A case-based approach to intelligent information retrieval

Subscribe (Full Service)


	Search: The ACM Digital Library The Guide

	Feedback

A case-based approach to intelligent information retrieval

Full text

Pdf (1.01 MB)

Source

Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval table of contents

Seattle, Washington, United States

Pages: 238 - 245

Year of Publication: 1995

ISBN:0-89791-714-6

Authors

Jody J. Daniels	Department of Computer Science, University of Massachusetts, Amherst, MA
Edwina L. Rissland	Department of Computer Science, University of Massachusetts, Amherst, MA

Sponsors

BCS-ISRG : BCS-ISRG
CEPIS : Council of European Professional Informatics Societies
AICA : Assoc Italianai de Calcolo Automatico
BCS-IRSG : BCS/Information Retrieval Specialist Group
German Comp Soc : GI - Gesellshaft for Informatik
IPSJ : Information Processing Society of Japan
SIGIR: ACM Special Interest Group on Information Retrieval
DD :

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 2, Downloads (12 Months): 23, Citation Count: 11

Additional Information:

references cited by index terms collaborative colleagues

Tools and Actions:	Request Permissions Review this Article Save this Article to a Binder Display Formats: BibTeX EndNote ACM Ref

DOI Bookmark:	Use this link to bookmark this Article: http://doi.acm.org/10.1145/215206.215364 What is a DOI?

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Kevin D. Ashley, Modelling legal argument: reasoning with cases and hypotheticals, University of Massachusetts, Amherst, MA, 1988
	2	David C. Blair , M. E. Maron, An evaluation of retrieval effectiveness for a full-text document-retrieval system, Communications of the ACM, v.28 n.3, p.289-299, March 1985 [doi>10.1145/3166.3197]
	3	James P. Callan, W Bruce Croft, and Stephen M. Harding. The INQUERY Retrieval System. In A. M. Tjoa and I. Ramos, editors, Database and Expert Systems Applications: Proceedrags of the bzternational Conference in Valencia, Spain, pages 78-83, Valencia, Spain, 1992. Springer Verlag, NY.
	4	Robert H. Creecy , Brij M. Masand , Stephen J. Smith , David L. Waltz, Trading MIPS and memory for knowledge engineering, Communications of the ACM, v.35 n.8, p.48-64, Aug. 1992 [doi>10.1145/135226.135228]
	5	W. B. Croft , R. Das, Experiments with query acquisition and use in document retrieval systems, Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval, p.349-368, September 05-07, 1990, Brussels, Belgium [doi>10.1145/96749.98240]
	6	W. Bruce Croft , Howard R. Turtle , David D. Lewis, The use of phrases and structured queries in information retrieval, Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval, p.32-45, October 13-16, 1991, Chicago, Illinois, United States [doi>10.1145/122860.122864]
	7	Andrew R. Golding and Paul S. Rosenbloom. Improving Rule- Based Systems Through Case-Based Reasoning. In Proceedings, Ninth International Conference on Artificial h~telligence, volume 1, pages 22-27, Anaheim, CA, July 1991. AAAI.
	8	David Haines and Bruce Croft. Relevance Feedback and Inference Networks. Technical report, University of Massachusetts at Amherst, Amherst, MA, April 1993.
	9	Janet Kolodner, Case-based reasoning, Morgan Kaufmann Publishers Inc., San Francisco, CA, 1993
	10	E. L. Rissland, J. J. Daniels. Z B Rubinstein, and D B. Skalak. Case-Based Diagnostic Analysis in A Blackboard Architecture. In Proceedings, The 1 l th National ConJerence on Artqqcial Intelligence, pages 66-72, Washington D.C, July 1993. AAAI.
	11	E. L. Rissland , K. D. Ashley, A case-based system for trade secrets law, Proceedings of the 1st international conference on Artificial intelligence and law, p.60-66, May 27-29, 1997, Boston, Massachusetts, United States [doi>10.1145/41735.41743]
	12	Edwina L. Rissland, D. B. Skalak, and M. Timur Friedman. BankXX: Supporting Legal Arguments through Heuristic Retrieval. 1994. Submitted to Artificial Intelligence and Law.
	13	Edwina L. Rissland, D. B. Skalak, and M. Timur Friedman. Evaluating a Legal Argument Program. 1994. Submitted to Artificial Intelligence and Law.
	14	Edwina L. Rissland , David B. Skalak , M. Timur Friedman, Heuristic harvesting of information for case-based argument, Proceedings of the twelfth national conference on Artificial intelligence (vol. 1), p.36-43, October 1994, Seattle, Washington, United States
	15	Edwina L. Rissland , David B. Skalak, CABARET: rule interpretation in a hybrid architecture, International Journal of Man-Machine Studies, v.34 n.6, p.839-887, June 1991 [doi>10.1016/0020-7373(91)90013-W]
	16	Gerard Salton, Automatic text processing: the transformation, analysis, and retrieval of information by computer, Addison-Wesley Longman Publishing Co., Inc., Boston, MA, 1989
	17	Craig Stanfill , David Waltz, Toward memory-based reasoning, Communications of the ACM, v.29 n.12, p.1213-1228, Dec. 1986 [doi>10.1145/7902.7906]
	18	Howard Turtle, Natural language vs. Boolean query evaluation: a comparison of retrieval performance, Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval, p.212-220, July 03-06, 1994, Dublin, Ireland

