Random projection in dimensionality reduction: applications to image and text data
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Ontology Learning for the Semantic Web
IEEE Intelligent Systems
Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
Cross-lingual legal information retrieval using a WordNet architecture
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
The structuring of legal knowledge in LOIS
Artificial Intelligence and Law - Legal knowledge extraction and searching & legal ontology applications
Comparing corpora using frequency profiling
CompareCorpora '00 Proceedings of the Workshop on Comparing Corpora
A foundational ontology of organizations and roles
DALT'06 Proceedings of the 4th international conference on Declarative Agent Languages and Technologies
Automatic gazetteer generation from wikipedia
NLP4DL'09/AT4DL'09 Proceedings of the 2009 international conference on Advanced language technologies for digital libraries
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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.