Your SlideShare is downloading. ×
0
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Digital Library Applications Of Social Networking
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Digital Library Applications Of Social Networking

2,526

Published on

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.

Published in: Education
1 Comment
4 Likes
Statistics
Notes
No Downloads
Views
Total Views
2,526
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
65
Comments
1
Likes
4
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 1. Digital Library Applications of Social Networking <br />Dr. Myungdae Cho<br />Library School<br />SungKyunKwan University<br />myungdae.cho@gmail.com <br />
  • 2. Agenda<br />
  • 3. 1. Social Networking &amp; Information Fluency<br />From PIM (Personal Information Management) level <br /> - Is Memex incarnated? <br /> - more than hyperlink …<br />To “Sociality” by Link and Tags<br /> -&amp;gt; Inter-subjectivity <br /> - a thought in a user links to many thoughts in <br /> internet community <br /> -&amp;gt;Principle of Emergence<br />
  • 4. Socialty<br />(Messaging,<br /> Blogging,<br /> Streaming media)<br />
  • 5. Machine, Humanand Socialty in Information Discovery <br />Forms Inter-subjectivity<br />Ontology (gives Subjective Path)<br />In other words: Top down + Bottom up <br />
  • 6. Another view of Machine, Humanand Socialty in Information Discovery <br />RDF vocabularies<br />or<br />(Ontology)<br />User-Created Metadata <br />Linked Data<br />(semantically organized data)<br />Mapped data from existing DB (such as MARC)<br />
  • 7. 2. Social Networking in Libraries<br />Social networking could enable librarians and <br /> patrons not only to interact, but to share and <br /> changeresources dynamically in an electronic <br /> medium. <br />
  • 8. Why do libraries care about social networking sites?<br />The next big thing after Google is Social Networking.<br /> ( From “As facebook takes off, Myspace strikes <br /> back” Kirkpatrick, Davis. Foutune. Sept. 19, 2007)<br />
  • 9. 2.1 Existing Library Application of Social Networking<br />Librarything in libraries<br />Delicious in libraries <br />Mashup….. couldbe as an application of Linked data<br />
  • 10. 2.1.1 Librarything in libraries<br />http://www.librarything.com/<br />“Personalized desire from individual’s needs”<br />“Cataloguing thru Social Networking”<br />LibraryThing is a prominent social cataloging<br /> web application for storing and sharing personal library catalogs and book lists.<br />
  • 11. Librarything in libraries<br />LibraryThing helps you create a library-quality <br /> catalog of your books. <br />LibraryThing connects people based on the books <br /> they share.<br />
  • 12. 2.1.2. Delicious in libraries <br />
  • 13. del.icio.us-like PennTags<br />PennTags - When card catalogs meet tags<br />http://tags.library.upenn.edu/<br />http://www.slideshare.net/laurie.allen/penntags-presentation-at-educause-2006<br />http://www.diglib.org/forums/fall2006/presentations/winkler-2006-11.pdf<br />
  • 14. 2.1.3 Mash up in libraries <br />http://library20.ning.com/profiles/blogs/mashup-your-librarys-twitter<br />Mashup your Library&amp;apos;s Twitter, Flickr, Youtube, <br />Facebook accounts! <br /><ul><li>Libraries mash up content, services and ideas</li></ul> http://www.oclc.org/fr/fr/nextspace/009/1.htm<br />Meebo Instant Messaging. Library Lookup. <br />Bookburro.<br />
  • 15. 3. how to lift existing metadata into a semantic level<br />Mapping (Marc21 -&amp;gt; DC, Marc -&amp;gt; FRBR etc)<br />Open Sources (Open Api)<br />Linked Data<br />
  • 16. 3.1 Open Source<br />Open Source Social Platforms: 10 of the Best<br />10 open source software platforms<br />http://mashable.com/2007/07/25/open-source-social-platforms/<br />www.programmableweb.com<br />SungKyunKwan University: Use ofOpen API http://lib.skku.edu/index.ax<br />
  • 17. 3.2 Linked Data <br />“Oh my goodness, the original web of documents was just the tip of iceberg.”<br />( Sir Tim Berners Lee, July 2008)<br />
  • 18. What is it?<br />
  • 19. Closed containers of data<br />Information systems, such as library catalogs, have <br />been, and still are, for the greatest part closed <br />containers of data, or “silos” without connections <br />between them, inaccessible to Web architecture (No Url, no links) with a few exception.<br />(Tim Berners Lee)<br /> free from the capsules of the catalog<br />
  • 20. Linked Data<br />Linked Data is a methodology for providing <br /> meanings and relationships between things anywhere on the web, using <br />URISfor identifying, <br />RDF for describingand <br />HTTP for publishing<br />
  • 21. Two valuable notions from library community<br />Collocations<br /><ul><li>1876 / Charles Cutter
