ACM Home Page
Please provide us with feedback. Feedback
Mapping regulations to industry-specific taxonomies
Full text PdfPdf (751 KB)
Source
International Conference on Artificial Intelligence and Law archive
Proceedings of the 11th international conference on Artificial intelligence and law table of contents
Stanford, California
SESSION: Legal ontologies table of contents
Pages: 59 - 63  
Year of Publication: 2007
ISBN:978-1-59593-680-6
Authors
Chin Pang Cheng  Stanford University, Stanford, CA
Gloria T. Lau  Stanford University, Stanford, CA
Kincho H. Law  Stanford University, Stanford, CA
Sponsor
: International Association for Artificial Intelligence and Law
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 9,   Downloads (12 Months): 43,   Citation Count: 1
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1276318.1276329
What is a DOI?

ABSTRACT

For each industry, there exist many taxonomies that are intended for various applications. There are also multiple sources of regulations from different government agencies. Industry practitioners, unlike legal practitioners, are familiar with one or more industry-specific taxonomies but not necessarily regulatory organization systems. To help browsing of regulations by industry practitioners, we propose to map regulations to existing industry-specific taxonomies.

A mapping from a single taxonomy to a single regulation is a trivial keyword matching task. From there, we examine techniques to map a single taxonomy to multiple regulations, as well as to map multiple taxonomies to a single regulation. Cosine similarity, Jaccard coefficient and market-basket analysis are tested to model the similarity metric between concepts from different taxonomies. Preliminary evaluations of the three metrics are performed. Examples from the building industry are drawn to illustrate the betterment of regulatory usage from the mapping between various taxonomies and regulations.


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
 
2
E. F. Begley, M. E. Palmer and K. A. Reed. Semantic Mapping Between IAI ifcXML and FIATECH AEX Models for Centrifugal Pumps, Technical, 2005.
 
3
 
4
5
 
6
J. E. Fountain. Information Institutions and Governance: Advancing a Basic Social Science Research Program for Digital Government, Technical Report, National Center for Digital Government, John F. Kennedy School of Government, Harvard University, 2002.
 
7
F. Garas and I. Hunter. "CIMSteel (Computer Integrated Manufacturing in Constructional Steelwork) - Delivering the Promise," Structural Engineering, 76 (3), pp. 43--45, 1998.
 
8
M. P. Gibbens. CalDAG 2000: California Disabled Accessibility Guidebook, Builder's Book, Canoga Park, CA, 2000.
 
9
T. Hastie, R. Tibshirani and J. H. Friedman. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Springer, New York, NY, 2001.
 
10
Industry Foundation Classes (IFC), International Alliance for Interoperability (IAI), 1997.
 
11
International Building Code 2000, International Conference of Building Officials (ICBO), Whittier, CA, 2000.
 
12
13
14
 
15
16
 
17
R. Lipman. "Mapping Between the CIMsteel Integration Standards (CIS/2) and Industry Foundation Classes (IFC) Product Model for Structural Steel," In Proceedings of the Conference on Computing in Civil and Building Engineering, Montreal, Canada, pp. 3087--3096, Jun 14--16, 2006, 2006.
 
18
 
19
P. Mitra and G. Wiederhold. "Resolving Terminological Heterogeneity in Ontologies," In Proceedings of Workshop on Ontologies and Semantic Interoperability at the 15th European Conference on Artificial Intelligence (ECAI), Lyon, France, pp. 45--50, 2002.
 
20
U. Y. Nahm, M. Bilenko and R. J. Mooney. "Two Approaches to Handling Noisy Variation in Text Mining," In Proceedings of the ICML-2002 Workshop on Text Learning, Sydney, Australia, pp. 18--27, 2002.
 
21
N. F. Noy. "Tools for Mapping and Merging Ontologies," In S. Staab and R. Stude (Eds.), Handbook on Ontologies, Springer-Verlag, pp. 365--384, 2003.
 
22
OmniClass Construction Classification System, Edition 1.0, Construction Specifications Institute (CSI), http://www.omniclass.org, 2006.
 
23
24
 
25
G. Stumme and A. Maedche. "Ontology Merging for Federated Ontologies on the Semantic Web," In Proceedings of the International Workshop on Foundations of Models for Information Integration (FMII 2001), Seattle, WA, pp. 16--18, 2001.


Collaborative Colleagues:
Chin Pang Cheng: colleagues
Gloria T. Lau: colleagues
Kincho H. Law: colleagues