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Mining of Web Resources Mining of Web Resources By By Dr. S. Srinivasaragavan Dr. S. Srinivasaragavan & & Mr. M. Surulinathi Mr. M. Surulinathi Department of Library & Department of Library & Information Science Information Science du_title.jp
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Page 1: Mining of Web Resources By Dr. S. Srinivasaragavan & Mr. M. Surulinathi Department of Library & Information Science.

Mining of Web ResourcesMining of Web Resources

ByByDr. S. Srinivasaragavan Dr. S. Srinivasaragavan

& & Mr. M. SurulinathiMr. M. Surulinathi

Department of Library & Information ScienceDepartment of Library & Information Science

bdu_title.jpg

Page 2: Mining of Web Resources By Dr. S. Srinivasaragavan & Mr. M. Surulinathi Department of Library & Information Science.

What is Mining?What is Mining?

• MiningMining, the extraction of information from , the extraction of information from large databases, is a powerful new large databases, is a powerful new technology with great potential to help technology with great potential to help professionals focus on the most professionals focus on the most important information in their data important information in their data warehouseswarehouses..

Page 3: Mining of Web Resources By Dr. S. Srinivasaragavan & Mr. M. Surulinathi Department of Library & Information Science.

What is a search strategy?What is a search strategy?

Planning Planning how to look for information. how to look for information.

          A well designed search strategy: A well designed search strategy:

              Saves timeSaves time

              Allows search in many different databasesAllows search in many different databases

Helps find relevant informationHelps find relevant information

Page 4: Mining of Web Resources By Dr. S. Srinivasaragavan & Mr. M. Surulinathi Department of Library & Information Science.

Basic Search Strategy: The Ten StepsBasic Search Strategy: The Ten Steps

Following the steps will also ensure good results if Following the steps will also ensure good results if your search is multifaceted and you want to get the your search is multifaceted and you want to get the most relevant results. most relevant results.

• Identify the important concepts of your search. Identify the important concepts of your search. • Choose the keywords that describe these concepts. Choose the keywords that describe these concepts. • Determine whether there are synonyms, related terms, Determine whether there are synonyms, related terms,

or other variations of the keywords that should be or other variations of the keywords that should be included. included.

• Determine which search features may apply, including Determine which search features may apply, including truncation, proximity operators, Boolean operators, truncation, proximity operators, Boolean operators, and so forth.. and so forth..

Page 5: Mining of Web Resources By Dr. S. Srinivasaragavan & Mr. M. Surulinathi Department of Library & Information Science.

Cont…Cont…

• Choose a search engine/Database. Choose a search engine/Database. • Read the search instructions on the search Read the search instructions on the search

engine's home page. Look for sections entitled engine's home page. Look for sections entitled "Help," "Advanced Search," "Frequently Asked "Help," "Advanced Search," "Frequently Asked Questions," and so forth. Questions," and so forth.

• Evaluate the results. How many hits were Evaluate the results. How many hits were returned? Were the results relevant to your returned? Were the results relevant to your query? query?

Page 6: Mining of Web Resources By Dr. S. Srinivasaragavan & Mr. M. Surulinathi Department of Library & Information Science.

Search StrategiesSearch Strategies• Boolean OperatorsBoolean Operators• TruncationsTruncations• Wild CardsWild Cards• Domain SearchDomain Search• Phrase SearchPhrase Search• NEARNEAR• ParenthesesParentheses• LimitingLimiting• Synonym SearchSynonym Search• Dictionary Definitions etc., Dictionary Definitions etc.,

Page 7: Mining of Web Resources By Dr. S. Srinivasaragavan & Mr. M. Surulinathi Department of Library & Information Science.

