A new semantic relatedness measurement using WordNet features

Knowledge and Information Systems

Volumn 41, Issue 2, 2014, Pages 467-497

  Hadj Taieb, Mohamed Ali ^a   Ben Aouicha, Mohamed ^a   Ben Hamadou, Abdelmajid ^a  

^a Faculty of Economics and Management of Sfax   (Tunisia)

Author keywords

Gloss; Information content; Semantic relatedness; Semantic similarity; WordNet

Indexed keywords

INFORMATION THEORY; INTEGRATED CIRCUITS; NATURAL LANGUAGE PROCESSING SYSTEMS; ONTOLOGY; TAXONOMIES;

GLOSS; INFORMATION CONTENTS; SEMANTIC RELATEDNESS; SEMANTIC SIMILARITY; WORDNET;

SEMANTICS;

EID: 84919487080     PISSN: 02191377     EISSN: 02193116     Source Type: Journal    
DOI: 10.1007/s10115-013-0672-4     Document Type: Article

References (72)

1. Agirre E, Alfonseca E, Hall K, Kravalova J, Pasca M, Soroa A (2009) A study on similarity and relatedness using distributional and WordNet-based approaches. In: Proceedings of human language technologies: the 2009 annual conference of the North American chapter of the Association for Computational Linguistics (Stroudsburg, PA, USA, 2009), NAACL ’09. Association for, Computational Linguistics, pp 19–27
2. Atkinson J, Ferreira A, Aravena E (2009) Discovering implicit intention-level knowledge from natural-language texts. Knowl Based Syst 22(7):502–508
3. Ballatore A, Bertolotto M, Wilson D (2012) Geographic knowledge extraction and semantic similarity in OpenStreetMap. Knowl Inf Syst. doi:10.1007/s10115-012-0571-0
4. Banerjee S, Pedersen T (2003) Extended gloss overlaps as a measure of semantic relatedness. In: Proceedings of the eighteenth international joint conference on, artificial intelligence, pp 805–810
5. Batet M, Sánchez D, Valls A (2011) An ontology-based measure to compute semantic similarity in biomedicine. J Biomed Inform 44(1):118–125
6. Batista DS, Silva MJ, Couto FM, Behera B (2010) Geographic signatures for semantic retrieval. In: Proceedings of the 6th workshop on geographic information retrieval (New York, NY, USA), GIR’10, ACM, pp 19:1–19:8
7. Baziz M, Boughanem M, Aussenac-Gilles N (2005) Evaluating a conceptual indexing method by utilizing WordNet. In: Accessing multilingual information repositories, 6th workshop of the cross-language evaluation forum, CLEF 2005, Vienna, Austria, 21–23 September, 2005. [Revised Selected Papers, C. Peters, F. C. Gey, J. Gonzalo, H. Müller, G. J. F. Jones, M. Kluck, B. Magnini, and M. de Rijke, Eds., vol. 4022 of Lecture Notes in Computer Science. Springer, pp 238–246]
8. Blanco-Fernández Y, Pazos-Arias JJ, Gil-Solla A, Ramos-Cabrer M, López-Nores M, García-Duque J, Fernández-Vilas A, Díaz-Redondo RP, Bermejo-Muñoz J (2008) A flexible semantic inference methodology to reason about user preferences in knowledge-based recommender systems. Know Based Syst 21(4):305–320
9. Bollegala D, Matsuo Y, Ishizuka M (2007) Measuring semantic similarity between words using web search engines. In: WWW ‘07: proceedings of the 16th international conference on World Wide Web (New York, NY, USA). ACM, pp 757–766
10. Budanitsky A, Budanitsky A (1999) Lexical semantic relatedness and its application in natural language processing. Tech. Rep
11. Budanitsky A, Hirst G (2006) Evaluating WordNet-based measures of lexical semantic relatedness. Comput Linguist 32(1):13–47
12. Bulskov H, Andreasen T (2002) On measuring similarity for conceptual querying. In: Proceedings of the 5th international conference on flexible query answering systems. Springer, Berlin, pp 100–111
