Date post: | 15-Jul-2015 |
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Education |
Upload: | nikesh-narayanan |
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Web Scale Discovery Service
Google like Search Experience
Nikesh Narayanan M.Tech, MLIS, M.com
Discovery Service Engineer
EBSCO Information [email protected]
Important point #1
0% of users start their research on your
library’s website
(95% close to reality )
Why users move away from Library ?
• library lacks a research tool that could fully search all the subscribed resources of the Library
• Library website usually present too many points of entry; A variety of different databases make it confusing to figure out where to go.
• Users wanted to start searching immediately from a single entry point
– Books: Library OPAC (ILS
module)
– Articles from Individual e-
Journals
– Various e-Book collections
– Different e-journal publisher portal
– Aggregated : Full text and
Bibliographic Databases
– Databases that are not Subject
Indexes (WoS, Scopus etc.)
– Local Digital Collections (IRs)
Users’ Dilemma
Why users move away from LibraryDisjoint Sources of Information
Where to Start?
Dissatisfied users
Under utilized resources
Loss of money time and efforts
Unable to provide relevant information to users at right
time
Inefficient mark on Library system ?
Ultimate loss to institution & nation
Adverse consequences
A Simple Vision
A single point entry to all the content and services offered by
the library…..
Search e-Journals, books, catalogue, IR’s etc.
….as well as providing an enjoyable search experience
Search
Search:
Search Results
Pre-built harvesting and indexing
Meta Search Index
Local Index
OPAC
Digital Collections / IRs
Discovery Services
Discovery Service Federated Search Engines
Search is very fast as retrieval is done in pre-harvested index
Slow (longer time for search completion) –Federated searching is performing the meta search on the fly from different resources
Standardized unified Index Many indexes: Individual indexes and different database structures of various publishers makes it difficult for metadata retrieval.
Robust Relevancy Ranking as retrieval is from Unified index
Testing has proven that relevancy ranking is a major issue in retrieval of quality data.
Metadata Enhancement is possible Metadata enhancement is not possible
Comprehensive results Shallow results -and eventually users will miss much relevant content.
Performance quality is very high Many times important information from relevant resources are missed out due to connection error.
Subject filtering of result set is based on the segmentation ( pre-defined controlledvocabularies)
Subject filtering is through automatic clustering and noise of non- standardized vocabularies may mislead the users.
Discovery Vs Federated Search Engine
Web Scale Discovery Service
Simple yet Powerful solution
As Simple as Google / Google Scholar
Much higher in terms of functionalities
Web Scale Discovery Service
1. Possible to search / filter to Library’s
subscribed resources only.
2. Possible to limit search to peer
reviewed articles
3. Integration of Library Catalogue and
Institutional Repositories
1. Not available
2. Peer Reviewed filtering is not
available
3. Catalogue and IR integration is not
available
Discovery functionalities are much higher than Google Scholar
Web Scale Discovery Service
• More No. of facets • Less facets for filtering
results
Discovery functionalities are much higher than Google Scholar
Web Scale Discovery Service
5. Integration of subject Indexes is
possible through platform blending
6. Integration of SCOPUS and Web of
Science Possible
5. Not available
6. Not available
Discovery functionalities are much higher than Google Scholar
Web Scale Discovery Service
A to Z Directory of Library
Resources
Not available
Discovery functionalities are much higher than Google Scholar
Web Scale Discovery Service
Anytime anywhere with full
text access through
Integration with Remote
access technologies
( eg: Ezproxy, Athens etc. )
Not available
Discovery functionalities are much higher than Google Scholar
Advanced WSD Tools : features
• Integrate of most of the resources
• Non covered resources are integrated through
federated connectors (not possible in Google
Scholar)
• Integration of Subject Indexes through Platfrom
blending
• A to Z directory of Library Resources
• Customization
• Catalog Integration
• IR integration
• Widgets
Content (Knowledge Base)
– Journals
– Books
– Databases
– Aggregators content
– Open source Materials
– News papers, indexes etc.
– Library Catalogue
– Institutional Repositories
Base Index
Local Index
Technology
Harvester (OAI/PMH etc.)
Automated transfer routines, load tables
Metadata mapping
Platform blending
Indexing technology
De-duplication Algorithms
Link Resolvers
Relevancy Algorithms
Interface technologies
Institution Major results
Grand Valley State University Increased use of full text download
North Carolina State University Increased user satisfaction and usage
Oregon State University (worldcat local) Effective search which resulted in increased usage
University of Texas (Summon) Significant Increase in the use of electronic resources
Illinois University (EBSCO Discovery Service) significant increase in database usage.
Comparative Study : Bucknell University and Illinois Wesleyan University – comparison of Discovery services & Google Scholar
EBSCO Discovery Service outperformed other discovery systems & Google Schloar
Discovery Service brings back users to
Libraries : Studies show the Evidence