Locating related regulations using a comparative analysis approach

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Locating related regulations using a comparative analysis approach

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ACM International Conference Proceeding Series; Vol. 151 archive
Proceedings of the 2006 international conference on Digital government research table of contents

San Diego, California

SESSION: e-Rulemaking 2 table of contents

Pages: 229 - 238

Year of Publication: 2006

Authors

Gloria T. Lau	Thomson Findlaw, Sunnyvale, CA
Haoyi Wang	Stanford University, Stanford, CA
Kincho H. Law	Stanford University, Stanford, CA

Sponsor

NSF : National Science Foundation

Publisher

ACM New York, NY, USA

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ABSTRACT

The sheer volume and complexity of government regulations make any attempt to locate, understand and interpret the information a daunting task. Other factors, such as the scattered distribution of the regulations across many sources, different terminologies and cross referencing, further complicate the technical issues in developing a regulation information management system. This paper describes a comparative analysis approach and its potential application to assist locating relevant regulations from different sources. Examples from environmental regulations are employed to illustrate the proposed methodology and framework.

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	R. Attar , A. S. Fraenkel, Local Feedback in Full-Text Retrieval Systems, Journal of the ACM (JACM), v.24 n.3, p.397-417, July 1977 [doi>10.1145/322017.322021]
	2	Michael W. Berry , Murray Browne, Understanding search engines: mathematical modeling and text retrieval, Society for Industrial and Applied Mathematics, Philadelphia, PA, 1999
	3	L. Karl Branting, Reasoning with portions of precedents, Proceedings of the 3rd international conference on Artificial intelligence and law, p.145-154, May 1991, Oxford, England [doi>10.1145/112646.112664]
	4	California Code of Regulations (CCR), Title 22, California Office of Administrative Law, Sacramento, CA, 2003.
	5	Code of Federal Regulations (CFR), Title 40, Parts 141--143, US Environmental Protection Agency, Washington, DC, 2002.
	6	Carolyn J. Crouch , Bokyung Yang, Experiments in automatic statistical thesaurus construction, Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval, p.77-88, June 21-24, 1992, Copenhagen, Denmark [doi>10.1145/133160.133180]
	7	E. L. Dawson and L. L. Davies, "Book Review: Environmental Law And Policy: Nature, Law, And Society. By Zygmunt J. B. Plater, Robert H. Abrams, William Goldfarb, And Robert L. Graham," Stanford Environmental Law Journal, Volume 19, Number 2, pp. 469--478, May 2000.
	8	E. Ide. "New Experiments in Relevance Feedback," In G. Salton (Eds.), The SMART Retrieval System - Experiments in Automatic Document Processing, Prentice Hall, Inc., Englewood Cliffs, NJ, 1971.
	9	International Building Code 2000, International Conference of Building Officials (ICBO), Whittier, CA, 2000.
	10	Gloria T. Lau , Kincho H. Law, A comparative analysis framework for semi-structured documents, with applications to government regulations, 2004
	11	G. T. Lau, K. H. Law, and G. Wiederhold. "A Relatedness Analysis of Government Regulations using Domain Knowledge and Structural Organization," (accepted for publication) Information Retrieval.
	12	P. Mitra and G. Wiederhold, "Resolving Terminological Heterogeneity in Ontologies," Proceedings of Workshop on Ontologies and Semantic Interoperability at the 15th European Conference on Artificial Intelligence (ECAI), Lyon France, 2002.
	13	Potential Drinking Water Contaminant Index, US Environmental Protection Agency, Washington, DC, 2003.
	14	Yonggang Qiu , Hans-Peter Frei, Concept based query expansion, Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval, p.160-169, June 27-July 01, 1993, Pittsburgh, Pennsylvania, United States [doi>10.1145/160688.160713]
	15	C. Rechtschaffen, "Competing Visions: EPA And The States Battle For The Future Of Environmental Enforcement," Environmental Law Reporter, 30 Envtl. L. Rep. 10803, September 2000.
	16	Regulatory Flexibility Act (RFA), 5 U. S. C. § § 601 et seq, 1980.
	17	J. J. Rocchio. "Relevance Feedback in Information Retrieval," In G. Salton (Eds.), The SMART Retrieval System - Experiments in Automatic Document Processing, Prentice Hall, Inc., Englewood Cliffs, NJ, 1971.
	18	G. Salton, The SMART Retrieval System—Experiments in Automatic Document Processing, Prentice-Hall, Inc., Upper Saddle River, NJ, 1971
	19	C. Skrzycki, "The Regulators; Compliance Education Goes Self-Service", The Washington Post, May 23rd, 2000.
	20	Small Business Regulatory Enforcement Fairness Act (SBREFA), Pub Law No. 104--121, March 29 1996 (available at http://www.epa.gov/sbrefa/statute.htm).
	21	D. B. Spence, "Paradox Lost: Logic, Morality, and the Foundations of Environmental Law in the 21st Century," Columbia Journal of Environmental Law, Volume 20, Issue 1, pp. 145--182, 1995.
	22	Jinxi Xu , W. Bruce Croft, Query expansion using local and global document analysis, Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval, p.4-11, August 18-22, 1996, Zurich, Switzerland [doi>10.1145/243199.243202]