13. Chen H-H, Lin M-S, Wei Y-C (2006) Novel association measures using web search with double checking. In: Proceedings of the 21st international conference on computational linguistics and the 44th annual meeting of the Association for Computational Linguistics (Stroudsburg, PA, USA), ACL-44, Association for, Computational Linguistics, pp 1009–1016
14. Couto FM, Silva MJ, Coutinho PM (2007) Measuring semantic similarity between gene ontology terms. Data Knowl Eng 61(1):137–152
15. Cross V, Chennai-Thiagarajan A (2012) Measuring information content for an ontological concept. In: Fuzzy Information Processing Society (NAFIPS)
16. Curran JR (2002) Ensemble methods for automatic thesaurus extraction. In: Proceedings of the conference on empirical methods in natural language processing, pp 222–229
17. Debenham J, Sierra C (2008) Merging intelligent agency and the semantic web. Knowl Based Syst 21(3):184–191
18. Fellbaum C (ed) (1998) WordNet: an electronic lexical database (language, speech, and communication), illustrated edition. MIT Press, Cambridge
19. Ferreira JD, Couto FM (2010) Semantic similarity for automatic classification of chemical compounds. PLoS Comput Biol 6:9
20. Ferreira JD, Couto FM (2011) Generic semantic relatedness measure for biomedical ontologies. In: Bodenreider O, Martone ME, Ruttenberg A (eds) ICBO, vol 833 of CEUR workshop proceedings, CEUR-WS.org
21. Finkelstein L, Evgenly G, Yossi M, Ehud R, Zach S, Gadi W, Eytan R (2001) Placing search in context: the concept revisited. In: Proceedings of the tenth international World Wide Web conference
22. Formica A (2008) Concept similarity in formal concept analysis: an information content approach. Knowl Based Syst 21(1):80–87
23. Francis NW, Kučera H (1982) Frequency analysis of English usage: lexicon and grammar, vol 18. Houghton Mifflin, Boston
24. Gaeta M, Orciuoli F, Ritrovato P (2009) Advanced ontology management system for personalised e-learning. Knowl Based Syst 22(4):292–301
25. Gracia J, Mena E (2008) Web-based measure of semantic relatedness. In: Proceedings of 9th international conference on Web information systems engineering (WISE 2008), Auckland (New Zealand). Springer, Berlin, pp 136–150
26. Harris Z (1954) Distributional structure. Word 10(23):146–162
27. Hirst G, St-Onge D (1998) Lexical chains as representations of context for the detection and correction of malapropisms. MIT Press, Cambridge, pp 305-322
28. Hliaoutakis A, Varelas G, Voutsakis E, Petrakis EGM, Milios E (2006) Information retrieval by semantic similarity. In: International journal on semantic Web and information systems (IJSWIS), vol 3(3), pp 55–73, July/Sept. [Special issue of multimedia semantics]
29. Janowicz K, Keler C, Schwarz M, Wilkes M, Panov I, Espeter M, Bumer B (2007) Algorithm, implementation and application of the sim-dl similarity server. In: Second international conference on geospatial semantics (GEOS 2007). Number 4853 in lecture notes in computer science. Springer, Berlin, pp 128–145
30. Jiang JJ, Conrath DW (1997) Semantic similarity based on corpus statistics and lexical taxonomy. In: Proceedings of international conference research on computational linguistics, Taiwan
31. Köhler S, Schulz MH, Krawitz P, Bauer S, Dölken S, Ott CE, Mundlos C, Horn D, Mundlos S, Robinson PN (2009) Clinical diagnostics in human genetics with semantic similarity searches in ontologies. Am J Human Genet 85(4):457–464
32. Leacock C, Chodorow M (1998) Combining Local context and WordNet similarity for word sense identification, chap 11. MIT Press, Cambridge, pp 265–283