CITED BY 11

	Jody J. Daniels , Edwina L. Rissland, Finding legally relevant passages in case opinions, Proceedings of the 6th international conference on Artificial intelligence and law, p.39-46, June 30-July 03, 1997, Melbourne, Australia
	Mohamed T. Elhadi , Tibor Vamos, Bankruptcy case law: a hybrid IR-CBR approach, Proceedings of the 7th international conference on Artificial intelligence and law, p.134-135, June 14-17, 1999, Oslo, Norway
	Jack G. Conrad , Daniel P. Da bney, A cognitive approach to judicial opinion structure: applying domain expertise to component analysis, Proceedings of the 8th international conference on Artificial intelligence and law, p.1-11, May 2001, St. Louis, Missouri, United States
	Edwina L. Rissland , Jody J. Daniels, A hybrid CBR-IR approach to legal information retrieval, Proceedings of the 5th international conference on Artificial intelligence and law, p.52-61, May 21-24, 1995, College Park, Maryland, United States
	Kevin D. Ashley , Edwina L. Rissland, Law, learning and representation, Artificial Intelligence, v.150 n.1-2, p.17-58, November 2003
	Jody J. Daniels , Edwina L. Rissland, Locating passages using a case-base of excerpts, Proceedings of the seventh international conference on Information and knowledge management, p.38-44, November 02-07, 1998, Bethesda, Maryland, United States
	Vladimir A. Kulyukin , Robin Burke, Mining free text for structure, Data mining: opportunities and challenges, Idea Group Publishing, Hershey, PA, 2003
	Froylan Martinez , Leonardo Garrido, Application of machine learning techniques for reducing retrieval time in large case-based reasoning systems, Proceedings of the 24th IASTED international conference on Artificial intelligence and applications, p.287-292, February 13-16, 2006, Innsbruck, Austria
	Maurizio Panti , Luca Spalazzi , Alberto Giretti, A Case-Based Approach to Information Integration, Proceedings of the 26th International Conference on Very Large Data Bases, p.557-565, September 10-14, 2000
	Sima C. Newell, User Models and Filtering Agents for Improved Internet Information Retrieval, User Modeling and User-Adapted Interaction, v.7 n.4, p.223-237, 1997
	Isabelle Bichindaritz, Prototypical case mining from biomedical literature for bootstrapping a case base, Applied Intelligence, v.28 n.3, p.222-237, June 2008