Boolean OperatorBoolean Operator – AND – AND

• AND is the small overlap where both terms AND is the small overlap where both terms occuroccur

• Indicates that only those Web pages that have Indicates that only those Web pages that have both words in them will be retrieved or will both words in them will be retrieved or will result in Web pages that have either termresult in Web pages that have either term

Example: Example:

““Global Warming” AND “Sea level rising”Global Warming” AND “Sea level rising”

Page 8: Mining of Web Resources By Dr. S. Srinivasaragavan & Mr. M. Surulinathi Department of Library & Information Science.

Boolean OperatorBoolean Operator – OR – OR

• OR allows more than one term OR allows more than one term • OR requires at least one of the terms joined by it

to appear somewhere in the document in any order.

Example

““Digital Library” or “Electronic Library”Digital Library” or “Electronic Library”

Page 9: Mining of Web Resources By Dr. S. Srinivasaragavan & Mr. M. Surulinathi Department of Library & Information Science.

Boolean OperatorBoolean Operator – NOT – NOT

• Excludes documents containing whatever Excludes documents containing whatever follows it. follows it.

Example:Example:

Global Warming NOT Srilanka Global Warming NOT Srilanka

Animals NOT DogsAnimals NOT Dogs

Page 10: Mining of Web Resources By Dr. S. Srinivasaragavan & Mr. M. Surulinathi Department of Library & Information Science.

Phrase Search/Quotation SearchPhrase Search/Quotation Search

• Requires words to searched as phrase, in Requires words to searched as phrase, in the exact order you type them.the exact order you type them.

Example: Example:

“ “Digital Library” Digital Library”

“ “Global Warming” Global Warming”

Page 11: Mining of Web Resources By Dr. S. Srinivasaragavan & Mr. M. Surulinathi Department of Library & Information Science.

NEAR NEAR

• Near operator is used when we want to Near operator is used when we want to require that certain terms appear in the same require that certain terms appear in the same sentence or paragraph of the documents. sentence or paragraph of the documents.

• Requires the two phrases to occur within 16 Requires the two phrases to occur within 16 words of each other in either direction.words of each other in either direction.

Example:Example:

“ “Global Warming” NEAR “sea level rise” Global Warming” NEAR “sea level rise”

Page 12: Mining of Web Resources By Dr. S. Srinivasaragavan & Mr. M. Surulinathi Department of Library & Information Science.

ParenthesesParentheses ( ) ( )

• Parentheses also must be used with Parentheses also must be used with NEARNEAR

Example: Example:

(“Global Warming” NEAR “Sea level rise”) (“Global Warming” NEAR “Sea level rise”) AND (California OR “Pacific coast”)AND (California OR “Pacific coast”)

Page 13: Mining of Web Resources By Dr. S. Srinivasaragavan & Mr. M. Surulinathi Department of Library & Information Science.

Domain SearchDomain Search

• To search only within one specific website To search only within one specific website by entering the search terms you're looking by entering the search terms you're looking for, followed by the word "site" and a colon for, followed by the word "site" and a colon followed by the domain name. followed by the domain name.

• For example, here's how you'd find For example, here's how you'd find admission information on bdu site:admission information on bdu site:

Admission Site: Admission Site: www.bdu.ac.inwww.bdu.ac.in

Page 14: Mining of Web Resources By Dr. S. Srinivasaragavan & Mr. M. Surulinathi Department of Library & Information Science.

Truncation SearchingTruncation Searching• Truncation allows the computer to search for multiple Truncation allows the computer to search for multiple

forms of a word.forms of a word.

• EXAMPLE:EXAMPLE: music* will retrieve as: music* will retrieve as: musical, musician, musicians, musicality, music'smusical, musician, musicians, musicality, music's• bank* will retrieve as : bank* will retrieve as : bank or banks or banking or banker or bankruptcy, etc.bank or banks or banking or banker or bankruptcy, etc. Librar* will retrieve as: Librar* will retrieve as: Library, Librarian, Libraries, Librarianship, LibrariansLibrary, Librarian, Libraries, Librarianship, Librarians

Page 15: Mining of Web Resources By Dr. S. Srinivasaragavan & Mr. M. Surulinathi Department of Library & Information Science.

