2. SECTIONS SPEAKERS
Introduction and Overview Sumanta Bag
Metadata records and conceptual model Kaustav Saha
Approaches and standards towards metadata Debashis Naskar
Interoperability & Services towards Digital Environment Vikas Bhushan
Research landscape and Conclusion Sayon Roy
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3. INTRODUCTION
• What is Resource
• Introduction to Metadata
– Definition
– Examples
• Purpose of Metadata
• Usage of Metadata
• Types of Metadata
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4. What is resource?
• Resource is something that can be identified, the
identification having two distinct purposes,viz., naming
and addressing the resources.
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5. What is Metadata ?
• Metadata is a piece of information describing a resource.
(Resources include books, websites, Maps, Videos, etc.).
• It represents the who, what, when, where, why, and how of a
resource.
• Structured data about something which are text, images, sound,
movement, objects ,events, services etc.
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6. Example of Metadata [cont..]
• Label on a product giving details of the product
E.g. actual contents of a food product; Protein and vitamins
content; calories, etc.
entity
attributes
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7. Example of metadata [cont..]
commons.wikimedia.org/wiki/File: Medicine_bottles.jpg4/1/2015
8. Metadata for an Image
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http://www.webopedia.com/DidYouKnow/Computer_Science/2007/metadata.asp
9. Metadata uses in library and publishing documents
Metadata have been used in a variety of applications, such as:
• Libraries
• Database publishing
• Dictionary and encyclopedia publishing
• Book publishing
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10. WHY DO WE NEED METADATA?
• Understanding the content
• Information search and Retrieval
• Sharing
• Processing
• Management
- Preservation
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14. Metadata Record
• In the context of libraries, archives and bibliographic agencies:
Catalogue record / Bibliographic Record
A record providing a description of a document and is made accessible / searchable
under several access points
• Authority records
15. Function of Metadata Records
• Two major purposes:
Resource Discovery
-Identification
- Collocation
House Keeping
• Resource discovery encompasses the following user tasks:
– Find
– Identity
– Select
– Obtain
16. FRBR Model
• FRBR is a conceptual model
• Entities-Group 1, Group 2, Group 3
• The entity relationship model is generalized way to look at the bibliographic
universe.
• Conceptual model are useful as the basis development of next generation cataloguing
rules
18. FRBR Model [Group 1]
Intellectual/ artistic content
Physical Recording
Of content
Expression
WORK
Manifestation
Item
Is realized through
Is exmplified by
Is embodied
In a
19. FRBR Model [Group 2]
WORK
EXPRESSION
MANIFESTATION
ITEM
PERSON
CORPORATE BODY
Is owned by
Is produced by
Is realized by
is created by
20. FRBR Model [Group 3]
• The entities in the third group represent an additional set of
entities that serve as the subjects of works.
• The group includes:
– Concept
– Object
– Event
– Place
21. Bibliographic relationship
• Relationship between different manifestations of work
• Relationship between a work and a translation or adaptation of the work
• Relationship between different works that are associated with the same person/ body
23. Approaches of Metadata
Traditional Automated Dig. Library
AACR2/CCC/CC/
LCCS/DDC/LCSH
AACR2/ISO 2709/
CCF/MARC
Metadata/DCMI/
EAD/METS/
MODS/MARC21
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24. Metadata Schema
• Metadata schema to choose from and
the number is growing rapidly.
• Metadata schemes describing a
particular type of information resource.
• Metadata can be encoded in any
definable syntax.
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25. Different Metadata Schema
• General Purpose
-Dublin Core, MODS
• Cultural Objects and Visual Resources
-VRA Core
• Educational Resources
-IEEE LOM
• Archival and Presentation Metadata
-EAD
• Government Purpose Metadata
- e-GMS
• Multimedia Objects
-MPEG-7
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26. What is Dublin Core
Introduction
-Set of Vocabulary terms
-Set of Metadata Elements
http://blogs.microsoft.co.il/blogs/itaysk/dublin_thumb_1E0094AA.png
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27. Dublin Core Elements
Dublin Core
Content Intellectual Property Instantiation
Title
Description
Type
Subject
Source
Relation
Coverage
Creator
Publisher
Rights
Contributor
Date
Format
Identifier
language
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28. Example of the book(Contd.)
<meta name = “DC.Title” content = “Khazana of Healthy Tasty Recipes”>
<meta name = “DC.Creator” content = “Kapoor, Sanjeev”>
<meta name = “DC.Subject” Scheme =”ddc” content = “641.50321”>
<meta name = “DC.Description” content = “In this book author represents
to make Indian food popular with everyone and also describe dietary and
health guidelines”>
<meta name = “DC.Publisher” content = “Popular Prakashan”>
<meta name = “DC.Contributor” content = “Kapoor, Alyona”>
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29. Example of the book
<meta name = “DC.Date.Created” content = “2000”>
<meta name = “DC.Type” content = “Book”>
<meta name = “DC.Format” content = “text”>
<meta name = “DC.Identifier” Scheme = “ISBN” content = “978-81-7154-671-8”>
<meta name = “DC.Language” content = “english”>
<meta name = “DC.Coverage” content = “India,Chinese,Italian and Thai ”>
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http://cdn.shopify.com/s/files/1/0106/6232/products/sk_healthy_tasty_large.jpg?27
30. A Simple Approach To Validation
Use of DC-dot
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http://www.emeraldinsight.com/content_images/fig/1640170201002.png
32. Interoperability
“Interoperability is the ability of multiple systems with different hardware
and software platforms, data structures, and interfaces to exchange data
with minimal loss of content and functionality”
-(NISO, 2004:2)
Image Source: http://www.niso.org/home/
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33. Interoperability at the Schema Level
Derivation: A new schema is derived from an existing one.
