Learning a taxonomy from a set of text documents

Applied Soft Computing Journal

Volumn 12, Issue 3, 2012, Pages 1138-1148

  Paukkeri, Mari Sanna ^a   García Plaza, Alberto Pérez ^b   Fresno, Víctor ^b   Unanue, Raquel Martínez ^b   Honkela, Timo ^a  

^a AALTO UNIVERSITY   (Finland)

^b UNIVERSIDAD NACIONAL DE EDUCACIÓN A DISTANCIA   (Spain)

Author keywords

Document clustering; Fuzzy logic; Keyphrase extraction; Knowledge representation; Multilinguality; Self Organizing Map; Taxonomy learning

Indexed keywords

CONCEPT DEFINITIONS; DOCUMENT CLUSTERING; FEATURE WEIGHTING; FINNISH; FUZZY LOGIC SYSTEM; HIERARCHICAL APPROACH; KEYPHRASE EXTRACTION; LANGUAGE INDEPENDENCE; MULTILINGUALITY; RULE BASED; SELF ORGANIZING; TEXT DOCUMENT; TF-IDF WEIGHTING;

CONFORMAL MAPPING; FEATURE EXTRACTION; KNOWLEDGE REPRESENTATION; TAXONOMIES;

FUZZY LOGIC;

EID: 84855994519     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2011.11.009     Document Type: Article

References (53)