Wild CardsWild Cards

• Some databases allow for wild cards to Some databases allow for wild cards to be embedded within a word to replace a be embedded within a word to replace a single character. For instance, in single character. For instance, in InfoTrac, you can also use the question InfoTrac, you can also use the question mark (mark (??) within a word to replace a ) within a word to replace a character. character.

For example:For example: wom?n wom?n will retrievewill retrieve woman or women woman or women

Page 16: Mining of Web Resources By Dr. S. Srinivasaragavan & Mr. M. Surulinathi Department of Library & Information Science.

Limiting Limiting

• Limiting by Date, Language, fileformate Limiting by Date, Language, fileformate etc.,etc.,

Digital Library + PDFDigital Library + PDF

Semantic Web + PPTSemantic Web + PPT

Web Technology + htmlWeb Technology + html

Page 17: Mining of Web Resources By Dr. S. Srinivasaragavan & Mr. M. Surulinathi Department of Library & Information Science.

Synonym SearchSynonym Search

• If you want to search not only for your If you want to search not only for your search term but also for its synonyms, search term but also for its synonyms, place the tilde sign (~) immediately in place the tilde sign (~) immediately in front of your search term. front of your search term.

Example: Example:

~ Fast Food~ Fast Food

Page 18: Mining of Web Resources By Dr. S. Srinivasaragavan & Mr. M. Surulinathi Department of Library & Information Science.

Dictionary DefinitionsDictionary Definitions

• To see a definition for a word or phrase, To see a definition for a word or phrase, simply type the word "define" then a space, simply type the word "define" then a space, then the word(s) you want defined. To see a then the word(s) you want defined. To see a list of different definitions from various list of different definitions from various online sources. online sources.

• Example: Example:

Define: Virtual LibraryDefine: Virtual Library

Page 19: Mining of Web Resources By Dr. S. Srinivasaragavan & Mr. M. Surulinathi Department of Library & Information Science.

Free Web Resources on InternetFree Web Resources on Internet

• E-Journals E-Journals • E-BooksE-Books• Electronic Theses and DissertationsElectronic Theses and Dissertations• Bibliographic DatabasesBibliographic Databases• Scholarly PublicationsScholarly Publications• Video sharing Web Sites etc., Video sharing Web Sites etc.,

Page 20: Mining of Web Resources By Dr. S. Srinivasaragavan & Mr. M. Surulinathi Department of Library & Information Science.

E-BooksE-Books

• Guttenberg - Guttenberg - http://http://www.gutenberg.org/wiki/Main_Pagewww.gutenberg.org/wiki/Main_Page

• O'Reilly's CD bookshelfO'Reilly's CD bookshelf - - http://http://docstore.mik.ua/orellydocstore.mik.ua/orelly//

• Google -Google - http://docstore.mik.ua/orelly/ http://docstore.mik.ua/orelly/• Childrens Books -Childrens Books - http://http://

en.childrenslibrary.orgen.childrenslibrary.org//• DLI -DLI - http://en.childrenslibrary.org/ http://en.childrenslibrary.org/

Page 21: Mining of Web Resources By Dr. S. Srinivasaragavan & Mr. M. Surulinathi Department of Library & Information Science.

Electronic theses and DissertationsElectronic theses and Dissertations

• Scirus ETD – Scirus ETD – http://www.ndltd.org/serviceproviders/scirus-ethttp://www.ndltd.org/serviceproviders/scirus-etd-searchd-search

• Open Thesis - Open Thesis - http://http://www.openthesis.orgwww.openthesis.org//• Australian digital Thesis - Australian digital Thesis - http://http://adt.caul.edu.auadt.caul.edu.au

//• Vidyanidhi - Vidyanidhi - http://http://www.vidyanidhi.org.inwww.vidyanidhi.org.in//• INFLIBNET – INFLIBNET –

indcat.inflibnet.ac.in/indcat/thesis.jspindcat.inflibnet.ac.in/indcat/thesis.jsp• Indian Institute of Science – Indian Institute of Science – http://http://

etd.iisc.ernet.inetd.iisc.ernet.in

Page 22: Mining of Web Resources By Dr. S. Srinivasaragavan & Mr. M. Surulinathi Department of Library & Information Science.

