Improving annotation in the semantic web and case authoring in textual CBR

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4106 LNAI, Issue , 2006, Pages 226-240

  Recio García, Juan A ^a   Gómez Martín, Marco A ^a   Díaz Agudo, Belén ^a   González Calero, Pedro A ^a  

^a UNIVERSIDAD COMPLUTENSE DE MADRID   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

DATA ACQUISITION; DATA STRUCTURES; SEMANTICS; TEXT PROCESSING; WEBSITES;

CASE BASED REASONING (CBR); INFORMATION EXTRACTION (IE); SEMANTIC ANNOTATION; SEMANTIC RETRIEVAL; SEMANTIC WEB;

INFORMATION RETRIEVAL SYSTEMS;

EID: 33751006142     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11805816_18     Document Type: Conference Paper

References (19)

1. T. Berners-Lee, J. Hendler, and O. Lassila. The semantic web, 2001.
2. L. K. Branting and R. Weber, editors. Textual Case-Based Reasoning Workshop, at the 6th International Conference on Case-Based Reasoning, Chicago, IL, USA, August 2005.
3. S. Brüninghaus and K. D. Ashley. The role of information extraction for textual CBR. In Proceedings of the 4th International Conference on Case-Based Reasoning, ICCBR '01, pages 74-89. Springer, 2001.
4. D. Connolly, F. v. Harmelen, I. Horrocks, D. L. McGuinness, P. F. Patel-Schneider, and L. A. Stein. DAML+OIL Reference Description. World Wide Web Consortium, March 2001.
5. C. Cunningham, R. Weber, J. M. Proctor, C. Fowler, and M. Murphy. Investigating graphs in textual case-based reasoning. In P. Funk and P. A. González-Calero, editors, Proceedings of Advanced in Case-Based Reasoning, 7th European Conference on Case-Based Reasoning, ECCBR 2004, volume 3155 of Lecture Notes in Computer Science, pages 573-587. Springer, 2004.
6. B. Díaz-Agudo and P. A. González-Calero. Formal Concept Analysis as a Support Technique for CBR. In Knowledge-Based Systems, 14 (3-4), pages 163-172. Elsevier, June 2001.
7. M. Erdmann, A. Maedche, H. P. Schnurr, and S. Staab. From manual to semiautomatic semantic annotation: About ontology-based text annotation tools. ETAI Journal - Section on Semantic Web (Linköping Electronic Articles in Computer and Information Science), 6(2), 2001.
8. Y. Gil, E. Motta, V. R. Benjamins, and M. A. Musen, editors. The SemanticWeb, 4th International SemanticWeb Conference, ISWC 2005, volume 3729 of Lecture Notes in Computer Science, Galway, Ireland, November 2005. Springer.
9. J.-L. Guigues and V. Duquenne. Families minimales d'implications informatives resultant d'un tableau de données binaires. Math. Sci. Humanies 95, 1986, 5-18.
10. K. M. Gupta. The role of generative ontologies in textual CBR. In Invited Talk in the Textual CBR Workshop at the 6th International Conference on Case-Based Reasoning, Chicago, IL, 2005.
11. S. Handschuh and S. Staab, editors. Annotation for the semantic Web. IOS Press, 2003.
12. N. Kushmerick, D. Weld, and R. Doorenbos. Wrapper induction for information extraction. In Fifteenth International Joint Conference on Artificial Intelligence, IJCAI'97, pages 729-737, Nagoya, Japan, 1997. Morgan Kaufmann.
13. M. Lenz. Defining knowledge layers for textual case-based reasoning. In Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning, EWCBR-98, pages 298-309. Springer, 1998.
14. M. Lenz. Knowledge sources for textual CBR applications. In M. Lenz and K. Ashley, editors, AAAI-98 Workshop on Textual Case-Based Reasoning, pages 24-29, Menlo Park, CA, 1998. AAAI Press.
15. M. Luxenburguer. Implications partielles dans un contexte. Mathématiques, Informatique et Sciences Humaines, 113(29):35-55, 1991.
16. J. A. Recio, B. Díaz-Agudo, M. A. Gómez-Martín, and N. Wiratunga. Extending jCOLIBRI for textual CBR. In H. Muñoz-Avila and F. Ricci, editors, Proceedings of the 6th International Conference on Case-Based Reasoning, ICCBR 2005, volume 3620 of Lecture Notes in Artificial Intelligence, subseries of LNCS, pages 421-435, Chicago, IL, US, August 2005. Springer.
17. Semantic web annotation and authoring. http://annotation.semanticweb.org/ tools/.
18. R. Wille. Restructuring Lattice Theory: an approach based on hierarchies of concepts. Ordered Sets, 1982.
19. K. E. Wolff. A first course in formal concept analysis. How to understand line diagrams. In F. Faulbaum, editor, SoftStat, Advanced in Statistical Software, pages 429-438. Gustav Fischer Verlag, 1993.