  • 22. Resources with the same or related content are grouped together.</li></ul>Disambiguation <br /><ul><li>clarification that follows from the </li></ul> removal of ambiguity <br />
  • 23. Collocations through Linked Data<br />Wiki: http://www.wikipedia.org/<br />vs<br />dbpedia : http://dbpedia.org/About<br />WorldCat: http://www.worldcat.org/<br />vs<br />Fictionfinder (FRBR model): http://fictionfinder.oclc.org<br />
  • 24. rdf identifiers as a disambiguation <br />http://rdf.freebase.com/?freebaseid<br />http://rdf.freebase.com/ns/en.blade_runner<br />
  • 25. rdf identifiers as a disambiguation <br />annotation<br />Disambiguation process<br />
  • 26. rdf identifiers as a disambiguation <br />
  • 27. Another disambiguation_dereferenceable URIs<br />
  • 28. In summary so far:Paradigm Shift in www <br />
  • 29. 4. Library’s role in Semantic Web<br />Phase 1: Semantifying MARC, Thesaurus etc <br /> 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)<br />Phase 2:<br /> Authority data discovery, sharing, and reuse, e.g., LC authorities &amp; Vocabularies, OCLC’s Faceted Application of Subject Terminology (FAST) etc <br />Phase 3: Into the Semantic Web<br />Web of Linked data<br />DBPedia<br />GeoNames<br />Librarything<br />
  • 30. Case: OCLC Semantic Web Projects<br /><ul><li>FRBRising projects
  • 31. Developed FRBR work set algorithms’ andxISBN Web Services
  • 32. FictionFinderhttp://fictionfinder.oclc.org
  • 33. WorldCat Identifiers (20 million identifiers)</li></li></ul><li>CV: Why establish controlled vocabularies?<br />Control values that occur in metadata<br />Reduce ambiguity<br />Control synonyms<br />Make documentation available for reuse <br />validate terms (by subject heading /LCSH)<br />Establish formal relationships among values where appropriate<br />Controlled vocabularies: ALA program on Linked Data<br />ALA Annual 2009<br />
  • 34. Types of Controlled Vocabularies used in metadata standards<br />Lists of enumerated values <br />Code lists (e.g. language, country)<br />Taxonomies<br />Formal Thesauri<br />Locally controlled enumerated lists<br />Controlled vocabularies: ALA program on Linked Data<br />ALA Annual 2009<br />
  • 35. Thesauri<br />A thesaurus is a controlled vocabulary with multiple types of relationships<br />Example:<br />Rice<br /> UF Paddy<br />BT Cereals<br />BT Plant products<br />NT Brown rice<br />RT Rice straw<br />
  • 36. Standards maintained at LC contain controlled vocabularies<br />LCSH/NAF<br />Thesaurus of Graphic Materials<br />ISO 639-2 (language codes)<br />MARC (including code lists)<br />MODS<br />METS<br />PREMIS<br />MIX (XML schema for NISO Z39.87 Technical metadata for digital still images)<br />… and some others<br />
  • 37. Representing information about controlled vocabulary values<br />Data elements in metadata formats, e.g. MARC Authority format<br />XML schemas (sometimes as enumeration values)<br />RDF/XML and RDFS (Resource Description Framework)<br />SKOS<br />MADS (Metadata Authority Description Schema)<br />
  • 38. Reasons for developing a web service for vocabularies<br />Facilitate development and maintenance process for vocabularies<br />Make controlled lists “openly” available<br />Provide comprehensive information about controlled values<br />Experiment with semantic web technologies and linked data<br />Expose vocabularies to wider communities<br />
  • 39. Popular Rdf Vocabularies <br />People + Organisations<br />FOAF, HCard, Relationship, Resume<br />Places <br />Geonames, Geo<br />Events <br />RDFCalendar<br />Social Media <br />SIOC, Review<br />Topics + Tags <br />SKOS, MOAT, HolyGoat<br />eCommerce<br />GoodRelations, CC Licensing<br />More... <br />Scovo, DOAP, Recipes, Measurements, ... <br />
  • 40. SKOS<br />“Simple Knowledge Organisation System(s)”<br />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<br />Simple, extensible, machine-understandable representation for “concept schemes”<br />Thesauri<br />Classification Schemes<br />Taxonomies<br />Subject Headings<br />Other types of ‘controlled vocabulary’…<br />Disadvantage: unusual concept schemes don’t fit into SKOS (original structure too complex)<br />
  • 41. A Method to Convert Thesauri to SKOS<br />Case1<br />Original XML data file: http://www.esd.org.uk/standards/ipsv/ipsv.xml<br />Original XML Schema filehttp://www.esd.org.uk/standards/xmlschemas/taxonomy-v3.0.xsd<br />Conversion program: convertipsv.pl (contains instructions for usage)<br />Resulting RDF: ipsv/rdf/ipsv.rdf<br />SKOS Core schema: http://www.w3.org/2004/02/skos/core/history/2005-10-14 (version used for this paper, for latest version seehere)<br />Additional IPSV schema: ipsv/ipsv1-eswc06.rdf<br />Case 2<br />Partial original data files: gtaa/SampleOfGTAA.zip<br />Conversion program: gtaa/GTAAtoSKOSinstanceRDFSv6.pl<br />Resulting RDF: gtaa/GTAAinstancesSKOSv7.rdf<br />SKOS Core schema: http://www.w3.org/2004/02/skos/core/history/2005-10-14 (version used for this paper, for latest version seehere)<br />Additional GTAA schema: gtaa/GTAAskosModelRDFSv4.rdfs<br />
