Michael N.
Huhns
Publications: Knowledge
Representation and Reasoning, Including Ontologies
August 14, 2006
1. Jingshan Huang, Jiangbo
Dang, Michael N. Huhns, and Yongzhen Shao, “Ontology Alignment as a Basis for
Mobile Service Integration and Invocation,” Journal
of Pervasive Computing and Communications, 2006 (to appear). [PDF]
2. Larry M. Stephens, Aurovinda
K. Gangam, and Michael N. Huhns, “Constructing Consensus Ontologies for the
Semantic Web: A Conceptual Approach,” World
Wide Web Journal, Kluwer Academic Publishers, vol. 7, no. 4, pp. 421-442,
December 2004. [PDF]
3. Larry M. Stephens and
Michael N. Huhns, “Consensus Ontologies: Reconciling the Semantics of Web Pages
and Agents,” IEEE Internet Computing,
vol. 5, no. 5, pp. 92-95, September/October 2001. [PDF]
4. Kuhanandha
Mahalingam and Michael N. Huhns, “Ontology Tools for Semantic Reconciliation in
Distributed Heterogeneous Information Environments,” Intelligent Automation and Soft Computing (special issue on
Distributed Intelligent Systems, Mohamed Kamel and Mohammad Jamshidi, editors),
vol. 6, no. 3, pp. 1-8, 2000. [PDF]
5. Michael N. Huhns and Larry
M. Stephens, “Personal Ontologies,” IEEE
Internet Computing, vol. 3, no. 5, pp. 85-87, September/October 1999. [PDF]
6. Michael N. Huhns and
7. Munindar P. Singh and
Michael N. Huhns, “Automating Workflows for Service Order Processing:
Integrating AI and Database Technologies,” IEEE
Expert, vol. 9, no. 5, pp. 19-23, October 1994. [PDF]
8. Michael N. Huhns and Ramon
D. Acosta, “Argo: A System for Design by Analogy,” IEEE Expert, vol. 3, no. 3, pp. 53-68, Fall 1988.
1. Jingshan Huang, Rosa Laura
Zavala Gutiérrez, Benito Mendoza García, and Michael N. Huhns, “Reconciling
Agent Ontologies for Web Service Applications,” in Multiagent System Technologies: Third German Conference, MATES 2005,
Torsten Eymann, Franziska Klügl, Winfried Lamersdorf, Matthias Klusch, and
Michael N. Huhns, editors, Springer Verlag, vol. LNAI 3550, Berlin, pp.
106-117, 2005. [PDF]
2. Michael N. Huhns and Larry
M. Stephens, “Semantic Bridging of Independent Enterprise Ontologies,” in Enterprise
Inter- and Intra-Organizational Integration: Building International Consensus,
Kurt Kosanke et al., editors, Kluwer Academic Publishers, Boston, MA, 2002. [PDF]
3. Michael N. Huhns and Ramon
D. Acosta, “Argo: An Analogical Reasoning System for Solving Design Problems,”
in Artificial Intelligence in Engineering
Design, Volume II, Christopher Tong and Duvvuru Sriram, editors, Academic
Press, Inc., San Diego, CA, 1992. [PS]
1. Jingshan Huang and Michael
N. Huhns, “Superconcept Formation System–An Ontology Matching Algorithm for Service
Discovery,” Proc. Service Discovery on the WWW Workshop (sdisco’06),
2. Jingshan Huang, Jiangbo
Dang, and Michael N. Huhns, “Reconciling Ontologies for Coordination among
E-business Agents,” Proc. AAMAS Workshop on Business Agents and the Semantic Web,
3. Jingshan Huang, Laura
Zavala, Benito Mendoza, and Michael N. Huhns, “Sharing Ontology Schema
Information for Web Service Integration,” Proc.
5th International Conference on Computer and Information Technology,
4. Jingshan Huang, Laura
Zavala, Benito Mendoza, and Michael N. Huhns, “A Schema-Based Approach Combined
with Inter-Ontology Reasoning to Construct Consensus Ontologies,” Proc. AAAI Workshop on Contexts and
Ontologies: Theory, Practice and Applications, Technical Report
WS-05-01, AAAI Press, Menlo Park, CA, pp. 80-87, July 2005. [PDF]
5.
