NDLI: Evaluating a Cross-Language Semantically Enriched Search Engine

Content Provider	IEEE Xplore Digital Library
Author	Zhuhadar, L. Nasraoui, O.
Copyright Year	2010
Abstract	This paper tackles the problem of a user who is capable of reading or using documents written in a specific language, but who is not fluent enough in this specific language to use the right query terms to find the document. The design of Cross-Language Information Retrieval systems started since 1969 by Gerard Salton who enhanced his SMART system to retrieve documents in multiple languages, English and Spanish; however, the translation process is still considered to be a challenging problem. This paper is devoted to the evaluation of a Cross-Language search engine that uses Natural Language Processing techniques as a means of improving the search process of documents provided by two languages, English and Spanish. The research is implemented and evaluated on a real platform HyperManyMedia at Western Kentucky University. The implementation of the Cross-Language search engine follows a synergistic approach between (1) A Thesaurus-based Approach and (2) A Corpus-based Approach. In the case of the Thesaurus-based Approach, we use a simple bilingual listing of terms, phrases, concepts, and subconcepts where the hierarchical structure of the ontology is used to define the relationship between concepts/subconcepts. Also, we use a specific terminology that captures the domain of E-learning; those terms are associated with college name, course name, and lecture name which is presented in two languages. In the case of the Corpus-based Approach, we use the Term Vector Translation approach; the goal is to find statistical information about term usage between the two languages using techniques which map sets of term weights from English to Spanish and vice-versa.
Starting Page	1074
Ending Page	1079
File Size	236272
Page Count	6
File Format	PDF
ISBN	9781424462704
e-ISBN	9781424462711
DOI	10.1109/ITNG.2010.237
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Knowledge engineering search engine Natural languages semantic web Knowledge representation information retrieval Ontologies Information retrieval Information technology evaluation Web mining Search engines Natural language processing Speech processing cross-language ontology
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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