NDLI: Measuring the representativeness of index terms in literary texts: an experiment on the Quran

Content Provider	IEEE Xplore Digital Library
Author	Hayati Abd Rahman, Shahrul Azman Noah, Jimenez-Salazar, Hector
Copyright Year	2008
Description	Author affiliation: Dept. de Tecnologías de la Información, Universidad Autónoma Metropolitana, Cuajimalpa, México DF 11850, Mexico (Jimenez-Salazar, Hector) \|\| Faculty of Information Science and Technology, National University of Malaysia, 43600 Bangi, Malaysia (Hayati Abd Rahman,; Shahrul Azman Noah,)
Abstract	Concept hierarchy is a hierarchically organized collection of domain concepts. It is particularly useful in many applications such as information retrieval, document browsing and document classification. One of the important tasks in the construction of concept hierarchy is the identification of suitable terms with appropriate size of domain vocabulary. One way of achieving such a size is by using term reduction. The aim of this paper is to examine the effectiveness of the reduction approach to reduce the size of vocabulary using term selection methods. An experiment has been conducted on the Quran which is assumed to be a literary text. The experiment compares the entropy method, the transition point method and the hybrid of transition point and entropy methods with the Vector Space Model (VSM). Results indicate the effectiveness of the Transition Point method as compared to the others in reducing the size of the vocabulary but at the same time preserve those important terms that exist in the literary documents.
Starting Page	1
Ending Page	5
File Size	178617
Page Count	5
File Format	PDF
ISBN	9781424423279
DOI	10.1109/ITSIM.2008.4631699
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-08-26
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vocabulary Text categorization Information retrieval Frequency conversion Entropy Indexes Data mining
Content Type	Text
Resource Type	Article

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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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