Paper Info
Title
CrimAr: A Criminal Arabic Ontology for a Benchmark Based Evaluation.
Abstract
Recently, ontologies have become more important in modern Semantic Web as they capture knowledge in a particular domain of interest. Indeed, they emphasize interoperability and establish a common shared understanding among the involved actors of web-based applications. Nevertheless, in parallel with the abundance of the proposed approaches for ontology learning, a related problem of the evaluation of such automatically generated ontologies is emerging in different domains. In the Arabic legal domain, a benchmark golden ontology is so necessary in order to assess the good quality of the (semi-)automatic learned ontologies. In this paper, we introduce CrimAr, a handcrafted ontology based on the top-levels of LRI-Core, to represent all relevant knowledge in the Arabic legal domain, especially the criminal matter. The use of CrimAr is also demonstrated in a real case evaluation.
Year
DOI
Venue
2017
10.1016/j.procs.2017.08.113
Procedia Computer Science
Keywords
Field
DocType
Legal ontology,Ontology evaluation,Arabic legal texts,LRI-Core
Ontology (information science),Data mining,Ontology-based data integration,Ontology alignment,Process ontology,Computer science,Natural language processing,Artificial intelligence,Suggested Upper Merged Ontology,Upper ontology,Ontology components,Ontology learning
Conference
Volume
ISSN
Citations 
112
1877-0509
0
PageRank 
References 
Authors
0.34
5
2
Name
Order
Citations
PageRank
Imen Bouaziz Mezghanni172.27
Faïez Gargouri224492.29