33. Lee JH, Kim MH, Lee YJ (1993) Information retrieval based on conceptual distance in is-a hierarchies. J Documentation 49(2):188–207
34. Lesk M (1986) Automatic sense disambiguation using machine readable dictionaries: how to tell a pine cone from an ice cream cone. In: Proceedings of the 5th annual international conference on Systems documentation (New York, NY, USA), SIGDOC ’86, ACM, pp 24–26
35. Li Y, Bandar ZA, McLean D (2003) An approach for measuring semantic similarity between words using multiple information sources. IEEE Trans Knowl Data Eng 15(4):871–882
36. Lin D (1998) An information-theoretic definition of similarity. In: Proceedings of the 15th international conference on machine learning. Morgan Kaufmann, San Francisco, pp 296–304
37. Lopez-Pellicer FJ, Silva MJ, Chaves M (2010) Linkable geographic ontologies. In: Proceedings of the 6th workshop on geographic information retrieval (New York, NY, USA), GIR ’10. ACM, pp 1:1–1:8
38. Meng L, Gu J, Zhou Z (Sept. 2012) A new model of information content based on concept’s topology for measuring semantic similarity in WordNet. Int J Grid Distrib Comput 5:3
39. Miller GA, Charles WG (1991) Contextual correlates of semantic similarity. Lang Cogn Process 6(1):1–28
40. Nayak R, Iryadi W (2007) Xml schema clustering with semantic and hierarchical similarity measures. Knowl Based Syst 20(4):336–349
41. Pakhomov S, McInnes B, Adam T, Liu Y, Pedersen T, Melton GB (2010) Semantic similarity and relatedness between clinical terms: an experimental study. In: Proceedings AMIA annual symposium pp. 572–577
42. Patwardhan S, Pedersen T (2006) Using WordNet-based context vectors to estimate the semantic relatedness of concepts. In: EACL 2006 workshop making sense of sense-bringing computational linguistics and psycholinguistics together (Trento, Italy), pp 1–8
43. Pedersen T, Pakhomov SVS, Patwardhan S, Chute CG (2007) Measures of semantic similarity and relatedness in the biomedical domain. J Biomed Inform 40(3):288–299
44. Pedersen T, Patwardhan S, Michelizzi J (2004) WordNet::Similarity: measuring the relatedness of concepts. In: Demonstration papers at HLT-NAACL 2004 (Stroudsburg, PA, USA), HLT-NAACL-Demonstrations ’04. Association for Computational Linguistics, pp 38–41
45. Pesquita C, Faria D, Falcão AO, Lord P, Couto FM (2009) Semantic similarity in biomedical ontologies. PLoS Comput Biol 5:7
46. Petrakis EGM, Varelas G, Hliaoutakis A, Raftopoulou P (2006) X-similarity: computing semantic similarity between concepts from different ontologies. J Digit Inf Manag (JDIM) 4(4):233–238
47. Pirró G (2009) A semantic similarity metric combining features and intrinsic information content. Data Knowl Eng 68(11):1289–1308
48. Rada R, Mili H, Bicknell E, Blettner M (1989) Development and application of a metric on semantic nets. IEEE Trans Syst Man Cybern 19(1):17–30
49. Radinsky K, Agichtein E, Gabrilovich E, Markovitch S (2011) A word at a time: computing word relatedness using temporal semantic analysis. In: Proceedings of the 20th international conference on World Wide Web (New York, NY, USA), WWW ’11, ACM, pp 337–346
50. Resnik P (1995) Using information content to evaluate semantic similarity in a taxonomy. In: Proceedings of the 14th international joint conference on Artificial intelligence—volume 1 (San Francisco, CA, USA), IJCAI’95. Morgan Kaufmann, pp 448–453
51. Resnik P (1999) Semantic similarity in a taxonomy: an information-based measure and its application to problems of ambiguity in natural language J Artif Intell Res 11:95–130
52. Richardson R, Smeaton AF, Murphy J (1994) Using WordNet as a knowledge base for measuring semantic similarity between words. In: Proceedings of AICS conference, Tech. Rep