  • 42. Converting into SKOS graph<br />Identify<br />Describe<br />Publish<br />
  • 43. Identify<br />Step 1: Identify concepts…<br /> http://www.example.com/concepts#lovehttp://www.example.com/concepts#awehttp://www.example.com/concepts#joy<br />
  • 44. Describe<br />Step 2: Describe…<br />
  • 45. Publish<br />Step 3: Publish…<br />Put the file on a web server for programs to download &amp; process<br />Put the file on special RDF server on which you can query with SQL-like language:<br />Select * from … Where …<br />
  • 46. Publishing LCSH in the Web<br />Project LCSH into RDF (i.e., create an RDF representation)<br />Library of Congress Subject Headings available as linked-data using the SKOS vocabulary. http://lcsh.info<br />
  • 47. LCSH in SKOS<br /> <br />
  • 48. LCSH in SKOS<br />
  • 49. LCSH in SKOS<br />
  • 50. Skosuse cases_2: NSDL Metadata Registry<br />http://metadataregistry.org/<br />
  • 51. Skosuse cases_3: getty<br />http://www.getty.edu/research/conducting_research/vocabularies/download.html<br />
  • 52. Skosuse cases_4: Agricultural Information Management Standards (AIMS)<br />http://aims.fao.org/en/search/google/cow?query=cow&amp;cx=011162950886884224513:ennli7xeebg&amp;cof=FORID:11&amp;sitesearch=&amp;hl=en&amp;ie=utf-8&amp;oe=utf-8&amp;lr=lang_en<br />
  • 53. FRBR conceptual model<br />Coyle (2008) advocates FRBR conceptual model <br /> as part of a semantic model in saying <br /> “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 <br /> semantic web.”<br />
  • 54. FRBR<br />Expression of Core FRBR Concepts in RDF<br /> http://vocab.org/frbr/core.html<br />This vocabulary is an expression in RDF of the <br /> concepts and relations described in the IFLA <br /> report on the Functional Requirements for <br /> Bibliographic Records (FRBR).<br />
  • 55. FRBR as a RDF vocabulary<br />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.<br />FRBR a type of RDF vocabulary<br />entities and the relationships inFRBR is identifiable, <br /> linkable, usable, and reusable, and everything can <br /> be matched up. <br />
  • 56. FRBR-SKOS<br />
  • 57. RDA (Resource Description and Access) <br />The new cataloging rules, replacing AACR2<br />RDA -&amp;gt; RDF<br />Joint DCMI/RDA task force<br />Seed funding to develop initial prototype RDF vocabularies for bibliographic information<br />Based on FRBR and data model implicit in RDA<br />Early stage year<br />http://dublincore.org/dcmirdataskgroup/<br />Karen Coyle<br />
  • 58. library related Linked Data projects<br />A brief and incomplete list of some library related <br /> Linked Data projects:<br />RDF BookMashup – Integration of Web 2.0 data sources like Amazon, Google or Yahoo into the Semantic Web. <br />Library of Congress Authorities – Exposing LoCAutorities and Vocabularies to the web using URI’s <br />DBPedia – Exposing structured data from WikiPedia to the web <br />LIBRIS – Linked Data interface to Swedish LIBRIS Union catalog <br />Scriblio+Wordpress+Triplify – “A social, semantic OPAC Union Catalogue” <br />
  • 59. Language of Interoperability<br />Universal identifiers (URIs): like written word <br /> – For “connecting the dots”<br />Abstract syntax (RDF triples): sentence grammar<br /> – Foundation of syntactic interoperability<br />Vocabularies: words and concepts<br /> – Foundation of semantic interoperability<br />Platform for compatible domain models<br /> – Application Profiles<br />Human-understandable – machine-processable<br />
  • 60. 5. Proposed Models for Libraries with Linked data <br />A publisher provides basic information about a book<br /> (e.g., using onix)<br />The National Library adds bibliographic and authority <br /> control<br /> A local library adds holding information<br /> Some nice guy out there adds links from, say, Wikipedia<br /> 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. <br />=&amp;gt;Since, instead of following links between HTML pages, Linked Data browsers enable users to navigate between different data <br />sources by following RDF links.<br />How about User-created metadata<br />
  • 61. Advantages over other methods<br />No crosswalk/mapping<br /> - Each one uses his own metadata format, all triples can be aggregated<br />No data redundancy<br /> - Each one creates only the data he needs, and retrieves already existing information <br />No harvesting<br /> - The data is available directly on the Web<br />No branding issue<br /> - The URIs allow to track down the original data whatever its origin<br />No software-specific developments<br /> - Everything relies on open standards as RDF, SPARQL … no need to learn a new protocol or query<br /> language<br />
  • 62. Thank you for listening! <br />Questions? <br />

×