Tim Menzies
- 1 Abts, C., Clark, B., Devnani-Chulani, S., Horowitz, E., Madachy, R., Reifer, D., Selby, R., and Steece, B. Cocomo II Model Definition Manual. Technical Report. Center for Software Engineering, University of Southern California, 1998, http://sunset, usc.edu/ COCOMOII/c~c~m~x'html#d~wnl~adsGoogle Scholar
- 2 Agnew, N., Ford, K., and Hayes, P. Expertise in context: personally constructed, socially elected, and reality-relevant? International Journal of Expert Systems 7 (1993). Google ScholarDigital Library
- 3 Bachant, J. and McDermott, J. R1 revisited: four years in the trenches. A{Magazine (1984), pp. 21-32.Google Scholar
- 4 Catlett, J. Inductive learning from subsets or disposal of excess training data considered harmful. In Proceedings of Australian #rkshop on Knowledge Acquisition j#r Knowledge-Based Systems, Pokolbin, 1991, pp. 53-67.Google Scholar
- 5 Coad, E, North, D., and Mayfield, M. Object Models: Strategies, Palterns, and Applications. Prentice Hall, New York, 1997. Google ScholarDigital Library
- 6 Compton, E, Horn, K., Quinlan, J., and Lazarus, L. Maintaining an expert system. In Applications of Expert Systems (J. Quinlan, ed.). Addison Wesley, New York, 1989, pp. 366-385.Google Scholar
- 7 Finkelstein, A., Gabbay, D., Hunter, A., Kramer, J., and Nuseibeh, B. Inconsistency handling in multiperspective specification. {EEE 3ansactions on Software Engineering 20, 8 (1994), pp. 569-578. Google ScholarDigital Library
- 8 Gaines, B. and Shaw, M. Comparing the conceptual systems of experts. In Proceedings of{JCA{ '89, 1989, pp. 6334538.Google Scholar
- 9 Gil, Y. and Tallis, M. A script-based approach to modifying knowledge bases. In Proceedings of the Fourteenth National Conj#rence on Artificial Intelligence, 1997. Google ScholarDigital Library
- 10 Marcus, S. and McDermott, J. SALT: A knowledge acquisition language for propose-and-revise systems. Artificial{ntelligence 39 (1989), pp. 1-37. Google ScholarDigital Library
- 11 Marcus, S., Stout, J., and McDermott, J. VT: An expert elevator designer that uses knowledge-based backtracking. A{Magazine (1987), pp. 41-58. Google ScholarDigital Library
- 12 Marques, D., Dallemagne, G., Kliner, G., McDermott, J., and Tung, D. Easy programming: empowering people to build their own applications. {EEEExpert (1992), pp. 16-29. Google ScholarDigital Library
- 13 Menzies, T. and Clancey, B. Editorial. Special Issue on Situated Cognition. International Journal of Human-Computer Studies 49 (1998). Google ScholarDigital Library
- 14 Menzies, T., Easterbrook, S., Nuseibeh, B., and Waugh, S. An empirical investigation of multiple viewpoint reasoning in requirements engineering. In Proceedings of RE #9, 1999. Available in Adobe Acrobat format at http://research'iw'nasa'g~v/d~cs/ techreports/1999/NASA-IVV-99- 009.pdf Google ScholarDigital Library
- 15 Preece, A. and Shinghal, R. Verifying knowledge bases by anomaly detection: an experience report. In Proceedings of ECA{ '92 (1992). Google ScholarDigital Library
- 16 Quinlan, J. Induction of decision trees. Machine Learning 1 (1986), pp. 81-106. Google ScholarDigital Library
- 17 Shalin, V., Geddes, N., Bertram, D., Szczepkowski, M., and Dubois, D. Expertise in dynamic, physical task domains. In Expertise in Context (P. Feltovich, K. Ford, and R. Hoffman, eds.). MIT Press, Cambridge, MA, 1997, pp. 195-217. Google ScholarDigital Library
- 18 Shaw, M. #alidation in a knowledge acquisition system with multiple experts. In Proceedings of the International Conj#rence on Fifth Generation Computer Systems, 1988, pp. 1259-1266.Google Scholar
- 19 Silverman, B. Survey of expert critiquing systems: practical and theoretical frontiers. Communications oftheACM35 (1992), pp. 106-127. Google ScholarDigital Library
- 20 Soloway, E., Bachant, J., and Jensen, K. Assessing the maintainability of xcon-in-rime: coping with the problems of a very large rule-base. In Proceedings of AAA{ '87(1987), pp. 824-829.Google Scholar
- 21 Swartout, B. and Gill, Y. Flexible knowledge acquisition through explicit representation of knowledge roles. In Proceedings of AAA{ Spring Symposium on Acquisition, LearninG and Demonstration: Automating Tasks jar #hers, 1996. #Google ScholarCross Ref
Index Terms
- Cost benefits of ontologies
Recommendations
Semantic enrichment for medical ontologies
The Unified Medical Language System (UMLS) contains two separate but interconnected knowledge structures, the Semantic Network (upper level) and the Metathesaurus (lower level). In this paper, we have attempted to work out better how the use of such a ...
Combining OWL ontologies using E-Connections
The standardization of the Web Ontology Language (OWL) leaves (at least) two crucial issues for Web-based ontologies unsatisfactorily resolved, namely how to represent and reason with multiple distinct, but linked ontologies, and how to enable effective ...
Computing minimum cost diagnoses to repair populated DL-based ontologies
WWW '08: Proceedings of the 17th international conference on World Wide WebOntology population is prone to cause inconsistency because the populating process is imprecise or the populated data may conflict with the original data. By assuming that the intensional part of the populated DL-based ontology is fixed and each ...
Comments