Knowledge Discovery for Ontology Construction

Semantic Web Technologies: Trends and Research in Ontology-based Systems

Volumn , Issue , 2006, Pages 9-27

  Grobelnik, Marko ^a   Mladenić, Dunja ^a  

^a NONE

Author keywords

Active Learning and Semi supervised Learning; Domain and data understanding; Evaluation framework set up; Focused crawling; KD for ontology construction; Knowledge Discovery (KD) in Semantic Web; Ontology definition; Ontology learning scenarios; Semi automatic ontology construction methodology

Indexed keywords

EID: 84889409893     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/047003033X.ch2     Document Type: Chapter

References (49)

1. Agirre E, Ansa O, Hovy E, Martińez D. 2000 Enriching very large ontologies using the WWW. In Proceedings of the First Workshop on Ontology Learning OL-2000. The 14th European Conference on Artificial Intelligence ECAI-2000.
2. Bisson G, Ned́ellec C, Cañamero D. 2000Designing clustering methods for ontology building: The Mo'K workbench. In Proceedings of the First Workshop on Ontology Learning OL-2000. The 14th European Conference on Artificial Intelligence ECAI-2000.
3. Bloehdorn S, Haase P, Sure Y, Voelker J, Bevk M, Bontcheva K, Roberts I. 2005 Report on the integration of ML, HLT and OM. SEKT Deliverable D.6.6.1, July 2005.
4. Blum A, Chawla S. 2001 Learning from labelled and unlabelled data using graph mincuts. Proceedings of the 18th International Conference on Machine Learning, pp 19-26.
5. Buitelaar P, Cimiano P, Magnini B. 2005 Ontology learning from text: Methods, applications and evaluation. frontiers in Artificial Intelligence and Applications, IOS Press.
6. Brank J, Grobelnik M, Mladenic D. 2005 A survey of ontology evaluation techniques. Proceedings of the 8th International multi-conference Information Society IS-2005, Ljubljana: Institut ''Jožef Stefan'', 2005.
7. Chakrabarti S. 2002 Mining the Web: Analysis of Hypertext and Semi Structured Data. Morgan Kaufmann.
8. Chapman P, Clinton J, Kerber R, Khabaza T, Reinartz T, Shearer C, Wirth R. 2000 CRISP-DM 1.0: Step-by-step data mining guide.
9. Cimiano P, Pivk A, Schmidt-Thieme L, Staab S. 2004 Learning taxonomic relations from heterogeneous evidence. In Proceedings of ECAI 2004 Workshop on Ontology Learning and Population.
10. Craven M, Slattery S. 2001 Relational learning with statistical predicate invention: better models for hypertext. Machine Learning 43(1/2):97-119.
11. Cunningham H, Bontcheva K. 2005 Knowledge management and human language: crossing the chasm. Journal of Knowledge Management.
12. Deerwester, S., Dumais, S., Furnas, G., Landuer, T., Harshman, R., (2001). Indexing by Latent Semantic Analysis.
13. Duda RO, Hart PE, Stork DG 2000 Pattern Classification (2nd edn). John Wiley & Sons, Ltd.
14. Ehrig M, Haase P, Hefke M, Stojanovic N. 2005 Similarity for ontologies-A comprehensive framework. Proceedings of 13th European Conference on Information Systems, May 2005.
15. Fayyad, U., Grinstein, G. G. and Wierse, A. (eds.), (2001). Information Visualization in Data Mining and Knowledge Discovery, Morgan Kaufmann.
16. Fayyad U, Piatetski-Shapiro G, Smith P, Uthurusamy R (eds). 1996 Advances in Knowledge Discovery and Data Mining. MIT Press: Cambridge, MA, 1996.
17. Fernańdez LM. 1999 Overview of methodologies for building ontologies. In Proceedings of the IJCAI-99 workshop on Ontologies and Problem-Solving Methods (KRR5).
18. Fortuna B, Mladenic D, Grobelnik M. 2005a. Semi-automatic construction of topic ontology. Proceedings of the ECML/PKDD Workshop on Knowledge Discovery for Ontologies.
19. Fortuna B, Mladenic D, Grobelnik M. 2005b. Visualization of text document corpus. Informatica journal 29(4):497-502.
20. Ghani R, Jones R, Mladenic D. 2005 Building minority language corpora by learning to generate web search queries. Knowledge and information systems 7:56-83.
21. Grobelnik M, Mladenic D. 2002 Efficient visualization of large text corpora. Proceedings of the seventh TELRI seminar. Dubrovnik, Croatia.
22. Grobelnik M, Mladenic D. 2004 Visualization of news articles. Informatica Journal 28:(4).
23. Grobelnik M, Mladenic D. 2005 Simple classification into large topic ontology of Web documents. Journal of Computing and Information Technology-CIT 13 4:279-285.
24. Grobelnik M, Mladenic D. 2005a. Automated knowledge discovery in advanced knowledge management. Journal of Knowledge Management.
