l Conf. Language Resources and Evaluation (LREC '00), 2000, doi:
[16] G.A. Miller, M. Chodorow, S. Landes, C. Leacock, and R.G. Thomas, "Using a Semantic Concordance for Sense Identification," Proc. ARPA Human Language Technology Workshop (HLT '94), pp. 240-243, 1994, doi: 10.3115/1075812.1075866.
[17] H.T. Ng and H.B. Lee, "Integrating Multiple Knowledge Sources to Disambiguate Word Sense: An Exemplar-Based Approach," Proc. 34th Ann. Meeting Assoc. for Computational Linguistics, 1996, doi:10.3115/981863.981869.
[18] D. Lea, Oxford Collocations. Oxford Univ. Press, 2002.
[19] K. Longman, Longman Language Activator. Pearson Education, 2003.
[20] P. Velardi, R. Navigli, and M. Petit, "Semantic Indexing of a Competence Map to Support Scientific Collaboration in a Research Community," Proc. Int'l Joint Conf. Artificial Intelligence (IJCAI '07), pp. 2897-2902, 2007.
[21] P. Velardi, R. Navigli, A. Cucchiarelli, and F. Neri, "Evaluation of OntoLearn, a Methodology for Automatic Learning of Domain Ontologies," Ontology Learning from Text: Methods, IOS Press, 2005.
[22] R. Navigli and P. Velardi, "Ontology Enrichment through Automatic Semantic Annotation of Online Glossaries," Proc. 15th Int'l Conf. Knowledge Eng. an Knowledge Management Managing Knowledge in a World of Networks (EKAW '06), pp. 126-140, 2006, doi:10.1007/11891451_14.
[23] M. Saiz-Noeda, A. Suarez, and M. Palomar, "Semantic Pattern Learning through Maximum Entropy-Based WSD Technique," Proc. Workshop Computational Natural Language Learning, 2001, doi:10.3115/1117822.1455624.
[24] I.S.P Nation Vocabulary Lists—Occasional Publication No. 17, School of Linguistics and Applied Language Studies, Victoria Univ. of Wellington, New Zealand ISSN 1173-535X, 1996.
[25] M.G. Hwang and P.K. Kim, "A New Similarity Measure for Automatic Construction of the Unknown Word Lexical Dictionary," Int'l J. Semantic Web and Information Systems, vol. 5, no. 1, pp. 48-64, 2009.
[26] A. Hliaoutakis, G. Varelas, E. Voutsakis, E. Petrakis, and E. Milios, "Information Retrieval by Semantic Similarity," Int'l J. Semantic Web and Information Systems, vol. 2, no. 3, pp. 55-73, 2006.
[27] B.-L. Tim, J. Hendler, and O. Lassila, "The Semantic Web," Scientific Am. Magazine, May 2001.
413 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool