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FederatedFederated Search EnginesSearch Engines
Paper presented at seminar onPaper presented at seminar on
SEARCH ENGINES AND DATABASESSEARCH ENGINES AND DATABASES
ByBy
Mrs. Shakuntala NighotMrs. Shakuntala Nighot
2009-20102009-2010
SHPT School of Library Science
S.N.D.T. Women’s University
Mumbai 400 020
Under Guidance of
Dr. Sarika Sawant
OutlineOutline
Definition- Federated searchDefinition- Federated search
Need for Search EnginesNeed for Search Engines
What is Deep Web?What is Deep Web?
Google search vs. Federated SearchGoogle search vs. Federated Search
Need For Federated Search EnginesNeed For Federated Search Engines
Features, Limitations, Examples of Federated Search EnginesFeatures, Limitations, Examples of Federated Search Engines
Criteria for Selecting Best Federated Search EngineCriteria for Selecting Best Federated Search Engine
MetaLib Vs. WebFeat- A comparative StudyMetaLib Vs. WebFeat- A comparative Study
ConclusionConclusion
2205/21/1305/21/13 SHPT School Of Library ScienceSHPT School Of Library Science
Definition - Federated SearchDefinition - Federated Search
““Federated search is the process of performing aFederated search is the process of performing a
simultaneous real-time search of multiple diversesimultaneous real-time search of multiple diverse
and distributed sources from a single search page,and distributed sources from a single search page,
with the federated search engine acting aswith the federated search engine acting as
intermediary.”intermediary.” (Lederman, n,d,)(Lederman, n,d,)
3305/21/1305/21/13 SHPT School Of Library ScienceSHPT School Of Library Science
Search Engines-NeedSearch Engines-Need
A web search engine is a tool designed to search forA web search engine is a tool designed to search for
information on wwwinformation on www
E.g.. Yahoo, GoogleE.g.. Yahoo, Google
Need- One needs to refer the catalogue to find toNeed- One needs to refer the catalogue to find to
particular book from the vast collection of the library.particular book from the vast collection of the library.
catalogue acts as an important intermediary betweencatalogue acts as an important intermediary between
library sources and user.library sources and user.
Following the same lines, The Search engine helps theFollowing the same lines, The Search engine helps the
user to sift through ocean of knowledge on World Wideuser to sift through ocean of knowledge on World Wide
Web and to find the specific information needed.Web and to find the specific information needed.
4405/21/1305/21/13 SHPT School Of Library ScienceSHPT School Of Library Science
What is Deep Web?What is Deep Web?
5505/21/1305/21/13 SHPT School Of Library ScienceSHPT School Of Library Science
Deep Web is part of World Wide Web other than surfaceDeep Web is part of World Wide Web other than surface
web which cannot be indexed by common searchweb which cannot be indexed by common search
engines.engines.
It is 500 times surface web, Consists of Scholarly andIt is 500 times surface web, Consists of Scholarly and
research materialresearch material
Providers of such contentProviders of such content ::
Database Vendors,Database Vendors,
Commercial Publishers of full-text material,Commercial Publishers of full-text material,
LibrariesLibraries
RepositoriesRepositories
Need for Federated Search EnginesNeed for Federated Search Engines
Libraries/Institutions Procure these databasesLibraries/Institutions Procure these databases
Query Language, User interface for each of them isQuery Language, User interface for each of them is
differentdifferent
Patrons don’t prefer searching them one by one.Patrons don’t prefer searching them one by one.
Federated Search Engines offers single interface toFederated Search Engines offers single interface to
search across all resourcessearch across all resources
They give entry to the deep web while Common SearchThey give entry to the deep web while Common Search
engines Can’tengines Can’t
6605/21/1305/21/13 SHPT School Of Library ScienceSHPT School Of Library Science
Google vs. Fed. Search EngineGoogle vs. Fed. Search Engine
Google periodically visits the sites on its list andGoogle periodically visits the sites on its list and
identifies the new links at those sites. Following thoseidentifies the new links at those sites. Following those
links it arrives at new pages where it find more links. Inlinks it arrives at new pages where it find more links. In
doing this, Google discovers sites it didn’t knew tilldoing this, Google discovers sites it didn’t knew till
previous visits. And add it its databases.previous visits. And add it its databases.
Process of going from one page to another and then toProcess of going from one page to another and then to
another is referred to as “crawling,”another is referred to as “crawling,”
Deep Web content don’t have such links. Google Can’tDeep Web content don’t have such links. Google Can’t
retrieve it.retrieve it.
Federated Search Engines are programmed to fill up theFederated Search Engines are programmed to fill up the
search form for user queries, submit them to varioussearch form for user queries, submit them to various
deep web resources and to read the results from them.deep web resources and to read the results from them.
Google is not designed to fill up search formsGoogle is not designed to fill up search forms
7705/21/1305/21/13 SHPT School Of Library ScienceSHPT School Of Library Science
Federated Search Engines-FeaturesFederated Search Engines-Features
Saves Time/One Stop ShoppingSaves Time/One Stop Shopping
Quality Results –Authentic sourcesQuality Results –Authentic sources
Most current ContentMost current Content
Aggregation (Helpful Arrangement)Aggregation (Helpful Arrangement)
Relevance RankingRelevance Ranking
De-duplicationDe-duplication
Simple Search, Advance Search/ LimitersSimple Search, Advance Search/ Limiters
Clustering/ Subject GroupingClustering/ Subject Grouping 88
05/21/1305/21/13
SHPT School Of Library ScienceSHPT School Of Library Science
Federated Search Engines - LimitationsFederated Search Engines - Limitations
Doesn’t offer native searchDoesn’t offer native search
Hard to go deeper in collectionHard to go deeper in collection
Slow in Response TimeSlow in Response Time
Complete de-duping is difficultComplete de-duping is difficult
Configuring For new database- time consumingConfiguring For new database- time consuming
Changed database configuration- unsearchableChanged database configuration- unsearchable
9905/21/1305/21/13 SHPT School Of Library ScienceSHPT School Of Library Science
Some Federated Search ApplicationsSome Federated Search Applications
360 Search360 Search
DeepWebDeepWeb
LiraryFindLiraryFind
MetaLibMetaLib
Scitopeia.orgScitopeia.org
WebFeatWebFeat
WorldWideScienceWorldWideScience
101005/21/1305/21/13 SHPT School Of Library ScienceSHPT School Of Library Science
Criteria -Selecting Best FederatedCriteria -Selecting Best Federated
Search EngineSearch Engine
HostingHosting

Vendor Hosted ModelVendor Hosted Model

Locally Hosted ModelLocally Hosted Model
PricingPricing
100% database compatibility100% database compatibility
Screen Scrapping Vs. Native InterfaceScreen Scrapping Vs. Native Interface
Automatic 24*7 Monitoring and updatesAutomatic 24*7 Monitoring and updates
Custom User InterfaceCustom User Interface
Quality of ConnectorsQuality of Connectors
Relevance RankingRelevance Ranking
TrialsTrials
111105/21/1305/21/13 SHPT School Of Library ScienceSHPT School Of Library Science
MetaLib Vs WebFeatMetaLib Vs WebFeat
WebFeatWebFeat DeepWebDeepWeb
121205/21/1305/21/13 SHPT School Of Library ScienceSHPT School Of Library Science
Criteria MetaLib Webfeat
1 Shows Search Results in
2 Consistency in results
returned
3 No of databases searched
at a time
4 Option for “Search All
Databases”
5 One Stop Shopping
MetaLib Interface
Yes; All databases
have same search
default operators
Ten
No
No
Native Interface
No; All databases
searched has different
default operators
No Limit
Yes
Yes
MeaLib Vs. WebFeatMeaLib Vs. WebFeat
WebFeatWebFeat DeepWebDeepWeb
131305/21/1305/21/13 SHPT School Of Library ScienceSHPT School Of Library Science
Criteria MetaLib Webfeat
6 Speed of retrieval
7 Allows Customized
Grouping of Databases
8 Type of Hosting offered
9 At a time Searching
Capacity of Simple
Search
10 Interface Complexity
11Sorting of Records
offered
More
No
Vendor, Local both
1 Category of subject
Less
By many ways (Year,
relevance etc.)
Comparatively Less
Yes
Vendor
All Categories
More
No sorting
ConclusionConclusion
Federated search engines are powerful toolsFederated search engines are powerful tools
which can create a single gateway linking to thewhich can create a single gateway linking to the
scattered information resources, lying even inscattered information resources, lying even in
the deep web.the deep web.
