Ontology learning from Italian legal texts

Authors:
Alessandro Lenci;Simonetta Montemagni;Vito Pirrelli;Giulia Venturi
Affiliations:
Dipartimento di Linguistica --Università di Pisa (Italy);Istituto di Linguistica Computazionale (CNR, Pisa, Italy);Istituto di Linguistica Computazionale (CNR, Pisa, Italy);Istituto di Linguistica Computazionale (CNR, Pisa, Italy)
Venue:
Proceedings of the 2009 conference on Law, Ontologies and the Semantic Web: Channelling the Legal Information Flood
Year:
2009

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Abstract

The paper reports on the methodology and preliminary results of a case study in automatically extracting ontological knowledge from Italian legislative texts. We use a fully--implemented ontology learning system (T2K) that includes a battery of tools for Natural Language Processing (NLP), statistical text analysis and machine language learning. Tools are dynamically integrated to provide an incremental representation of the content of vast repositories of unstructured documents. Evaluated results, however preliminary, show the great potential of NLP--powered incremental systems like T2K for accurate large--scale semi--automatic extraction of legal ontologies.