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Digital Library Applications Of Social Networking


This presentation discusses possible use of linked data in library community, focusing on how to lift existing metadata into a semantic level.

This presentation discusses possible use of linked data in library community, focusing on how to lift existing metadata into a semantic level.

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  • 1. Digital Library Applications of Social Networking
    Dr. Myungdae Cho
    Library School
    SungKyunKwan University
  • 2. Agenda
  • 3. 1. Social Networking & Information Fluency
    From PIM (Personal Information Management) level
    - Is Memex incarnated?
    - more than hyperlink …
    To “Sociality” by Link and Tags
    -> Inter-subjectivity
    - a thought in a user links to many thoughts in
    internet community
    ->Principle of Emergence
  • 4. Socialty
    Streaming media)
  • 5. Machine, Humanand Socialty in Information Discovery
    Forms Inter-subjectivity
    Ontology (gives Subjective Path)
    In other words: Top down + Bottom up
  • 6. Another view of Machine, Humanand Socialty in Information Discovery
    RDF vocabularies
    User-Created Metadata
    Linked Data
    (semantically organized data)
    Mapped data from existing DB (such as MARC)
  • 7. 2. Social Networking in Libraries
    Social networking could enable librarians and
    patrons not only to interact, but to share and
    changeresources dynamically in an electronic
  • 8. Why do libraries care about social networking sites?
    The next big thing after Google is Social Networking.
    ( From “As facebook takes off, Myspace strikes
    back” Kirkpatrick, Davis. Foutune. Sept. 19, 2007)
  • 9. 2.1 Existing Library Application of Social Networking
    Librarything in libraries
    Delicious in libraries
    Mashup….. couldbe as an application of Linked data
  • 10. 2.1.1 Librarything in libraries
    “Personalized desire from individual’s needs”
    “Cataloguing thru Social Networking”
    LibraryThing is a prominent social cataloging
    web application for storing and sharing personal library catalogs and book lists.
  • 11. Librarything in libraries
    LibraryThing helps you create a library-quality
    catalog of your books.
    LibraryThing connects people based on the books
    they share.
  • 12. 2.1.2. Delicious in libraries
  • 13. del.icio.us-like PennTags
    PennTags - When card catalogs meet tags
  • 14. 2.1.3 Mash up in libraries
    Mashup your Library's Twitter, Flickr, Youtube,
    Facebook accounts!
    • Libraries mash up content, services and ideas
    Meebo Instant Messaging. Library Lookup.
  • 15. 3. how to lift existing metadata into a semantic level
    Mapping (Marc21 -> DC, Marc -> FRBR etc)
    Open Sources (Open Api)
    Linked Data
  • 16. 3.1 Open Source
    Open Source Social Platforms: 10 of the Best
    10 open source software platforms
    SungKyunKwan University: Use ofOpen API http://lib.skku.edu/index.ax
  • 17. 3.2 Linked Data
    “Oh my goodness, the original web of documents was just the tip of iceberg.”
    ( Sir Tim Berners Lee, July 2008)
  • 18. What is it?
  • 19. Closed containers of data
    Information systems, such as library catalogs, have
    been, and still are, for the greatest part closed
    containers of data, or “silos” without connections
    between them, inaccessible to Web architecture (No Url, no links) with a few exception.
    (Tim Berners Lee)
    free from the capsules of the catalog
  • 20. Linked Data
    Linked Data is a methodology for providing
    meanings and relationships between things anywhere on the web, using
    URISfor identifying,
    RDF for describingand
    HTTP for publishing
  • 21. Two valuable notions from library community
    • 1876 / Charles Cutter
    • 22. Resources with the same or related content are grouped together.
