Supporting inheritance mechanisms in ontology representation

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

Volumn 1937, Issue , 2000, Pages 140-155

  Tamma, Valentina A M ^a   Bench Capon, Trevor J M ^a  

^a UNIVERSITY OF LIVERPOOL   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

KNOWLEDGE ENGINEERING; KNOWLEDGE MANAGEMENT;

INHERITANCE MECHANISMS; KNOWLEDGE-SHARING; MULTIPLE INHERITANCE; ONTOLOGY ENGINEERING; ONTOLOGY REPRESENTATIONS; PAPER ANALYSIS; RESEARCH EFFORTS; SEMI-AUTOMATICS;

ONTOLOGY;

EID: 26944445560     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-39967-4_11     Document Type: Conference Paper

References (27)

1. R.A. Bourne and S. Parsons. Maximum entropy and variable strength defaults. In T. Dean, editor, Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence (IJCAI), pages 50-55. Morgan Kaufmann Publishers Inc., 1999.
2. R.J. Brachman. On the epistemological status of semantic networks. In R.J. Brachman and H.J. Levesque, editors, Readings in Knowledge Representation, pages 191-215. Morgan Kaufmann, Los Altos, CA, 1985.
3. B. Carpenter. Skeptical and credulous default unification with application to templates and inheritance. In T. Briscoe, A. Copestake, and V. de Paiva, editors, Default reasoning and Lexical Organization. Cambridge University Press, 1993.
4. V.K. Chaudhri, A. Farquhar, R. Fikes, P.D. Karp, and J.P. Rice. The generic frame protocol 2.0. Technical report, Stanford University, 1997.
5. R. Davis, H. Shrobe, and P. Szolovits. What is a knowledge representation? AI Magazine, 14(1):17-33, 1993.
6. R. Dieng and S. Hug. Comparison of ≪personal ontologies≫ represented trough conceptual graphs. In H. Prade, editor, Proceedings of the 13th European Conference of Artificial Intelligence (ECAI), pages 341-345. John Wiley & Sons, 1998.
7. N. Friedman Noy and M.A. Musen. SMART: Automated support for ontology merging and alignment. In Proceedings of the 12th Workshop on Knowledge Acquisition, Modeling and Management (KAW), Banff, Canada, 1999.
8. M.R. Genesereth and N.J. Nillson. Logical foundations of Artificial Intelligence. Morgan Kauffman, 1987.
9. M. Goldszmidt and J. Pearl. Qualitative probabilistic for default reasoning, belief revision, and causal modelling. Artificial Intelligence, 84(1-2):57-112, 1996.
10. [10] T. R. Gruber. A translation approach to portable ontology specifications. Knowledge Acquisition, 5(2):199-220, 1993.
11. [11] N. Guarino. The role of identity conditions in ontology design. In V.R. Benjamins, editor, Proceedings of the IJCAI'99 Workshop on Ontology and Problem-Solving Methods: Lesson learned and Future Trends, volume 18, Amsterdam, 1999. CEUR Publications.
12. [12] J.F. Horty. Some direct theories of nonmonotonic inheritance. In D. Gabbay, C. Hogger, and J. Robinson, editors, Handbook of Logics in Artificial intelligence and Logic Programming, Vol. 3: Nonmonotonic Reasoning and Uncertain Reasoning, pages 111-187. Oxford University Press, Oxford, 1994.
13. [13] J.F. Horty, R.H. Thomason, and D.S. Touretzky. A skeptical theory of inheritance in nonmonotonic semantic networks. Artificial intelligence, 42:311-348, 1990.
14. [14] R. Kowalski and M. Sergot. A logic-based calculus of events. New Generation Computing, 4:67-95, 1986.
15. [15] J. McCarthy. Applications of circumscription to formalizing common sense knowledge. Artificial Intelligence, 28:89-116, 1986.
16. [16] G.A. Miller. Nouns in WordNet: a lexical inheritance system. International Journal of Lexicography, 3(4):245-264, 1990.
17. [17] M. Minsky. A framework for representing knowledge. In A. Collins and E.H. Smith, editors, Cognitive Science, pages 191-215. Morgan Kaufmann, Los Altos, CA, 1992.
18. [18] L. Morgenstern. Inheritance comes of age: Applying nonmonotonic techniques to problems in industry. Artificial Intelligence, 103:1-34, 1998.
19. [19] J. Pearl. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kauffman, San Mateo, CA, revised second printing edition, 1988.
20. [20] H.S. Pinto, A. Gómez-Pérez, and J.P. Martins. Some issues on ontology integration. In V.R. Benjamins, editor, Proceedings of the IJCAI'99 Workshop on Ontology and Problem-Solving Methods: Lesson learned and Future Trends, volume 18, pages 7.1-7.11, Amsterdam, 1999. CEUR Publications.
21. [21] R. Reiter. A logic for default reasoning. Artificial Intelligence, 13:81-132, 1980.
22. [22] E.H. Rosch. Cognitive representations of semantic categories. Journal of Experiamental Psychology: General, 104:192-233, 1975.
23. [23] R. Studer, V.R. Benjamins, and D. Fensel. Knowledge engineering, principles and methods. Data and Knowledge Engineering, 25(1-2):161-197, 1998.
24. [24] D.S. Touretzky. The Mathematics of Inheritance Systems. Morgan Kaufmann, 1986.
25. [25] P.R.S. Visser, D.M. Jones, T.J.M. Bench-Capon, and M.J.R. Shave. Assessing heterogeneity by classifying ontology mismatches. In N. Guarino, editor, Formal Ontology in Information Systems. Proceedings FOIS'98, Trento, Italy, pages 148-162, Amsterdam, The Netherlands, 1998. IOS Press.
26. [26] P.R.S. Visser and V.A.M. Tamma. An experience with ontology-based agent clustering. In V.R. Benjamins, editor, Proceedings of the IJCAI'99 Workshop on Ontology and Problem-Solving Methods: Lesson learned and Future Trends, volume 18, pages 12.1-12.13, Amsterdam, 1999. CEUR Publications.
27. [27] W.A. Woods. What's in a link: Foundations for semantic networks. In D. G. Bobrow and A. Collins, editors, Representation and Understanding, pages 35-82. Academic Press, New York, 1975.