Refine your search
Collections
Co-Authors
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Lad, Kalpesh
- Biological Data Integration Using Virtual Database
Abstract Views :285 |
PDF Views:6
Authors
Source
National Journal of System and Information Technology, Vol 3, No 1 (2010), Pagination: 89-95Abstract
Biological data integration is considered to be one the most important and challenging tasks in bioinformatics. The scientific achievements greatly depend on the integrated view of largely diverse set of data. Biological data reside in hundreds of database and there is no single database providing an integrated view of data. It greatly invokes the need of data integration. Though they are different approaches for data integration like data warehouse, federation, webservices; each has its own pros and cons and challenges of implementation. In this research paper, we have proposed a framework using virtual database to integrate different biological data sources.Keywords
Data Integration, Data Warehouse, Data Federation, Webservice, Virtual Database
References
- Critchlow Terence and Lacroix Zoe (2004) Bioinformatics- Managing scientific data, Morgan Kaufmann Publishers, San Francisco. pp. 1-441
- M.Y. Galperin (2007), The Molecular Biology Database Collection: 2008 Update, Nucleic Acid Research.
- C.A. Goble and R. Stevens (2001), Transparent Access to Multiple Bioinformatics Information Sources, IBM Systems Journal 40, Vol 2. pp. 532-552
- W. Zhong and P.W. Sternberg (2007), Automated Data Integration for Developmental Biological Research, Development, Vol 133, pp. 3227-38
- L.D. Stein (2003) Integrating biological databases, Nat Rev Genet, Vol 4, pp. 337-45
- M.Y. Galperin (2007) The molecular biology database collection, Nucleic Acid Research
- J. Arrais, B. Santos, J. Ferandes, L.Carreto, M.A.S. Santos and J.L. Oliveira (2007) GeneBrowser : an approach for integration and functional classification of genomic data, Journal of Integrative Bioinformatics, Vol 4
- L. Wong (2002) Technologies for integrating biological data, Brief Bioinform, Vol 3, pp. 389-404
- Joel Arrais, Joao E. Pereira, Joao Fernandes and Jose Luis Oliveira (2009) GeNs: a Biological Data Integration Platform, World Academy of Science, Engineering and Technology
- Comparative Study of Web Search Engines and User-centric Search Engine
Abstract Views :502 |
PDF Views:2
Authors
Source
National Journal of System and Information Technology, Vol 4, No 2 (2011), Pagination: 149-161Abstract
Searches of the entire World Wide Web using search engines such as Google, Yahoo!, Bing, and Ask have become an extremely common way of locating information. Search engines are providing great facilities to the Internet users to search intended information from hundreds of millions of Web pages within a part of second. Today search engines are become more powerful and efficient by using various algorithms and technologies to provide a best result which demanded by user. Search engines now provide various added services too. One more area where search engine can also improve by keeping the track of user activity and history of visited sites which help user to carry their previous visited sites among different Web browsers, now a day it is done by Web browser only. This paper presents critical comparison of various popular search engines based on added features. A detailed analysis is presented and results are provided.Keywords
Search Engine Evaluation, Search Engine Statistics, Feature Comparison, Search Engine Evaluation, World Wide WebReferences
- "Internet History - Search Engines" (from Search Engine Watch), University Leiden, Netherlands, September 2001, web: LeidenU-Archie.
- "Yahoo! And Netscape Ink International Distribution Deal"
- Goodrum, A. Spink, “Image Searching on the Exite Web search engine”, Information Processing and Management 37, 2001, pp. 295-311.
- Howe and D. Dreilinger, “SavvySearch: A Metasearch Engine That Learns Which Search Engines to Query”, AI Magazine, Vol. 18 No. 2, 1997.
- Spink, “A User Centered Approach to Evaluating Human Interaction with Web Search Engines: An Exploratory Study”, Information Processing and Management, 38 (2002) 401-426.
- Spink, D. Wolfram, B. Jansen and T. Saracevic, “Searching the Web: The Public and Their Queries”. Journal of the American Society for Information Science and Technology, Vol. 52 Issue 3, Feb. 1, 2001.
- Archive of NCSA what's new in December 1993 page
- Art of SEO Mastering Search Engine Optimization [Book- First Edition] (Chapter 1, Page 1)
- Browser Deals Push Netscape Stock Up 7.8%. Los Angeles Times. 1 April 1996
- Middleton and R. Baeza-yates, “A comparison of open source search engines,” Net Marketshare – World
- http://computer.howstuffworks.com/internet/basics/search-engine.htm [Access on Nov 2011]
- http://googleblog.blogspot.com/2008/07/we-knew-web-was-big.html
- http://news.netcraft.com/archives/2007/01/05/january_2007_web_server_ survey.html
- http://news.netcraft.com/archives/2011/01/12/january-2011-web-serversurvey- 4.html
- http://wrg.upf.edu/WRG/dctos/Middleton- Baeza.pdf. Dec. 03 2008. [Online]. Available
- http://www.budde.com.au/Research/Global-Internet-Search-Engines- Websites-Internet-User-Statistics.html
- http://www.chandlernguyen.com/2011/03/search-engine-market-shareby- country-mar-2011.html
- http://www.comscore.com/Press_Events/Press_Releases/2009/1/Global_In ternet_Audience_1_Billion
- http://www.comscore.com/Press_Events/Press_Releases/2011/5/Google_Si tes_Accounts_for_9_of_10_Searches_Conducted_in_Latin_America -- ChandlerNguyen Sun Jul 10 2011 05:07:44 GMT+0700 (SE Asia Standard Time)
- http://www.ebizmba.com/articles/search-engines(Last Updated: September 12, 2011)
- http://www.karmasnack.com/about/search-engine-market-share/
- Internet Search Engine Statistics, pwebs.net/news/wp-content /plugins /...pdf.../ kalins_pdf_create.php?
- J. Bernard and A. Spink, “A Comparison of Nine Search Engine Transaction Logs”, Information Processing and Management 42(1), pp. 248-263.
- M. Kaur, N. Bhatia and S. Singh “Web Search Engines Evaluation based on Features and end-user Experience”, International Journal of Enterprise Computing and Business Systems ISSN (Online) : 2230-8849
- P. Panigrahi “A language to create web page”, Vidyasagar University Journal of Library and Information Science; 1997; 2; p 61-70.
- S. Lawrence and C. Lee Giles, “Searching the World Wide Web”, Vol. 280 no. 5360 pp. 98-100, 3 April 1998.
- The Anatomy of a Large-Scale Hypertextual Web Search Engine, http://infolab.stanford.edu/~backrub/google.html
- Y. Rui, S. Thomas, Huang and Shih-Fu Chang, “Image Retrieval – Past, Present and Future”, Journal of Visual Communication and Image Representation, 1997, pp: 1-23.
- E-Green Revolution Through Knowledge Management In Agriculture Sector
Abstract Views :290 |
PDF Views:0
Authors
Source
National Journal of System and Information Technology, Vol 6, No 1 (2013), Pagination: 69-78Abstract
The Agriculture Sector is the backbone of the economic development of the country India. Several electronic applications in the field of agriculture help the farmer community to get in touch globally as well as locally for the entire knowledge-based information regarding the agriculture system. Knowledge Management has been imparting a lot in the sector of agriculture, which surely leads towards the e-Green Revolution. In this paper the authors have tried to show such applications and their impact on the agriculture community.