Application Profiles (Aps) : It is created based on one single schema but
tailored to different user communities.eg DC- Library Application profile
Frameworks: It can be considered a skeleton upon which various objects
are integrated for any given solution.
Crosswalks : It is “a mapping of the elements, semantics, and syntax from
one metadata scheme to those of another”.
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34. Pictorial view of Schema Derivation & Framework
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Image Source : www.dlib.org
Example of Schema Derivation
A Framework & the Schemas associated with the Framework
35. Crosswalks
1. Direct crosswalking : Applied when only two (or a limited number of )
schemas are involved.
2. Cross-switching : Applied to a situation in which multiple schemas are
involved.
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40. Metadata Services
Metadata Services include the common types listed here.
• Metadata registries
• Metadata repositories
• Metadata development and production services
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41. Metadata Harvesting Services in India
Sr.
No.
Name URL Host Software
used
1 Search Digital Libraries (SDL) http://drtc.isibang.ac.in/sdl DRTC,
Bangalore
PKP System
2 SJPI Cross Journal Search Service http://144.16.72.144/harvester/ NCSI, IISc PKP System
3 SEED http://eprint.iitd.ac.in/seed/ IIT, Delhi PKP System
4 Open J-Gate www.openj-gate.com/ Informatics
India Ltd.
------
5 Knowledge
Harvester@INSA
http://61.16.154.195/harvester/ INSA PKP System
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43. Metadata Research Landscape
• Research in Metadata Architecture
• Research in Metadata Modeling
• Research in Metadata Semantics
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44. Research in Metadata Architecture
• The term metadata architecture first appeared in Berners-Lee’s article on
the axioms of Web architecture
• His view “The architecture is of metadata represented as a set of
independent assertions”
(Berners-Lee, 1997)
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45. Research in Metadata Architecture
• Berners-Lee’s view on metadata architecture represents a computer
science perspective in which data are encoded in machine-processable
form and communicated via protocols.
• Research in metadata architecture in the past decade was divided into
two paradigms:
Paradigm of processability
Paradigm of executability
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46. Research in Metadata modeling
• Metadata models constitute just one of the many frontiers of research in
recent years. In addition to the abstract models developed by the
metadata community
• E.g., Dublin Core Abstract Model (DCAB), CDWA and CCO entity
relationship model, and the FRBR conceptual model researchers have
used varying approaches to analyze domains and seek effective ways to
build metadata models. These approaches can be divided into broad
categories:
Element-based expansion
Ontological modeling
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47. Research in Metadata Semantics
• Metadata semantics is not simply a technical issue concerned about
element definition or controlled vocabulary.
• Community tagging, social bookmarking, or any form of social
semantics raises a great challenge to the authority and effectiveness of
controlled semantics as represented by subject heading lists, thesauri,
classification schemes, and taxonomies.
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48. Conclusion
• According to Kennedy and Schauder, “Metadata are a description or profile of a
document or other information object.
• As the repositories as well as information and communication technology come
together to make the information age a reality, it is important to understand the
critical roles that can be played by metadata in the development of effective
authoritative, interoperable, scalable and preservative cultural heritage
information and record keeping system.
• With the emergence of web as a data warehouse, metadata has heightened in
importance. Without metadata, web storage is just an ocean of poorly catalogued
material.
• As even after considering universal protocol for data exchange with different
DL’s there is need for standards for metadata, although Dublin Core has been
proposed for its simplicity and popularity. Hence , one would anticipate the
emergence of generalized protocol.
• Metadata development has shaped a number of distinctive-yet related- research
fields in just over a decade. A large and growing portion of metadata development
is the result of the continuous pursuit for more effective organization, retrieval,
and management of digital information
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49. References
• www.niso.org/standards/resources/UnderstandingMetadata.pdf
• dublincore.org/metadata-basics/
• Krishnamurty M and Manjunath (2013). Metadata Standard: A Perspective; ILA
Conference, 906-914
• eprints.rclis.org/15829/
• kmr.nada.kth.se/papers/SemanticWeb/FutureOfLOMI.pdf
• www.jiscdigitalmedia.ac.uk/guide/metadata-standards-and-interoperability
• www.openarchives.org/pmh/
• www.ands.org.au › ANDS Guides › Content Providers Guid
• Zeng, M.L and Qin, J (2008) Metadata, Neal Schuman publishers,268-297.
• Amin S(2003) Introduction to OAI-PMH; 203-09
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