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Lifecycle Metadata for Digital Objects

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Finding aids (EAD) Semantic Web ... Expanding a finding aid to accommodate individual granularity. Is it efficient to drill down through a finding aid to ... – PowerPoint PPT presentation

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Title: Lifecycle Metadata for Digital Objects


1
Lifecycle Metadata for Digital Objects
  • November 1, 2004
  • Descriptive Metadata
  • Modeling the World

2
Descriptive metadata for what?
  • WWW now seen as the ONE place to find everything
  • Descriptive metadata provides
  • Unique identification for a resource
  • Information permitting evaluation/selection of a
    resource
  • Information describing all essential properties

3
WWW How to find things
  • What does search mean on the WWW?
  • How to support its multiple purposes?
  • Failure of search engines (problems of scale)
  • Failure of HTML metatags (spamming)
  • Solution
  • local expert cataloging (providing access points)
  • remote free-text searching (inferring access
    points)
  • Dublin Core and its limitations
  • Warwick Framework and RDF
  • Universal Semantic Web

4
Some metadata examples
  • Individual objects (Dublin Core and its
    derivatives)
  • Multimedia and/or complex objects (METS/MPEG21)
  • Books and other chunks of information (MARC)
  • Finding aids (EAD)

5
Semantic Web
  • Berners-Lees vision for the Web basically
    machine-understandable metadata about meaning for
    everything on the Web
  • http//www.semaview.com/d/Semweb_Illustrated.pdf

6
Aside on cataloging
  • Cataloging systems as static relationships
    remained tacit
  • Classification systems
  • Controlled vocabularies
  • Name authorities
  • New methods look to AI and logical relations,
    ultimately to automated methods
  • All can be implemented in XML as namespaces

7
Ontologies
  • Like previous classification systems, they are
    being built by hand
  • General (Cyc) and domain-specific
  • Ontologies establish a joint terminology between
    members of a community of interest
  • Ontologies specify domain knowledge in terms of
    formal logic
  • Ontologies will be used to guide extraction of
    semantic content from texts (and perhaps
    automatic generation of metadata)

8
Topic Maps
  • Representation of information using topics,
    associations, and occurrences
  • Note how this triples representation fits well
    with RDF
  • An (older) ISO standard ISO/IEC 132502003
  • Related to ontologies and mind maps designed to
    map semantic regions

9
Web Services
  • How to provide processing services over the WWW
    XML and HTTP infrastructure passing remote
    procedure calls
  • UDDI (Universal Description Discovery and
    Information) is the registry of services
  • WSDL (Web Services Description Language) allows
    advertisement of services (in XML, of course)
    in the UDDI registry
  • SOAP (Simple Object Access Protocol) is the XML
    wrapper for requests sent to services
  • Example DC metadata registry http//dublincore.o
    rg/dcregistry/

10
Example RSS feeds
  • Rich Site Summary lets syndicated partners know
    about updates on a website
  • Modules
  • Dublin Core
  • Syndication
  • Content
  • Many others to make up a full metadata set for
    managing online resources as though the WWW were
    a library (minus, of course, preservation etc.)

11
Does what we know fit into this?
  • DC and derivatives are aimed at the single object
    (though not always used for it) and are
    frequently used in WWW contexts (cf. Warwick
    Framework/RDF namespaces)
  • EAD describes descriptions of aggregate chunks of
    information (chunked in terms of series or
    collections) but can describe single objects
  • MARC/MODS describes aggregate chunks of
    information (chunked in the form of books)
  • METS and MPEG21 are frames for multimedia objects

12
Granularity
  • Granularity governs the level at which metadata
    can be descriptive
  • Metadata granularity tends to be finer for
    digital objects
  • Digital objects cannot be managed without
    individual granularity (thank you David Bearman)

13
EAD Describing descriptions
  • What is a finding aid?
  • Describing a finding aid so it can be searched
  • Expanding a finding aid to accommodate individual
    granularity
  • Is it efficient to drill down through a finding
    aid to individual objects?
  • Can EAD be searched from the bottom up?

14
MARC Chunked packages
  • International Standard Bibliographic Description
    (ISBD) as parent of MARC, TEI
  • MODS User-friendly MARC? subset of MARC elements
    (19), language-based tags
  • MARC as descriptive metadata
  • Bibliographical detail for the work
  • Bibliographical detail for the specific instance
    of the work (cf. FRBR)
  • Places the work within one or many classificatory
    systems (ontologies, controlled vocabularies,
    authority lists)
  • But alas! Not consistent!

15
METS Multimedia/Multiversion
  • METS developed to express archival bond among
    objects related to one another as a single work
    (cf. FRBR, Warwick Framework, RDF)
  • Reflects concerns of digital librarians who want
    to make a wide range of versions available
  • Standard form
  • General descriptive metadata for package
  • Object link
  • Object type
  • Specific descriptive metadata set

16
What about the single object?
  • Is Dublin Core enough? Outdated?
  • What about derivatives?
  • Qualified DC, DC profiles
  • Australian elements
  • 5015.2 elements
  • Why describe the single object?
  • Who will describe at the object level?
  • Zillions of archivists?
  • Authors?
  • Automatic analysis (ontology-driven)?
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