    • clarification that follows from the
    removal of ambiguity
  • 23. Collocations through Linked Data
    Wiki: http://www.wikipedia.org/
    dbpedia : http://dbpedia.org/About
    WorldCat: http://www.worldcat.org/
    Fictionfinder (FRBR model): http://fictionfinder.oclc.org
  • 24. rdf identifiers as a disambiguation
  • 25. rdf identifiers as a disambiguation
    Disambiguation process
  • 26. rdf identifiers as a disambiguation
  • 27. Another disambiguation_dereferenceable URIs
  • 28. In summary so far:Paradigm Shift in www
  • 29. 4. Library’s role in Semantic Web
    Phase 1: Semantifying MARC, Thesaurus etc
    Translating LC controlled vocabularies and authority control for named entities, thesauri from domain specific societies and institutions into RDF/RDFS, OWL, SKOS with URIs assigned according to ‘Linked Data Design Principles (TBL, 2007)
    Phase 2:
    Authority data discovery, sharing, and reuse, e.g., LC authorities & Vocabularies, OCLC’s Faceted Application of Subject Terminology (FAST) etc
    Phase 3: Into the Semantic Web
    Web of Linked data
  • 30. Case: OCLC Semantic Web Projects
    • FRBRising projects
    • 31. Developed FRBR work set algorithms’ andxISBN Web Services
    • 32. FictionFinderhttp://fictionfinder.oclc.org
    • 33. WorldCat Identifiers (20 million identifiers)
  • CV: Why establish controlled vocabularies?
    Control values that occur in metadata
    Reduce ambiguity
    Control synonyms
    Make documentation available for reuse
    validate terms (by subject heading /LCSH)
    Establish formal relationships among values where appropriate
    Controlled vocabularies: ALA program on Linked Data
    ALA Annual 2009
  • 34. Types of Controlled Vocabularies used in metadata standards
    Lists of enumerated values
    Code lists (e.g. language, country)
    Formal Thesauri
    Locally controlled enumerated lists
    Controlled vocabularies: ALA program on Linked Data
    ALA Annual 2009
  • 35. Thesauri
    A thesaurus is a controlled vocabulary with multiple types of relationships
    UF Paddy
    BT Cereals
    BT Plant products
    NT Brown rice
    RT Rice straw
  • 36. Standards maintained at LC contain controlled vocabularies
    Thesaurus of Graphic Materials
    ISO 639-2 (language codes)
    MARC (including code lists)
    MIX (XML schema for NISO Z39.87 Technical metadata for digital still images)
    … and some others
  • 37. Representing information about controlled vocabulary values
    Data elements in metadata formats, e.g. MARC Authority format
    XML schemas (sometimes as enumeration values)
    RDF/XML and RDFS (Resource Description Framework)
    MADS (Metadata Authority Description Schema)
  • 38. Reasons for developing a web service for vocabularies
    Facilitate development and maintenance process for vocabularies
    Make controlled lists “openly” available
    Provide comprehensive information about controlled values
    Experiment with semantic web technologies and linked data
    Expose vocabularies to wider communities
  • 39. Popular Rdf Vocabularies
    People + Organisations
    FOAF, HCard, Relationship, Resume
    Geonames, Geo
    Social Media
    SIOC, Review
    Topics + Tags
    SKOS, MOAT, HolyGoat
    GoodRelations, CC Licensing
    Scovo, DOAP, Recipes, Measurements, ...
  • 40. SKOS
    “Simple Knowledge Organisation System(s)”
    A Semantic Web standard called Simple Knowledge Organization System (SKOS) defines the organization of terms into thesaurus form, with broader and narrower terms and alternate terms including alternate language entries
    Simple, extensible, machine-understandable representation for “concept schemes”
    Classification Schemes
    Subject Headings
    Other types of ‘controlled vocabulary’…
    Disadvantage: unusual concept schemes don’t fit into SKOS (original structure too complex)
  • 41. A Method to Convert Thesauri to SKOS
    Original XML data file: http://www.esd.org.uk/standards/ipsv/ipsv.xml
    Original XML Schema filehttp://www.esd.org.uk/standards/xmlschemas/taxonomy-v3.0.xsd
    Conversion program: convertipsv.pl (contains instructions for usage)
    Resulting RDF: ipsv/rdf/ipsv.rdf
    SKOS Core schema: http://www.w3.org/2004/02/skos/core/history/2005-10-14 (version used for this paper, for latest version seehere)
    Additional IPSV schema: ipsv/ipsv1-eswc06.rdf
    Case 2
    Partial original data files: gtaa/SampleOfGTAA.zip
    Conversion program: gtaa/GTAAtoSKOSinstanceRDFSv6.pl
