NDLI: Computational Methods for Intelligent Information Access

Content Provider	IEEE Xplore Digital Library
Author	Berry, M.W. Dumais, S.T. Letsche, T.A.
Copyright Year	1995
Description	Author affiliation: University of Tennessee (Berry, M.W.)
Abstract	Currently, most approaches to retrieving textual materials from scientific databases depend on a lexical match between words in users requests and those in or assigned to documents in a database. Because of the tremendous diversity in the words people use to describe the same document, lexical methods are necessarily incomplete and imprecise. Using the singular value decomposition (SVD), one can take advantage of the implicit higher-order structure in the association of terms with documents by determining the SVD of large sparse term by document matrices. Terms and documents represented by 200-300 of the largest singular vectors are then matched against user queries. We call this retrieval method Latent Semantic Indexing (LSI) because the subspace represents important associative relationships between terms and documents that are not evident in individual documents. LSI is a completely automatic yet intelligent indexing method, widely applicable, and a promising way to improve users access to many kinds of textual materials, or to documents and services for which textual descriptions are available. A survey of the computational requirements for managing LSI-encoded databases as well as current and future applications of LSI is presented.
Starting Page	20
Ending Page	20
File Size	447292
Page Count	1
File Format	PDF
ISBN	0897918169
DOI	10.1109/SUPERC.1995.242666
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-12-08
Access Restriction	Subscribed
Rights Holder	Association for Computing Machinery, Inc. (ACM)
Subject Keyword	Computational intelligence Databases Indexing Large scale integration Computer science Information retrieval Singular value decomposition Matrix decomposition Sparse matrices Information science updating indexing information latent matrices retrieval semantic singular value decomposition sparse
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Concept Based Search Using LSI and Automatic Keyphrase Extraction

Using Linear Algebra for Intelligent Information Retrieval

Updating the partial singular value decomposition in latent semantic indexing.

Similarity-based matrix completion algorithm for latent semantic indexing

Distributed information management in the National HPCC Software Exchange

Audio Clips Content Comparison Using Latent Semantic Indexing

The limitation of the SVD for latent semantic indexing

On Updating Problems in Latent Semantic Indexing

Supervised latent semantic indexing for document categorization

Computational Methods for Intelligent Information Access

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Similarity-based matrix completion algorithm for latent semantic indexing

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The limitation of the SVD for latent semantic indexing

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Computational Methods for Intelligent Information Access