25. Hand DJ, Mannila H, Smyth P. 2001 Principles of Data Mining (Adaptive Computation and Machine Learning). MIT Press.
26. Hastie T, Tibshirani R, Friedman JH. 2001 The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer Series in Statistics. Springer Verlag.
27. Heyer G, Läuter M, Quasthoff U, Wittig T, Wolff C. 2001 Learning Relations using Collocations. In Proceedings of IJCAI-2001 Workshop on Ontology Learning.
28. Hotho A, Staab S, Stumme G. 2003 Explaining text clustering results using semantic structures. In Proceedings of ECML/PKDD 2003, LNAI 2838, Springer Verlag, pp 217-228.
29. Jackson P, Moulinier I. 2002 Natural Language Processing for Online Applications: Text Retrieval, Extraction, and Categorization. John Benjamins Publishing Co.
30. Jakulin A, Mladenic D. 2005. Ontology grounding. Proceedings of the 8th International multi-conference Information Society IS-2005, Ljubljana: Institut ''Jožef Stefan'', 2005.
31. Koller D, Sahami M. 1997 Hierarchically classifying documents using very few words. Proceedings of the 14th International Conference on Machine Learning ICML-97, Morgan Kaufmann, San Francisco, CA, pp 170-178.
32. Leskovec J, Grobelnik M, Milic-Frayling N. 2004 Learning sub-structures of document semantic graphs for document summarization. In Workshop on Link Analysis and Group Detection (LinkKDD2004). The Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.
33. Maedche A, Staab S. 2001. Discovering conceptual relations from text. In Proceedings of ECAI'2000, pp 321-325.
34. Manning CD, Schutze H. 2001 Foundations of Statistical Natural Language Processing. The MIT Press: Cambridge MA,.
35. McCallum A, Rosenfeld R, Mitchell T, Ng A. 1998 Improving text classification by shrinkage in a hierarchy of classes. Proceedings of the 15th International Conference on Machine Learning ICML-98, Morgan Kaufmann, San Francisco, CA.
36. Mitchell TM. 1997 Machine Learning. The McGraw-Hill Companies, Inc.
37. Mladenic D. 1998. Turning Yahoo into an Automatic Web-Page Classifier. Proceedings of 13th European Conference on Artificial Intelligence (ECAI'98, John Wiley & Sons, Ltd), pp 473-474.
38. Mladenic D, Brank J, Grobelnik M, Milic-Frayling N. 2002 Feature selection using linear classifier weights: Interaction with classification models, SIGIR-2002.
39. Mladenic D, Grobelnik M. 2003 Feature selection on hierarchy of web documents. Journal of Decision support systems 35:45-87.
40. Mladenic D, Grobelnik M. 2004 Mapping documents onto web page ontology. In Web Mining: From Web to Semantic Web, (Berendt B, Hotho A, Mladenic D, Someren MWV, Spiliopoulou M, Stumme G (eds). Lecture notes in artificial inteligence, Lecture notes in computer science, Vol. 3209. Springer: Berlin; Heidelberg; New York, 2004; 77-96.
41. Novak B. 2004a. Use of unlabeled data in supervised machine learning. Proceedings of the 7th International multi-conference Information Society IS-2004, Ljubljana: Institut ''Jožef Stefan'', 2004.
42. Novak B. 2004b. A survey of focused web crawling algorithms. Proceedings of the 7th International multi-conference Information Society IS-2004, Ljubljana: Institut ''Jožef Stefan'', 2004.
43. Popescul A, Ungar LH. 2000 Automatic labeling of document clusters. Department of Computer and Information Science, University of Pennsylvania, unpublished paper available from http://www.cis.upenn.edu/~popescul/ Publications/popescul00labeling.pdf
44. Reinberger M-L, Spyns P. 2004. Discovering Knowledge in Texts for the learning of DOGMA-inspired ontologies. In Proceedings of ECAI 2004 Workshop on Ontology Learning and Population.
45. Sebastiani F. 2002 Machine learning for automated text categorization. ACM Computing Surveys.
46. Steinbach M, Karypis G, Kumar V. 2000. A comparison of document clustering techniques. Proceedings of KDD Workshop on Text Mining (Grobelnik M, Mladenić D, Milic-Frayling N (eds)), Boston, MA, USA, pp 109-110.
47. Uschold M, King M. 1995 Towards a methodology for building ontologies. In Workshop on Basic Ontological Issues in Knowledge Sharing. International Joint Conference on Artificial Intelligence, 1995. Also available as AIAI-TR-183 from AIAI, the University of Edinburgh.
48. van Rijsbergen CJ. 1979 Information Retrieval. (2nd edn)Butterworths, London.
49. Witten IH, Frank E. 1999. Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. Morgan Kaufmann.