DocumentCode
456497
Title
An Ontology Based Approach to Multilingual Information Retrieval
Author
Aliane, Hassina
Author_Institution
Artificial Intelligence Div., Res. Center on Sci. & Tech. Inf., Algiers
Volume
1
fYear
0
fDate
0-0 0
Firstpage
1732
Lastpage
1737
Abstract
Today, to effectively meet the needs of users, multilingual information retrieval is an important issue regarding to the continually increasing volume of information in various languages. This paper addresses indexing and retrieval in a trilingual corpus: Arabic, French, English. The proposed system is founded on a knowledge representation formalism, namely semantic graphs which supports a domain ontology. Documents and queries are also represented in this formalism. The domain ontology constitutes the kernel of the system and is used both for indexing and retrieval
Keywords
indexing; information retrieval; natural languages; ontologies (artificial intelligence); domain ontology; indexing; knowledge representation; multilingual information retrieval; semantic graphs; Artificial intelligence; Content based retrieval; Data mining; Indexing; Information retrieval; Kernel; Knowledge based systems; Knowledge representation; Natural languages; Ontologies;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Communication Technologies, 2006. ICTTA '06. 2nd
Conference_Location
Damascus
Print_ISBN
0-7803-9521-2
Type
conf
DOI
10.1109/ICTTA.2006.1684647
Filename
1684647
Link To Document