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Improving Legal Ontologies through Semantic Representation of Adjectives
By: Bertoldi, A.; Chishman, R.;
2007 / IEEE / 0-7695-2997-6
Description
This item was taken from the IEEE Conference ' Improving Legal Ontologies through Semantic Representation of Adjectives ' The research reported here results from a master's thesis project developed in the scope of SEMANTEC, DIRPI and LOIS projects. The aim of our research was to show what kind of semantic information was carried by adjectives and how this information could improve legal ontologies and legal information retrieval. In this paper we will discuss the main results related to the development of this research. We combine different linguistic theories to approach adjectival semantics. As result of this research, we propose five different adjectival groups. Each group has a specific semantic behavior and can contribute in different ways to legal information retrieval.
Related Topics
Information Retrieval
Law Administration
Linguistic Theory
Legal Ontology
Adjectival Semantic Representation
Law
Legal Factors
Ontologies
Information Retrieval
Educational Institutions
Natural Language Processing
Knowledge Acquisition
Machine Assisted Indexing
Joining Processes
Computer Architecture
Computational Linguistics
Ontologies (artificial Intelligence)
Engineering
Legal Information Retrieval