E-JournalsE-Journals• Indian Academy of Sciences -Indian Academy of Sciences - http://http://

www.ias.ac.inwww.ias.ac.in//• NISCAIR Journals -NISCAIR Journals -

http://www.niscair.res.in/sciencecommunicatiohttp://www.niscair.res.in/sciencecommunication/ResearchJournals/rejour/rejour1.htmn/ResearchJournals/rejour/rejour1.htm

• DOAJ DOAJ -- www.doaj.orgwww.doaj.org//• Stanford University Journals -Stanford University Journals - http://http://

highwire.stanford.edu/lists/freeart.dtlhighwire.stanford.edu/lists/freeart.dtl• Free Medical Journals -Free Medical Journals - http://http://

www.freemedicaljournals.comwww.freemedicaljournals.com//• InfolibrarianInfolibrarian• http://www.infolibrarian.com/eart.htm#eletonichttp://www.infolibrarian.com/eart.htm#eletonic

Page 23: Mining of Web Resources By Dr. S. Srinivasaragavan & Mr. M. Surulinathi Department of Library & Information Science.

Scholarly PublicationsScholarly Publications • Indian Academy of Sciences - Indian Academy of Sciences - http://http://www.ias.ac.inwww.ias.ac.in//

• NISCAIR Journals -NISCAIR Journals - http://www.niscair.res.in/sciencecommunication/Rhttp://www.niscair.res.in/sciencecommunication/ResearchJournals/rejour/rejour1.htmesearchJournals/rejour/rejour1.htm

• DOAJ -DOAJ - www.doaj.orgwww.doaj.org//• Stanford University Journals - Stanford University Journals - http://http://highwire.stanford.edu/lists/freeart.dtlhighwire.stanford.edu/lists/freeart.dtl

• Free Medical Journals - Free Medical Journals - http://http://www.freemedicaljournals.comwww.freemedicaljournals.com//

• http://www.infolibrarian.com/eart.htm#eletonichttp://www.infolibrarian.com/eart.htm#eletonic

Page 24: Mining of Web Resources By Dr. S. Srinivasaragavan & Mr. M. Surulinathi Department of Library & Information Science.

Bibliographic DatabasesBibliographic Databases

• Pubmed Pubmed

www.ncbi.nlm.nih.gov/pubmedwww.ncbi.nlm.nih.gov/pubmed

• LISTA LISTA

http://http://www.libraryresearch.comwww.libraryresearch.com//

Page 25: Mining of Web Resources By Dr. S. Srinivasaragavan & Mr. M. Surulinathi Department of Library & Information Science.

Subscribed Web ResourcesSubscribed Web Resources

• E-booksE-books• E-JournalsE-Journals• Bibliographic DatabasesBibliographic Databases• Numeric DatabasesNumeric Databases• Aggregators Databases (EBSCO)Aggregators Databases (EBSCO)• ProtocolsProtocols• Patents and StandardsPatents and Standards

Page 26: Mining of Web Resources By Dr. S. Srinivasaragavan & Mr. M. Surulinathi Department of Library & Information Science.

E-Books E-Books

• E-libraryE-library• SpringerSpringer• Elsevier ScienceElsevier Science• EngNetBaseEngNetBase• Oxford University PressOxford University Press• Sage etc., Sage etc.,

Page 27: Mining of Web Resources By Dr. S. Srinivasaragavan & Mr. M. Surulinathi Department of Library & Information Science.

