Identifying ontology components from digital archives for the semantic web

Proceedings of the Seventh IASTED International Conference on Advances in Computer Science and Technology

Volumn , Issue , 2006, Pages 7-12

  Pulido, J R G ^a   Herrera, R ^a   Arechiga M ^a   Block, A ^a   Acosta, R ^a   Legrand, S ^b  

^a UNIVERSIDAD DE COLIMA   (Mexico)

^b UNIVERSITY OF JYVÄSKYLÄ   (Finland)

Author keywords

Ontology learning; Self organizing maps; Semantic web

Indexed keywords

DATA STRUCTURES; EMBEDDED SYSTEMS; SELF ORGANIZING MAPS; SEMANTICS; SOFTWARE AGENTS; WEB BROWSERS;

DIGITAL ARCHIVES; ONTOLOGY CONSTRUCTION; ONTOLOGY LEARNING; SEMANTIC WEB;

WORLD WIDE WEB;

EID: 33847206823     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (29)

1. 2: Building ontologies for the internet: A midterm report. Int.J.Human-Computer Studies, 51(3):687-712, 1999.
2. B Berent et al. A roadmap for web mining: from web to semantic web. In B Bereut et al., editors, First European Web Mining Forum (EWMF), volume 3209 of LNCS, pages 1-22. Springer, 2004.
3. T Berners-Lee et al. The Semantic Web. Scientific American, 284(5):34-43, May 2001.
4. R Brachman. What is-a and isn't: An analysis of taxonomic links in semantic networks. IEEE Computer, 16(10):10-36, 1983.
5. L Crow and N Shadbolt. Extracting focused knowledge from the Semantic Web. Int.J.Human-Computer Studies, 54:155-184, 2001.
6. D Elliman and JRG Pulido. Visualizing ontology components through self-organizing maps. In D Williams, editor, 6th International Conference on Information Visualization (IV02), London, UK, pages 434-438. IEEE Computer Soc.Press, Los Alamitos, 2002.
7. D Elliman and JRG Pulido. Self-organizing maps for detecting ontology components. In H Arabnia et al., editors, The 2003 Int.Conf.on Artificial Intelligence (IC-AI), Las Vegas, USA, pages 650-653. CSREA Press, 2003.
8. D Fensel et al. OIL in a nutshell. In R Ding et al., editors, Proc.European Knowledge Acquisition Conf., LNAI. Springer-Verlag, Berlin, 2000.
9. S Geffner et al. Browsing large digital library collections using classification hierarchies. In S Gauch, editor, 8th Int. Conf. on Information Knowledge Management, CIKM'99, pages 195-201. ACM, New York, 1999.
10. A Gómez and Oscar Corcho. Ontology languages for the Semantic Web. IEEE Intelligent Systems, 2002.
11. A Gómez et al. Knowledge maps: An essential technique for conceptualisation. Data & Knowledge Engineering, 33:169-190, 2000.
12. J Gordon. Creating knowledge maps by exploiting dependent relationships. Knowledge-Based Systems, pages 71-79, 2000.
13. J Heflin and J Hendler. Dynamic ontologies on the web. In American Association For Artificial Intelligence Conf., pages 251-254. AAAI Press, California, 2000.
14. J Hendler and E Feigenbaum. Knowledge is power: The Semantic Web vision. In N Zhonh et al., editors, Web intelligence: Research and development, volume 2198 of LNAI, pages 18-29. Springer-Verlag, Berlin, 2001.
15. I Horrocks et al. From SHIQ and RDF to OWL: The making of a web ontology language. Journal of web semantics, 2003.
16. S Kaski et al. WEBSOM - Self-organizing maps of document collections. Neurocomputing, 6:101-117, 1998.
17. T Kohonen. Self-Organizing Maps. Information Sciences Series. Springer-Verlag, Berlin, 3rd edition, 2001.
18. T Kohonen et al. Self organization of a massive text document collection. In E Oja and S Kaski, editors, Kohonen Maps, pages 171-182. Elsevier Sci, Amsterdam, 1999.
19. S Legrand and JRG Pulido. A hybrid approach to word sense disambiguation: Neural clustering with class labeling. In P Buitelaar et al., editors, Workshop on knowledge discovery and ontologies, 15th European Conference on Machine Learning (ECML), Pisa, Italy, pages 127-132, September 2004.
20. A Maedche and V Zacharias. Clustering ontology-based metadata in the semantic web. In T Elomaa et al., editors, Principles of Data Mining and Knowledge Discovery: 6th European Conference, PKDD 2002, volume 2431 of LNCS, pages 348-360. Springer, 2002.
21. J McCormack and B Wohlschlaeger. Harnessing agent technologies for data mining and knowledge discovery. In Data Mining and Knowledge Discovery: Theory, Tools and Technology II, volume 4057, pages 393-400, 2000.
22. E Motta et al. Ontology-driven document enrichment: principles, tools and applications. Int.J.Human-Computer Studies, 52:1071-1109, 2000.
23. A Rauber and D Merkl. Automatic labeling of self-organizing maps: Making a treasure-map reveal its secrets. In Pacific-Asia Conf. on Knowledge Discovery and Data Mining, pages 228-237, 1999.
24. H Ritter and T Kohonen. Self-organizing semantic maps. Biological Cybernetics, 61:241-254, 1989.
25. I Sanz et al. Gathering metadata from web-based repositories of historical publications. In A Tjoa and R Wagner, editors, 9th Int. Workshop on Database and Expert Systems Apps, pages 473-478. IEEE Computer Soc.Press, Los Alamitos, 1998.
26. P Schneider and D Fensel. Layering the Semantic Web: Problems and directions. In I Horrocks and J Hendler, editors, 1st Int.Semantic Web Conf., volume 2342 of LNCS, pages 16-29. Springer-Verlag, Berlin, 2002.
27. M Uschold and M Gruninger. Ontologies: Principles, methods, and applications. Knowledge Engineering Review, 11(2):93-155, 1996.
28. A Waterson and A Preece. Verifying ontological commitment in knowledge-based systems. Knowledge-Based Systems, 12:45-54, 1999.
29. Y Yang et al. A study of approaches to hypertext categorization. J. Intelligent Information Systems, 18(2/3):219-241, 2002.