Knowledge-based systems and legal applications
Knowledge-based systems and legal applications
Fast and effective text mining using linear-time document clustering
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Improving the representation of legal case texts with information extraction methods
Proceedings of the 8th international conference on Artificial intelligence and law
Automatic text representation, classification and labeling in European law
Proceedings of the 8th international conference on Artificial intelligence and law
A machine learning approach to prior case retrieval
Proceedings of the 8th international conference on Artificial intelligence and law
Automatic discovery of similarity relationships through Web mining
Decision Support Systems - Web retrieval and mining
A software infrastructure for regulatory information management and compliance assistance
A software infrastructure for regulatory information management and compliance assistance
Logic-based regulation compliance-assistance
ICAIL '03 Proceedings of the 9th international conference on Artificial intelligence and law
A comparative analysis framework for semi-structured documents, with applications to government regulations
An algebraic framework for the interoperation of ontologies
An algebraic framework for the interoperation of ontologies
Legal information retrieval and application to e-rulemaking
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
Effective organization and visualization of web search results
IMSA'06 Proceedings of the 24th IASTED international conference on Internet and multimedia systems and applications
Regulation retrieval using industry specific taxonomies
Artificial Intelligence and Law
| Hi-index | 0.00 |
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.