6. Larry M. Stephens, Aurovinda
K. Gangam, and Michael N. Huhns, “Developing Consensus Ontologies for the
Semantic Web,” in Proceedings of the Workshop on Semantic Integration, Sanibel Island, FL, pp. 86-92, October 2003. [PDF]
7. Michael N. Huhns and Larry M. Stephens, “Consensus
Ontologies: Reconciling
8. Michael N. Huhns and C. J.
Petrie Jr., “Controlling Forward Rule Instances,” in Avignon 88: Eighth International Workshop on Expert Systems and their
Applications, Avignon, France, June 1988.
9. Michael N. Huhns and Ramon
D. Acosta, “Formulating and Retrieving Knowledge through Abstraction Extensions
to Explanation Based Learning,” in Proceedings
AAAI Spring Symposium on Explanation-Based Learning, Stanford, CA, pp.
117-121, March 1988.
10. Michael N. Huhns and Ramon
D. Acosta, “Argo: A System for Design by Analogy,” in Proceedings of the Fourth Conference on Artificial Intelligence
Applications, San Diego, CA, pp. 146-151, March 1988. [Best Paper Award]
11. Ramon D. Acosta, Michael N.
Huhns, and Shiuh-li Liuh, “Analogical Reasoning for Digital System Synthesis,”
in IEEE International Conference on
Computer-Aided Design, Santa Clara, CA, pp. 173-176, November 1986.
12. Kuhanandha Mahalingam and
Michael N. Huhns, “An Ontology Tool for Query Formulation in an Agent-Based
Context,” in Proceedings International
Conference on Cooperating Information Systems, Kiawah Island, SC, June
1997. [PDF]
13. Michael N. Huhns and Larry
M. Stephens, “Plausible Inferencing Using Extended Composition,” in Proceedings of IJCAI-89,
1.
Marco Valtorta, John Byrnes, Michael Huhns,
and Richard Rohwer, “Combining Facts and Expert Opinion in Analytical Models
via Logical and Probabilistic Reasoning,” USC CSE Technical Report TR-2006-12,
July 2006.
2.
Elizabeth T. Whitaker, Marco G. Valtorta, and Michael N. Huhns, “Building and Evaluating Analytical Models
Using Case-Based Reasoning for Knowledge Discovery and Bayesian Evidence
Management,” NIMD Technical Report TP_GTRI_060418, April 2006.
3. Michael N. Huhns, “Information Technology – Specification and
standardization of data elements—Part 2: Classification for data elements,”
ISO/IEC 11179-2 (international standard), for ISO/IEC JTC 1/SC32, December
1999.
4. Kuhanandha Mahalingam and
Michael N. Huhns, “Representing and Using Ontologies,” USC CIT Technical Report
98-01, January 1998. [PDF]
5. Michael N. Huhns and Larry
M. Stephens, “Extended Composition of Relations,” MCC Technical Report Number
ACA-AI-376-88, Microelectronics and Computer Technology Corporation,
6. Michael N. Huhns and Larry
M. Stephens, “Knowledge Classification in CYC,” MCC Technical Report Number
ACA-AI-091-88-Q, Microelectronics and Computer Technology Corporation,
7. Michael N. Huhns and Ramon
D. Acosta, “Alternative Explanation Structures for Explanation-Based Learning,”
MCC Technical Report Number ACA/AI-CAD-079-88, Microelectronics and Computer
Technology Corporation,
8. Michael N. Huhns and Ramon
D. Acosta, “Argo: An Analogical
Reasoning System for Solving Design Problems,” MCC Technical Report Number
AI/CAD-092-87, Microelectronics and Computer Technology Corporation, Austin,
TX, March 16, 1987.
9. Michael N. Huhns and
Shiuh-li Liuh, “Using a TMS for EBG,” MCC Technical Report Number AI-445-86,
Microelectronics and Computer Technology Corporation,