53. Rodríguez MA, Egenhofer MJ (2003) Determining semantic similarity among entity classes from different ontologies. IEEE Trans Knowl Data Eng 15(2):442–456
54. Rubenstein H, Goodenough JB (1965) Contextual correlates of synonymy. Commun ACM 8(10):627–633
55. Sahami M, Heilman TD (2006) A web-based kernel function for measuring the similarity of short text snippets. In: Proceedings of the 15th international conference on World Wide Web (New York, NY, USA), WWW ’06. ACM, pp 377–386
56. Sánchez D (2010) A methodology to learn ontological attributes from the web. Data Knowl Eng 69(6):573–597
57. Sánchez D, Batet M, Isern D (2011) Ontology-based information content computation. Knowl Based Syst 24(2):297–303
58. Sánchez D, Isern D, Millan M (2011) Content annotation for the semantic web: an automatic web-based approach. Knowl Inf Syst 27(3):393–418
59. Sánchez D, Moreno A (2008) Learning non-taxonomic relationships from web documents for domain ontology construction. Data Knowl Eng 64(3):600–623
60. Sebti A, Barfroush AA (2008) A new word sense similarity measure in WordNet. In: IEEE IMCSIT 2008, pp 369–373
61. Seco N, Veale T, Hayes J (2004) An intrinsic information content metric for semantic similarity in WordNet. In: Proceedings of the 16th European conference on artificial intelligence, pp 1089–1090
62. Shannon CE (1948) A mathematical theory of communication. Bell Syst Tech J 27:379–423
63. Snow R, O’Connor B, Jurafsky D, Ng AY (2008) Cheap and fast- but is it good? Evaluating non-expert annotations for natural language tasks. In: Proceedings of the conference on empirical methods in natural language processing (Stroudsburg, PA, USA), EMNLP ’08, Association for Computational Linguistics, pp 254–263
64. Spearman C (1987) The proof and measurement of association between two things. By C. Spearman, 1904. Am J Psychol 100(3–4):441–471
65. Stevenson M, Greenwood MA (2005) A semantic approach to IE pattern induction. In: Proceedings of the 43rd annual meeting on Association for Computational Linguistics (Stroudsburg, PA, USA), ACL’05, Association for Computational Linguistics, pp 379–386
66. Sussna M (1993) Word sense disambiguation for free-text indexing using a massive semantic network. In: Proceedings of the second international conference on information and knowledge management (New York, NY, USA), CIKM ’93. ACM, pp 67–74
67. Tapeh AG, Rahgozar M (2008) A knowledge-based question answering system for b2c ecommerce. Knowl Based Syst 21(8):946–950
68. Tversky A (1977) Features of similarity. Psychol Rev 84:327–352
69. Wu Z, Palmer M (1994) Verbs semantics and lexical selection. In: Proceedings of the 32nd annual meeting on Association for Computational Linguistics (Stroudsburg, PA, USA), ACL ’94, Association for Computational Linguistics, pp 133–138
70. Yang D, Powers DMW (2005) Measuring semantic similarity in the taxonomy of WordNet. In: Proceedings of the twenty-eighth Australasian conference on computer science—volume 38 (Darlinghurst, Australia, Australia), ACSC ’05. Australian Computer Society, Inc., pp 315–322
71. Zargayouna H (2004) Contexte et sémantique pour une indexation de documents semi-structurés. In: CORIA, pp 161–178
72. Zhou Z, Wang Y, Gu J (2008) A new model of information content for semantic similarity in WordNet. In: Proceedings of the 2008 second international conference on future generation communication and networking symposia—volume 03 (Washington, DC, USA), FGCNS ’08. IEEE Computer Society, pp 85–89