Title :
Improving Legal Ontologies through Semantic Representation of Adjectives
Author :
Bertoldi, Anderson ; Chishman, Rove
Author_Institution :
Univ. do Vale do Rio dos Sinos, Sao Leopoldo
Abstract :
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.
Keywords :
computational linguistics; information retrieval; law administration; ontologies (artificial intelligence); adjectival semantic representation; legal information retrieval; legal ontology; linguistic theory; Computer architecture; Educational institutions; Information retrieval; Joining processes; Knowledge acquisition; Law; Legal factors; Machine assisted indexing; Natural language processing; Ontologies;
Conference_Titel :
Semantic Computing, 2007. ICSC 2007. International Conference on
Conference_Location :
Irvine, CA
Print_ISBN :
978-0-7695-2997-4
DOI :
10.1109/ICSC.2007.44
