Title :
An Ontology Based Approach to Multilingual Information Retrieval
Author_Institution :
Artificial Intelligence Div., Res. Center on Sci. & Tech. Inf., Algiers
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;
Conference_Titel :
Information and Communication Technologies, 2006. ICTTA '06. 2nd
Conference_Location :
Damascus
Print_ISBN :
0-7803-9521-2
DOI :
10.1109/ICTTA.2006.1684647
