Abstract
The vast amount of information freely available on the Web constitutes a unparalleled resource for automatic knowledge discovery and learning. In this article we propose a study on Ontology Induction for individual laws based on corpora comparison that exploits a domain corpus automatically generated from the Web; in particular we present a case study on the Italian “Legge Bassanini” (59/1997, 127/1997 - concerning the simplification and decentralization of administrative procedures).
We evaluate how the induced ontological characterizations might vary according to different factors, such as the genre (e.g. news vs. social media),the learning algorithm, the text analysis granularity, etc; the main contribution of the paper consists of highlighting the structural difference emerging from the learned predicates, and in showing how the learning mechanism might provide valuable information on how laws are perceived in different layers of the civil society.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Buitelaar, P., Cimiano, P., Magnini, B.: Ontology learning from text: methods, evaluation and applications. IOS Press, Amsterdam (2005)
Everitt, B.: The Analysis of Contingency Tables, 2nd edn. Chapman and Hall, Boca Raton (1992)
Baroni, M., Bernardini, S.: BootCaT: Bootstrapping corpora and terms from the web. In: Proceedings of LREC 2004 (2004)
Rayson, P., Garside, R.: Comparing corpora using frequency profiling. In: Proceedings of Workshop on Comparing Corpora of ACL 2000, pp. 1–6 (2000)
Deerwester, S., Dumais, S.T., Furnas, G.W., Thomas, K.L., Harshman, R.: Indexing by latent semantic analysis. Journal of the American Society for Information Science (1990)
Bingham, E., Mannila, H.: Random projection in dimensionality reduction: applications to image and text data. In: Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2001)
Lin, J., Gunopulos, D.: Dimensionality Reduction by Random Projection and Latent Semantic Indexing. In: Proceedings of the Text Mining Workshop, at the 3rd SIAM International Conference on Data Mining (2003)
Turney, P.D.: Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL. In: Proceedings of the Twelfth European Conference on Machine Learning, pp. 491–502 (2001)
Baroni, M., Bisi, S.: Using cooccurrence statistics and the web to discover synonyms in a technical language. In: Proceedings of LREC 2004 (2004)
Inkpen, D.: Near-Synonym Choice in an Intelligent Thesaurus. In: Proceedings of NAACL/HLT 2007 (2007)
Maedche, E., Staab, S.: Ontology Learning for the Semantic Web. IEEE Intelligent Systems (2001)
Manzano-Macho, D., Gomez-Perez, A., Borrajo, D.: Unsupervised and Domain Independent Ontology Learning. Combining Heterogeneous Sources of Evidence. In: Proceedings of LREC 2008 (2008)
Bassanini, F.: Overview of Administrative Reform and Implementation in Italy: Organization, Personnel, Procedures and Delivery of Public Services. International Journal of Public Administration, 229–252 (2000)
Peters, W., Sagri, M.T., Tiscornia, D.: The structuring of legal knowledge in LOIS. Artificial Intelligence and Law 15(2), 117–135 (2007)
Mommers, L., Dini, L., Liebwald, D., Peters, W., Schweighofer, E., Voermans, W.J.M.: Cross–lingual legal information retrieval using a WordNet architecture. In: Proceedings of the International Conference on Artificial Intelligence and Law. ACM, New York (2005)
Sagri, M.T., Tiscornia, D., Bertagna, F.: Jur-WordNet. In: GWC 2004 Proceedings, pp. 305–310 (2004)
Boella, G., van der Torre, L.: A Foundational Ontology of Organizations and Roles. In: Baldoni, M., Endriss, U. (eds.) DALT 2006. LNCS (LNAI), vol. 4327, pp. 78–88. Springer, Heidelberg (2006)
Shaheed, J., Yip, A., Cunningham, J.: A top-level language-biased legal ontology. In: Proceedings of the ICAIL Workshop on Legal Ontologies and Artificial Intelligence Techniques, LOAIT (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Bosca, A., Dini, L. (2010). Ontology Based Law Discovery. In: Francesconi, E., Montemagni, S., Peters, W., Tiscornia, D. (eds) Semantic Processing of Legal Texts. Lecture Notes in Computer Science(), vol 6036. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12837-0_7
Download citation
DOI: https://doi.org/10.1007/978-3-642-12837-0_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12836-3
Online ISBN: 978-3-642-12837-0
eBook Packages: Computer ScienceComputer Science (R0)