It helps users to find high-quality, mostIt helps users to find high-quality, most
current ,more specialized information fromcurrent ,more specialized information from
remote corners of the Internet. Hence it’s a vitalremote corners of the Internet. Hence it’s a vital
technology in today's information agetechnology in today's information age
141405/21/1305/21/13 SHPT School Of Library ScienceSHPT School Of Library Science

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Federated Search Engines Paper: Comparison of MetaLib and WebFeat

  • 1. FederatedFederated Search EnginesSearch Engines Paper presented at seminar onPaper presented at seminar on SEARCH ENGINES AND DATABASESSEARCH ENGINES AND DATABASES ByBy Mrs. Shakuntala NighotMrs. Shakuntala Nighot 2009-20102009-2010 SHPT School of Library Science S.N.D.T. Women’s University Mumbai 400 020 Under Guidance of Dr. Sarika Sawant
  • 2. OutlineOutline Definition- Federated searchDefinition- Federated search Need for Search EnginesNeed for Search Engines What is Deep Web?What is Deep Web? Google search vs. Federated SearchGoogle search vs. Federated Search Need For Federated Search EnginesNeed For Federated Search Engines Features, Limitations, Examples of Federated Search EnginesFeatures, Limitations, Examples of Federated Search Engines Criteria for Selecting Best Federated Search EngineCriteria for Selecting Best Federated Search Engine MetaLib Vs. WebFeat- A comparative StudyMetaLib Vs. WebFeat- A comparative Study ConclusionConclusion 2205/21/1305/21/13 SHPT School Of Library ScienceSHPT School Of Library Science
  • 3. Definition - Federated SearchDefinition - Federated Search ““Federated search is the process of performing aFederated search is the process of performing a simultaneous real-time search of multiple diversesimultaneous real-time search of multiple diverse and distributed sources from a single search page,and distributed sources from a single search page, with the federated search engine acting aswith the federated search engine acting as intermediary.”intermediary.” (Lederman, n,d,)(Lederman, n,d,) 3305/21/1305/21/13 SHPT School Of Library ScienceSHPT School Of Library Science
  • 4. Search Engines-NeedSearch Engines-Need A web search engine is a tool designed to search forA web search engine is a tool designed to search for information on wwwinformation on www E.g.. Yahoo, GoogleE.g.. Yahoo, Google Need- One needs to refer the catalogue to find toNeed- One needs to refer the catalogue to find to particular book from the vast collection of the library.particular book from the vast collection of the library. catalogue acts as an important intermediary betweencatalogue acts as an important intermediary between library sources and user.library sources and user. Following the same lines, The Search engine helps theFollowing the same lines, The Search engine helps the user to sift through ocean of knowledge on World Wideuser to sift through ocean of knowledge on World Wide Web and to find the specific information needed.Web and to find the specific information needed. 4405/21/1305/21/13 SHPT School Of Library ScienceSHPT School Of Library Science
  • 5. What is Deep Web?What is Deep Web? 5505/21/1305/21/13 SHPT School Of Library ScienceSHPT School Of Library Science Deep Web is part of World Wide Web other than surfaceDeep Web is part of World Wide Web other than surface web which cannot be indexed by common searchweb which cannot be indexed by common search engines.engines. It is 500 times surface web, Consists of Scholarly andIt is 500 times surface web, Consists of Scholarly and research materialresearch material Providers of such contentProviders of such content :: Database Vendors,Database Vendors, Commercial Publishers of full-text material,Commercial Publishers of full-text material, LibrariesLibraries RepositoriesRepositories
  • 6. Need for Federated Search EnginesNeed for Federated Search Engines Libraries/Institutions Procure these databasesLibraries/Institutions Procure these databases Query Language, User interface for each of them isQuery Language, User interface for each of them is differentdifferent Patrons don’t prefer searching them one by one.Patrons don’t prefer searching them one by one. Federated Search Engines offers single interface toFederated Search Engines offers single interface to search across all resourcessearch across all resources They give entry to the deep web while Common SearchThey give entry to the deep web while Common Search engines Can’tengines Can’t 6605/21/1305/21/13 SHPT School Of Library ScienceSHPT School Of Library Science