1. Yuret D., and Yatbaz M.A. The noisy channel model for unsupervised word sense disambiguation Computational Linguistics 36 1 2010 111 127
2. Ruotsalo T., Aroyo L., and Schreiber G. Knowledge-based linguistic annotation of digital cultural heritage collections IEEE Intelligent Systems 24 2 2009 64 75
3. Duran N., Bellissens C., Taylor R., and McNamara D. Quantifying text difficulty with automated indices of cohesion and semantics Proceedings of the 29th Annual Meeting of the Cognitive Science Society 2007 233 238
4. Steinberger R., Fuart F., van der Goot E., Best C., von Etter P., and Yangarber R. Text mining from the Web for medical intelligence Fogelman-Souli'e F. Perrotta D. Piskorski J. Steinberger R. Mining Massive Data Sets for Security 2008 IOS Press The Netherlands 295 310
5. W.Y. Wong, Learning Lightweight Ontologies from Text across Different Domains using the Web as Background Knowledge, Ph.D. Thesis, The University of Western Australia, 2009.
6. Simperl E.P.B., Tempich C., and Sure Y. A cost estimation model for ontology engineering International Semantic Web Conference 2006 625 639 (Pubitemid 44892061)
7. Fernández-López M., and Gómez-Pérez A. Overview and analysis of methodologies for building ontologies Knowledge Engineering Review 17 2002 129 156
8. Honkela T., Könönen V., Lindh-Knuutila T., and Paukkeri M. Simulating processes of concept formation and communication Journal of Economic Methodology 15 3 2008 245 259
9. Gärdenfors P. How to make the semantic web more semantic Varzi A.C. Vieu L. Formal Ontology in Information Systems: Proceedings of the Third International Conference (FOIS-2004), Vol. 114 of Frontiers in Artificial Intelligence and Applications 2004 IOS Press 17 34
10. Amsler R.A. A taxonomy for English nouns and verbs Proceedings of the 19th Annual Meeting on Association for Computational Linguistics Stanford, CA 1981 133 138
11. Hearst M.A. Automatic acquisition of hyponyms from large text corpora Proceedings of the 14th International Conference on Computational Linguistics 1992 539 545
12. C. Brewster, Y. Wilks, Ontologies, taxonomies, thesauri: learning from texts, In: Proceedings of the The Use of Computational Linguistics in the Extraction of Keyword Information from Digital Library Content, 2004.
13. Buitelaar P. Semantic lexicons: between terminology and ontology Workshop on Ontologies and Lexical Knowledge Bases 2000 MIT Press Sozopol, Bulgaria 16 24
14. Caraballo S.A. Automatic construction of a hypernym-labeled noun hierarchy from text Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics on Computational Linguistics 1999 Association for Computational Linguistics 120 126
15. Pennacchiotti M., and Pantel P. A bootstrapping algorithm for automatically harvesting semantic relations Proceedings of Inference in Computational Semantics (ICoS-06) 2006 87 96
16. Fallucchi F., and Zanzotto F.M. Inductive probabilistic taxonomy learning using singular value decomposition Natural Language Engineering 17 1 2011 71 94
17. Specia L., and Motta E. A hybrid approach for extracting semantic relations from texts Proceedings of 2nd Workshop on Ontology Learning and Population Sydney 2006 57 64
18. Ciaramita M., Gangemi A., Ratsch E., Saric J., and Rojas I. Unsupervised learning of semantic relations between concepts of a molecular biology ontology Proceedings of the 19th International Joint Conference on Artificial Intelligence 2005 659 664
19. Harris Z. Distributional structure Word 10 1954 146 162
20. Salton G., Wong A., and Yang C.S. A vector space model for automatic indexing Communications of the ACM 18 11 1975 613 620
21. Faure D., and Nédellec C. A corpus-based conceptual clustering method for verb frames and ontology acquisition LREC workshop on Adapting Lexical and Corpus Resources to Sublanguages and Applications Granada, Spain 1998 5 12
22. Cimiano P., Hotho A., and Staab S. Learning concept hierarchies from text corpora using formal concept analysis Journal of Artificial Intelligence research 24 2005 305 339 (Pubitemid 43130939)
23. Grefenstette G. Explorations in Automatic Thesaurus Construction 1994 Kluwer
24. Maedche A., Pekar V., and Staab S. Ontology learning part one - on discovering taxonomic relations from the Web Proceedings of the Web Intelligence Conference 2002 301 322
25. Cimiano P., and Staab S. Learning concept hierarchies from text with a guided hierarchical clustering algorithm Proceedings of Workshop on Learning and Extending Lexical Ontologies by using Machine Learning Methods at ICML 2005 2005 10 pages
26. Snow R., Jurafsky D., and Ng A.Y. Semantic taxonomy induction from heterogenous evidence Proceedings of the 21st International Conference on Computational Linguistics and the 44th Annual Meeting of the ACL 2006 Association for Computational Linguistics 801 808
27. Sanderson M., and Croft B. Deriving concept hierarchies from text Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information a Retrieval 1999 206 213
28. Sánchez D., and Moreno A. Web-scale taxonomy learning Proceedings of Workshop on Extending and Learning Lexical Ontologies using Machine Learning, ICML05 Bonn, Germany 2005 53 60
29. Kozareva Z., Hovy E., and Riloff E. Learning and evaluating the content and structure of a term taxonomy Proceedings of AAAI 2009 Spring Symposium "Learning by Reading and Learning to Read" 2009 Association for the Advancement of Artificial Intelligence (AAAI) Stanford, USA 50 57
30. Velardi P., Cucchiarelli A., and Pétit M. A taxonomy learning method and its application to characterize a scientific web community IEEE Transactions on Knowledge and Data Engineering 19 2007 180 191 (Pubitemid 46104022)
31. Benz D., and Hotho A. Position paper: ontology learning from folksonomies Hinneburg A. LWA 2007: Lernen - Wissen - Adaption, Workshop Proceedings 2007 Martin-Luther-University Halle-Wittenberg 109 112
32. Ponzetto S., and Strübe M. Deriving a large scale taxonomy from Wikipedia Proceedings of the 22nd AAAI Conference on Artificial Intelligence Vancouver, Canada 2007 1440 1445 (Pubitemid 350149769)
33. Paukkeri M., García-Plaza A.P., Pessala S., and Honkela T. Learning taxonomic relations from a set of text documents Proceedings of the International Multiconference on Computer Science and Information Technology (IMCSIT 2010) 2010 IEEE Wisla, Poland 105 112
34. Gabrilovich E., and Markovitch S. Computing semantic relatedness using Wikipedia-based explicit semantic analysis Proceedings of the 20th International Joint Conference on Artificial Intelligence Hyderabad, India 2007 1606 1611
35. Paukkeri M., Nieminen I.T., Pöllä M., and Honkela T. A language-independent approach to keyphrase extraction and evaluation Coling 2008: Companion Volume: Posters 2008 Coling 2008 Organizing Committee Manchester, UK 83 86
36. Ribeiro A., Fresno V., Garcia-Alegre M.C., and Guinea D. A fuzzy system for the web page representation Szczepaniak P.S. Segovia J. Kacprzyk J. Zadeh L.A. Intelligent Exploration of the Web 2003 Physica-Verlag GmbH Heidelberg, Germany 19 37
37. Kosko B. Global stability of generalized additive fuzzy systems IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews 28 3 1998 441 452 (Pubitemid 128748642)
38. García-Plaza A., Fresno V., and Martínez R. Web page clustering using a fuzzy logic based representation and self-organizing maps Web Intelligence 2008 851 854
39. V. Fresno, Representacion autocontenida de documentos HTML: una propuesta basada en combinaciones heuristicas de criterios, Ph.D. Thesis, DITTE, URJC, 2006.
40. Bakus J., Hussin M., and Kamel M. A som-based document clustering using phrases Proceedings of ICONIP'02 2002 2212 2216
41. Hung C., and Wermter S. Neural network based document clustering using WordNet ontologies International Journal of Hybrid Intelligent Systems 1 2004 127 142
42. Liu Y., Wang X., and Wu C. Consom: a conceptional self-organizing map model for text clustering Neurocomputing 71 2008 857 862 (Pubitemid 351168428)
43. Kohonen T. Self-Organizing Maps 2001 Springer
44. Koikkalainen P., and Oja E. Self-organizing hierarchical feature maps Proceedings of IJCNN'90, International Joint Conference on Neural Networks, vol. 2 1990 279 285
45. Dittenbach M., Merkl D., and Rauber A. The growing hierarchical self-organizing map Proceedings of IJCNN 2000, the International Joint Conference on Neural Networks, vol. 6 2000 15 19
46. Brank J., Grobelnik M., and Mladenic D. A survey of ontology evaluation techniques Proceedings of the Conference on Data Mining and Data Warehouses (SiKDD 2005) 2005 166 170
47. Dellschaft K., and Staab S. On how to perform a gold standard based evaluation of ontology learning Lecture Notes in Computer Science 4273 2006 228 241 (Pubitemid 44892033)
48. Wilks Y., and Brewster C. Natural language processing as a foundation of the semantic web Foundations and Trends in Web Science 1 3-4 2006 199 327
49. Brewster C., Iria J., Zhang Z., Ciravegna F., Guthrie L., and Wilks Y. Dynamic iterative ontology learning Recent Advances in Natural Language Processing (RANLP 07) 2007
50. Koehn P. Europarl: a parallel corpus for statistical machine translation Proceedings of MT Summit 2005 2005 79 86
51. Creutz M., and Lagus K. Unsupervised models for morpheme segmentation and morphology learning ACM Transactions on Speech and Language Processing 4 1 2007 3:1 3:34
52. Kim K.J., and Cho S.B. Personalized mining of web documents using link structures and fuzzy concept networks Applied Soft Computing 7 2007 398 410
53. Honkela T. Philosophical aspects of neural, probabilistic and fuzzy modeling of language use and translation Proceedings of IJCNN, International Joint Conference on Neural Networks 2007 2881 2886.