NDLI: Ontology based web search results visualization using BSDSC

Content Provider	IEEE Xplore Digital Library
Author	Jayanthi, S.K. Prema, S.
Copyright Year	2011
Description	Author affiliation: Department of Computer Science, Vellalar College for Women (Autonomous), Erode, Tamilnadu, India (Jayanthi, S.K.) \|\| Department of Computer Science, K.S.R. College of Arts and Science, Tiruchengode, Namakkal district, Tamilnadu, India (Prema, S.)
Abstract	In a scenario where WWW has become more important every day, to have a clear and well organized web site has become one of the vital goals of enterprises and organizations on the Web. On enterprises' side goals are make more profits by reducing costs or increasing incomes. In the case of content-based web sites their goals is to spread its contents among web users. An automatic ontology learning method is developed for the search engine result analysis, which trains ontology with world knowledge of hundreds of different subjects in a multilevel taxonomy. This ontology is then mined to find important classification rules, and these rules are used to perform an extensive analysis of the content of the largest general-purpose Internet search engines in use today. Instead of representing collections as a set of terms, which commonly occurs in collection selection, they are represented as a set of subjects, leading to a more robust representation of information and a decrease of synonymy. Parallelizing the web search results incorporated with Bookshelf Data Structure owe to the simplistic applicability of the aforementioned strategy, and the use of simple data structure. The method was also used to analyze the content of the most popular search engines in use today, including Google and Yahoo. In conclusion, this research paper focus on the ontology based semantic web search results visualization using BSDSC(Book Shelf Data Structure Code) based on BookShelf Data Structure. Finally, the search results are presented in visual mode, which allows a user to navigate between extracted schemas.
Starting Page	315
Ending Page	319
File Size	409263
Page Count	5
File Format	PDF
ISBN	9781424486786
e-ISBN	9781424486793
DOI	10.1109/ICECTECH.2011.5941911
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-08
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Semantic Web Visualization Data visualization Book Shelf Data Structure BSDC (Book Shelf Data Structure Code) Code Ontologies Search engines Web-Mining Data structures Information Retrieval Parallel clustering
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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