DocumentCode :
1834567
Title :
Multi-language Ontology-Based Search Engine
Author :
Zhuhadar, Leyla ; Nasraoui, Olfa ; Wyatt, Robert ; Romero, Elizabeth
Author_Institution :
Dept. of Comput. Eng. & Comput. Sci., Univ. of Louisville, Louisville, KY, USA
fYear :
2010
fDate :
10-15 Feb. 2010
Firstpage :
13
Lastpage :
18
Abstract :
One of the first Multi-Language Information Retrieval (MLIR) systems was implemented in 1969 by Gerard Salton who enhanced his SMART system to retrieve multilingual documents in two languages, English and German. However, the research field of MLIR is still struggling since the majority of information retrieval systems are monolingual and more precisely English-based, even though only 6% of the world´s population native language have as English [14]. This paper presents a Multi-Language Information Retrieval (MLIR) approach that falls into the area of Domain Specific Information Retrieval (E-learning being the domain). The approach we followed is a synergistic approach between (1) Thesaurus-based Approach and (2) Corpus-based Approach. This research has been implemented on a real platform called HyperManyMedia1 at Western Kentucky University.
Keywords :
information retrieval; information retrieval systems; natural languages; ontologies (artificial intelligence); search engines; thesauri; HyperManyMedia; SMART system; Thesaurus based approach; corpus based Approach; domain specific information retrieval; multilanguage information retrieval systems; multilanguage ontology based search engine; multilingual documents retrieval; Computer aided instruction; Computer science; Electronic learning; Information retrieval; Knowledge engineering; Natural languages; Ontologies; Search engines; System testing; Web mining; cross language; elearning; information retrieval; multi-language information retrieval; ontology; search engine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Computer-Human Interactions, 2010. ACHI '10. Third International Conference on
Conference_Location :
Saint Maarten
Print_ISBN :
978-1-4244-5693-2
Type :
conf
DOI :
10.1109/ACHI.2010.43
Filename :
5430129
Link To Document :
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