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Relating taxonomies with regulations
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dg.o; Vol. 289 archive
Proceedings of the 2008 international conference on Digital government research table of contents
Montreal, Canada
SESSION: Research papers and management, case study & policy papers: regulations and laws table of contents
Pages 34-43  
Year of Publication: 2008
ISBN:978-1-60558-099-9
Authors
Chin Pang Cheng  Stanford University, Stanford, CA
Jiayi Pan  Stanford University, Stanford, CA
Gloria T. Lau  Stanford University, Stanford, CA
Kincho H. Law  Stanford University, Stanford, CA
Albert Jones  NIST, Gaithersburg, MD
Sponsors
: Routledge
: Elsevier
: Springer
: Cefrio
NCDG : National Center for Digital Government
Publisher
Bibliometrics
Downloads (6 Weeks): 5,   Downloads (12 Months): 46,   Citation Count: 1
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ABSTRACT

Increasingly, taxonomies are being developed for a wide variety of industrial domains and specific applications within those domains. These industry or application specific taxonomies attempt to represent the vocabularies commonly used by the practitioners. These formal representations have the potential to automate information retrieval, facilitate interoperability and improve decision making. Decisions made must comply with existing government regulations and codes of practices, which are not always known to the industry practitioners. Although regulations and codes are now in digital forms and are often available online, it remains difficult to search for relevant regulatory information that are applicable to particular decisions. As industry practitioners, unlike legal practitioners, are familiar with one or more industry-specific taxonomies but not necessarily regulatory organization systems, it would be desirable to relate regulations with existing industry-specific taxonomies.

The mapping from a single taxonomy to a single regulation is a trivial keyword matching task. In this paper, we examine techniques to map a single taxonomy to multiple regulations, as well as to map multiple taxonomies to a single regulation. Those techniques include cosine similarity, Jaccard coefficient and market-basket analysis. These techniques provide a metric that measures the similarity between concepts from different taxonomies. Preliminary evaluations of the three metrics are performed using examples from the building industry. These examples illustrate the potential regulatory benefits from the mapping between various taxonomies and regulations.


REFERENCES

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Collaborative Colleagues:
Chin Pang Cheng: colleagues
Jiayi Pan: colleagues
Gloria T. Lau: colleagues
Kincho H. Law: colleagues
Albert Jones: colleagues