Finding the most similar concepts in two different ontologies

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 2972, Issue , 2004, Pages 129-138

  Guzman Arenas, Adolfo ^a   Olivares Ceja, Jesus M ^a  

^a INSTITUTO POLITÉCNICO NACIONAL   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; AUTONOMOUS AGENTS; COMPUTATION THEORY; KNOWLEDGE REPRESENTATION; NATURAL LANGUAGE PROCESSING SYSTEMS; SUBROUTINES; UTILITY PROGRAMS; COMPUTERS;

COMMUNICATION LANGUAGES; ONTOLOGIES; ADDRESS SPACE; ENGLISH WORD;

SPEECH PROCESSING; ARTIFICIAL INTELLIGENCE;

EID: 9444292862     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-24694-7_14     Document Type: Conference Paper

References (13)

1. John Everett, D Bobrow, R Stolle, R Crouch, V de Paiva, C Condoravdi, M van den Berg, and L Polyani. (2002) Making ontologies work for resolving redundancies across documents. Communication of the ACM 45, 2, 55-60. February.
2. K. Forbus, B. Falkenhainer, D. Gentner. (1989) The structure mapping engine: algorithms and examples. Artificial Intelligence 41, 1, 1-63.
3. A. Gelbukh, G. Sidorov, and A. Guzman-Arenas. (1999) Use of a weighted document topic hierarchy for document classification. Text, Speech, Dialogue, 133-138. Pilsen, Chech Republic, September 13-17.
4. A. Gelbukh, G. Sidorov, and A. Guzman-Arenas. (1999) Document comparison with a weighted topic hierarchy. DEXA-99, 10th International Conference on Database and Expert System applications, Workshop on Document Analysis and Understanding for Document Databases, 566-570. Florence, Italy, August 30 to September 3.
5. Thomas R. Gruber (1993) Toward Principles for the Design of Ontologies Used for Knowledge Sharing, in Formal Ontology in Conceptual Analysis and Knowledge Representation, Nicola Guarino and Roberto Poli (eds.), Kluwer Academic Publishers.
6. A. Guzman, Jesus Olivares, Araceli Demetrio and Carmen Dominguez, (2000) Interaction of purposeful agents that use different ontologies. Lecture Notes in Artificial Intelligence (LNAI) 1793, 557-573. Osvaldo Cairo, Enrique Sucar, F. J. Cantu (eds). Springer Verlag.
7. A. Guzman, C. Dominguez, and J. Olivares. (2002) Reacting to unexpected events and communicating in spite of mixed ontologies In LNAI 2313, 377-386.
8. Cloyde W. Holsapple and K. D. Joshi. (2002) A collaborative approach to ontology design. Comm. ACM 45, 2, 42-47. February.
9. M. N. Huhns; M. P. Singh. and T. Ksiezyk (1997) Global Information Management Via Local Autonomous Agents. In Readings in Agents, M. N. Huhns, Munindar P. Singh, (eds.). Morgan Kauffmann Publishers, Inc. San Francisco, CA
10. Henry Kim. (2002) Predicting how ontologies for the semantic web will evolve. Comm. ACM 45, 2, 48-54. February.
11. Douglas B. Lenat, R. V. Guha, Karen Pittman, Dexter Pratt and Mary Shepherd (1990) Cyc: Toward Programs with Common Sense, Comm. ACM 33, 9, 30-49.
12. Serguei Levachkine, A. Guzman-Arenas (2002) Hierarchy as a new data type for qualitative variables. Submitted to Data and Knowledge Engineering.
13. Jesus Olivares (2002) An Interaction Model among Purposeful Agents, Mixed Ontologies and Unexpected Events. Ph. D. Thesis, CIC-IPN. In Spanish. Available on line at http://www.jesusolivares.com/interaction/publica