  • 7. Google vs. Fed. Search EngineGoogle vs. Fed. Search Engine Google periodically visits the sites on its list andGoogle periodically visits the sites on its list and identifies the new links at those sites. Following thoseidentifies the new links at those sites. Following those links it arrives at new pages where it find more links. Inlinks it arrives at new pages where it find more links. In doing this, Google discovers sites it didn’t knew tilldoing this, Google discovers sites it didn’t knew till previous visits. And add it its databases.previous visits. And add it its databases. Process of going from one page to another and then toProcess of going from one page to another and then to another is referred to as “crawling,”another is referred to as “crawling,” Deep Web content don’t have such links. Google Can’tDeep Web content don’t have such links. Google Can’t retrieve it.retrieve it. Federated Search Engines are programmed to fill up theFederated Search Engines are programmed to fill up the search form for user queries, submit them to varioussearch form for user queries, submit them to various deep web resources and to read the results from them.deep web resources and to read the results from them. Google is not designed to fill up search formsGoogle is not designed to fill up search forms 7705/21/1305/21/13 SHPT School Of Library ScienceSHPT School Of Library Science
  • 8. Federated Search Engines-FeaturesFederated Search Engines-Features Saves Time/One Stop ShoppingSaves Time/One Stop Shopping Quality Results –Authentic sourcesQuality Results –Authentic sources Most current ContentMost current Content Aggregation (Helpful Arrangement)Aggregation (Helpful Arrangement) Relevance RankingRelevance Ranking De-duplicationDe-duplication Simple Search, Advance Search/ LimitersSimple Search, Advance Search/ Limiters Clustering/ Subject GroupingClustering/ Subject Grouping 88 05/21/1305/21/13 SHPT School Of Library ScienceSHPT School Of Library Science
  • 9. Federated Search Engines - LimitationsFederated Search Engines - Limitations Doesn’t offer native searchDoesn’t offer native search Hard to go deeper in collectionHard to go deeper in collection Slow in Response TimeSlow in Response Time Complete de-duping is difficultComplete de-duping is difficult Configuring For new database- time consumingConfiguring For new database- time consuming Changed database configuration- unsearchableChanged database configuration- unsearchable 9905/21/1305/21/13 SHPT School Of Library ScienceSHPT School Of Library Science
  • 10. Some Federated Search ApplicationsSome Federated Search Applications 360 Search360 Search DeepWebDeepWeb LiraryFindLiraryFind MetaLibMetaLib Scitopeia.orgScitopeia.org WebFeatWebFeat WorldWideScienceWorldWideScience 101005/21/1305/21/13 SHPT School Of Library ScienceSHPT School Of Library Science
  • 11. Criteria -Selecting Best FederatedCriteria -Selecting Best Federated Search EngineSearch Engine HostingHosting  Vendor Hosted ModelVendor Hosted Model  Locally Hosted ModelLocally Hosted Model PricingPricing 100% database compatibility100% database compatibility Screen Scrapping Vs. Native InterfaceScreen Scrapping Vs. Native Interface Automatic 24*7 Monitoring and updatesAutomatic 24*7 Monitoring and updates Custom User InterfaceCustom User Interface Quality of ConnectorsQuality of Connectors Relevance RankingRelevance Ranking TrialsTrials 111105/21/1305/21/13 SHPT School Of Library ScienceSHPT School Of Library Science
  • 12. MetaLib Vs WebFeatMetaLib Vs WebFeat WebFeatWebFeat DeepWebDeepWeb 121205/21/1305/21/13 SHPT School Of Library ScienceSHPT School Of Library Science Criteria MetaLib Webfeat 1 Shows Search Results in 2 Consistency in results returned 3 No of databases searched at a time 4 Option for “Search All Databases” 5 One Stop Shopping MetaLib Interface Yes; All databases have same search default operators Ten No No Native Interface No; All databases searched has different default operators No Limit Yes Yes
  • 13. MeaLib Vs. WebFeatMeaLib Vs. WebFeat WebFeatWebFeat DeepWebDeepWeb 131305/21/1305/21/13 SHPT School Of Library ScienceSHPT School Of Library Science Criteria MetaLib Webfeat 6 Speed of retrieval 7 Allows Customized Grouping of Databases 8 Type of Hosting offered 9 At a time Searching Capacity of Simple Search 10 Interface Complexity 11Sorting of Records offered More No Vendor, Local both 1 Category of subject Less By many ways (Year, relevance etc.) Comparatively Less Yes Vendor All Categories More No sorting
  • 14. ConclusionConclusion Federated search engines are powerful toolsFederated search engines are powerful tools which can create a single gateway linking to thewhich can create a single gateway linking to the scattered information resources, lying even inscattered information resources, lying even in the deep web.the deep web. It helps users to find high-quality, mostIt helps users to find high-quality, most current ,more specialized information fromcurrent ,more specialized information from remote corners of the Internet. Hence it’s a vitalremote corners of the Internet. Hence it’s a vital technology in today's information agetechnology in today's information age 141405/21/1305/21/13 SHPT School Of Library ScienceSHPT School Of Library Science