NDLI: Research on Novel Methodology for Documentation Taxonomy for English IDIOLECT to GAIN Lesser Ambiguity Results

Content Provider	IEEE Xplore Digital Library
Author	Lohi, S.A. Motwani, A.
Copyright Year	2014
Abstract	Information in the form of textual documents would have a huge growth due to the factors like digitization of libraries, exponential rise in internet usage, use of e-mail for various reasons, acceptability of soft copies for many works even critical financial work and other things. In view of these reasons, this paper discusses a new approach for Documentation Taxonomy (DT) based on combining efficient algorithms to be used for english language. The important aspect of automatically classifying and providing taxonomy to a set of documents into any taxonomical structure with the help of predefined categories is termed as Documentation Taxonomy. Automated Documentation Taxonomy is gaining prominence since it frees organizations from the frantic and time consuming need of manually organizing documents. This manual process can be expensive and given the time constraints of the application or the number of documents involved, simply not feasible. In terms of accuracy, modern documentation taxonomy systems proves better than that of trained human professionals, which is made possible by a combination of information retrieval technology and machine learning technology. This research put forwards a mechanism that shows that the use of combination of different algorithms brings down the ambiguity in taxonomical issues. There are numerable useful applications of this approach spanning various scientific and general fields of work.
Sponsorship	IEEE Comput. Soc.
Starting Page	369
Ending Page	372
File Size	6255581
Page Count	4
File Format	PDF
e-ISBN	9781479930708
DOI	10.1109/CSNT.2014.79
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-04-07
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Documentation Taxonomy Pair-relation Communication systems Space Reduction Deductive Inference Lazy Evaluation Method (Fast-KNN)
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
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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