This book is the result of a study path that started in 2006, when the two authors of this book
published the book Data Quality: Concepts, Methodologies and Techniques. After 8 years …

Over the last 30 years, AI & Law has provided breakthroughs in studies involving case-
based reasoning, rule-based reasoning, information retrieval and, most recently, conceptual …

A model of normative provisions and related axioms represented by using RDF (S)/OWL are
presented as a contribution to implement the semantic web in the legal domain. In particular …

Legal ontology is one of the most researched areas of Artificial Intelligence & Law, but is less
applied in the commercial world. This is mainly due to a historical focus on general purpose …

This thesis analyses the problem of building well-founded domain ontologies for reasoning
and decision support purposes. Specifically, it discusses the building of legal ontologies for …

In Chap. 2, we have considered quality dimensions for structured data. In this chapter, we
move from data quality dimensions to information quality dimensions. We will consider two …

Despite the increasing coverage, the current scenario in accessing legal information shows
a proliferation of different points of access delivering heterogeneous data, organized …

Le but essentiel de la thèse est de développer une ontologie juridique bien fondée pour
l'utiliser dans le raisonnement à base des règles. Pour cela, une approche middle-out …