    Resulting RDF: gtaa/GTAAinstancesSKOSv7.rdf
    SKOS Core schema: http://www.w3.org/2004/02/skos/core/history/2005-10-14 (version used for this paper, for latest version seehere)
    Additional GTAA schema: gtaa/GTAAskosModelRDFSv4.rdfs
  • 42. Converting into SKOS graph
  • 43. Identify
    Step 1: Identify concepts…
  • 44. Describe
    Step 2: Describe…
  • 45. Publish
    Step 3: Publish…
    Put the file on a web server for programs to download & process
    Put the file on special RDF server on which you can query with SQL-like language:
    Select * from … Where …
  • 46. Publishing LCSH in the Web
    Project LCSH into RDF (i.e., create an RDF representation)
    Library of Congress Subject Headings available as linked-data using the SKOS vocabulary. http://lcsh.info
  • 47. LCSH in SKOS
  • 48. LCSH in SKOS
  • 49. LCSH in SKOS
  • 50. Skosuse cases_2: NSDL Metadata Registry
  • 51. Skosuse cases_3: getty
  • 52. Skosuse cases_4: Agricultural Information Management Standards (AIMS)
  • 53. FRBR conceptual model
    Coyle (2008) advocates FRBR conceptual model
    as part of a semantic model in saying
    “Since FRBR is about entities and relationships, it seems to be perfectly positioned as the first step in the transformation of library data to the
    semantic web.”
  • 54. FRBR
    Expression of Core FRBR Concepts in RDF
    This vocabulary is an expression in RDF of the
    concepts and relations described in the IFLA
    report on the Functional Requirements for
    Bibliographic Records (FRBR).
  • 55. FRBR as a RDF vocabulary
    FRBR is a complete data model that is a new way of looking at our data, not just taking existing records and identifying work relationships.
    FRBR a type of RDF vocabulary
    entities and the relationships inFRBR is identifiable,
    linkable, usable, and reusable, and everything can
    be matched up.
  • 56. FRBR-SKOS
  • 57. RDA (Resource Description and Access)
    The new cataloging rules, replacing AACR2
    RDA -> RDF
    Joint DCMI/RDA task force
    Seed funding to develop initial prototype RDF vocabularies for bibliographic information
    Based on FRBR and data model implicit in RDA
    Early stage year
    Karen Coyle
  • 58. library related Linked Data projects
    A brief and incomplete list of some library related
    Linked Data projects:
    RDF BookMashup – Integration of Web 2.0 data sources like Amazon, Google or Yahoo into the Semantic Web.
    Library of Congress Authorities – Exposing LoCAutorities and Vocabularies to the web using URI’s
    DBPedia – Exposing structured data from WikiPedia to the web
    LIBRIS – Linked Data interface to Swedish LIBRIS Union catalog
    Scriblio+Wordpress+Triplify – “A social, semantic OPAC Union Catalogue”
  • 59. Language of Interoperability
    Universal identifiers (URIs): like written word
    – For “connecting the dots”
    Abstract syntax (RDF triples): sentence grammar
    – Foundation of syntactic interoperability
    Vocabularies: words and concepts
    – Foundation of semantic interoperability
    Platform for compatible domain models
    – Application Profiles
    Human-understandable – machine-processable
  • 60. 5. Proposed Models for Libraries with Linked data
    A publisher provides basic information about a book
    (e.g., using onix)
    The National Library adds bibliographic and authority
    A local library adds holding information
    Some nice guy out there adds links from, say, Wikipedia
    A library’s IT staff creates a Webpage where I can find all related information regarding this book, links to related books from the same author, on the same subject, the author’s bio from wikipedia, comments from other Portals.
    =>Since, instead of following links between HTML pages, Linked Data browsers enable users to navigate between different data
    sources by following RDF links.
    How about User-created metadata
  • 61. Advantages over other methods
    No crosswalk/mapping
    - Each one uses his own metadata format, all triples can be aggregated
    No data redundancy
    - Each one creates only the data he needs, and retrieves already existing information
    No harvesting
    - The data is available directly on the Web
    No branding issue
    - The URIs allow to track down the original data whatever its origin
    No software-specific developments
    - Everything relies on open standards as RDF, SPARQL … no need to learn a new protocol or query
  • 62. Thank you for listening!