A Development of Ontology-Based Law Retrieval System:Focused on Railroad R&D Projects

Min-Jae Won, Dong-He Kim, Hae-Min Jung, Sang Keun Lee, June Seok Hong, Wooju Kim


Research and development projects in railroad domain are different from those in other domains in terms of their close relationship with laws. Some cases are reported that new technologies from R&D projects could not be industrialized because of relevant laws restricting them. This problem comes from the fact that researchers don’t know exactly what laws can affect the result of R&D projects. To deal with this problem, we suggest a model for law retrieval system that can be used by researchers of railroad R&D projects to find related legislation. Input of this system is a research plan describing the main contents of projects. After laws related to the R&D project is provided with their rankings, which are assigned by scores we developed. A ranking of a law means its order of priority to be checked. By using this system, researchers can search the laws that may affect R&D projects throughout all the stages of project cycle. So, using our system model, researchers can get a list of laws to be considered before the project they participate ends. As a result, they can adjust their project direction by checking the law list, avoiding their elaborate projects being useless.

Full Text:



Brin, S. and Page, L., “The anatomy of a large-scale hypertextual Web search engine,” Computer Networks and ISDN Systems, Vol. 30, pp. 107-117, 1998.

Church, K. W. and Hanks, P., “Word association norms, mutual information, and lexicography,” Comput. Linguist, Vol. 16, No. 1, pp. 22-29, 1990.

Jo, D. W., Seo, M. J., and Kim, M. Ho., “A Study on Legal Information Retrieval Engine based on Ontology,” Korea Information Science Society, pp. 1568-1570, 2015.

Kim, H. L., Kim, H. G., “Personal Electronic Document Retrieval System Using Semantic Web/Ontology Technologies,” The Journal of Society for e-Business Studies, Vol. 12, No. 1, pp. 135-149, 2007.

Kim, J. H., Lee, J. S., Lee, M. J., Kim, W. J., and Hong, J. S., “Term Mapping Methodology between Everyday Words and Legal Terms for Law Information Search System,” Biblographic Info: J Intell Inform Syst, Vol. 18, No. 3, pp. 137-152, 2012.

Lame, G., “Using NLP Techniques to Identify Legal Ontology Components : Concepts and Relations,” Artificial Intelligence and Law, Vol. 12, No. 4, pp. 169-184, 2005.

Mitschick, A., “Ontology-based Indexing and Contextualization of Multimedia Documents for Personal Information Management Applications,” International Journal on Advances in Software, Vol. 3, No. 1, 2 pp. 31-40, 2010.

Mun, H. J., Lee, S. J., Kim, Y. J., and Woo, Y. T., “A Personalized Concept-based Retrieval Technique Using Domain Ontology,” The Journal of Society for e-Business Studies, Vol. 12, No. 3, pp. 269-282, 2007.

Rajaraman, A. and Ullman, J. D., “Data Mining,” pp. 1-17. doi:10.1017/CBO9781139058452.002. ISBN 9781139058452, 2011.

Toledo, C. M., M. A. Ale, Chiotti, O., and Galli, M. R., “An Ontology-driven Document Retrieval Strategy for Organizational Knowledge Management Systems,” Electronic Notes in Theoretical Computer Science, Vol. 281, pp. 21-34, 2011.

Yoo, D. H. and Suh, Y. M., “An Ontology-based Hotel Search System Using Semantic Web Technologies,” Society for e-Business Studies, The Journal of Society for e-Business Studies, Vol. 13, No. 4, pp. 71-92, 2008.


  • There are currently no refbacks.