E-JournalsE-Journals

• SpringerSpringer• EmeraldEmerald• Elsevier ScienceElsevier Science• ACSACS• Wiley PublicationsWiley Publications• JSTORJSTOR• Blackwell etc.,Blackwell etc.,

Page 28: Mining of Web Resources By Dr. S. Srinivasaragavan & Mr. M. Surulinathi Department of Library & Information Science.

Bibliographic DatabasesBibliographic Databases

• Web of ScienceWeb of Science• ScopusScopus• INSPEC and COMPEDEXINSPEC and COMPEDEX• MathscinetMathscinet• Biosis and Biosis and • Scifinder Scholar etc., Scifinder Scholar etc.,

Page 29: Mining of Web Resources By Dr. S. Srinivasaragavan & Mr. M. Surulinathi Department of Library & Information Science.

UGC-INFONET Digital Library UGC-INFONET Digital Library

Consortium Resources at BDU LibraryConsortium Resources at BDU Library • American Chemical Society American Chemical Society January 2009 to January 2009 to

December 2009December 2009American Institute of Physics American Institute of Physics January 2009 to January 2009 to December 2009December 2009American Physical Society American Physical Society January 2009 to January 2009 to December 2009December 2009Annual Reviews Annual Reviews April 2007 to March 2008April 2007 to March 2008

• Biological Abstract Biological Abstract July 2007 to June 2008July 2007 to June 2008Blackwell Publishing Blackwell Publishing April 2008 to March 2009April 2008 to March 2009

Page 30: Mining of Web Resources By Dr. S. Srinivasaragavan & Mr. M. Surulinathi Department of Library & Information Science.

• Cambridge University Press Cambridge University Press January 2009 to January 2009 to December 2009December 2009Institute of Physics Institute of Physics January 2009 to December January 2009 to December 20092009ISID ISID April 2008 to march 2009April 2008 to march 2009JCCC JCCC January 2009 to December 2009January 2009 to December 2009Oxford University Press Oxford University Press April 2008 to march 2009April 2008 to march 2009Project Muse Project Muse January 2009 to December 2009January 2009 to December 2009Royal Society of Chemistry Royal Society of Chemistry January 2009 to January 2009 to December 2009December 2009SIAM SIAM January 2008 to December 2008January 2008 to December 2008Springer Link Springer Link January 2009 to December 2009January 2009 to December 2009Taylor & Francis Taylor & Francis January 2009 to December 2009January 2009 to December 2009

Page 31: Mining of Web Resources By Dr. S. Srinivasaragavan & Mr. M. Surulinathi Department of Library & Information Science.

Sage Publications at BDUSage Publications at BDU• China ReportChina Report

Current SociologyCurrent SociologyEnvironment and UrbanizationEnvironment and UrbanizationGender, Technology and DevelopmentGender, Technology and DevelopmentGlobal Business ReviewGlobal Business ReviewIndian Economic & Social History ReviewIndian Economic & Social History ReviewIndian Journal of Gender StudiesIndian Journal of Gender StudiesInternational Social WorkInternational Social WorkJournal of EntrepreneurshipJournal of EntrepreneurshipJournal of Health ManagementJournal of Health ManagementJournal of Social WorkJournal of Social WorkScience Technology & SocietyScience Technology & SocietySociologySociologySouth Asian SurveySouth Asian SurveySouth Asia Economic JournalSouth Asia Economic JournalStudies in History Studies in History

Page 32: Mining of Web Resources By Dr. S. Srinivasaragavan & Mr. M. Surulinathi Department of Library & Information Science.

WeblogWeblog

• Bharathidasan UniversityBharathidasan University

http://librarybdu.blogspot.comhttp://librarybdu.blogspot.com

Page 33: Mining of Web Resources By Dr. S. Srinivasaragavan & Mr. M. Surulinathi Department of Library & Information Science.

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