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Linked Data en bibliotecas Daniel Vila Suero Ontology Engineering Group, Universidad Politécnica de Madrid Agradecimientos: Asunción Gómez-Pérez,

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Presentation on theme: "Linked Data en bibliotecas Daniel Vila Suero Ontology Engineering Group, Universidad Politécnica de Madrid Agradecimientos: Asunción Gómez-Pérez,"— Presentation transcript:

1 Linked Data en bibliotecas Daniel Vila Suero dvila@fi.upm.es Ontology Engineering Group, Universidad Politécnica de Madrid Agradecimientos: Asunción Gómez-Pérez, a los miembros del OEG que han participado en la elaboración de estas transparencias Curso LD Bibliotecas UTPL, Loja, Ecuador 28 de Abril al 2 de Mayo 2014

2 Contenido Library Linked Data  W3C Incubator Group  Stanford Manifesto  A Bibliographic Framework for the Digital Age Casos de uso W3C Diferentes casos de estudio 2

3 º Library Linked Data 3

4 Library Linked Data is here Growing interest on Linked Data:  Stanford Manifesto  IFLA Semantic Web Special Interest Group and RDFS/OWL models  W3C Incubator Group  RDA vocabularies  European Librarians supporting Open Licensing announcement 4

5 European national libraries: Open Data CENL (Conference of European National Librarians) 46 National Libraries voted to support open licensing Data more accesible and reusable Keys:  Innovation for app development  Enrichment of services like Wikipedia with highly curated data  Generation of relationships accross datasets through LOD 5

6 Stanford Manifesto 6 Manifesto for Linked Libraries - http://bit.ly/sldw-mfhttp://bit.ly/sldw-mf 1.Publishing data on the Web for discovery over preserving it in dark archives. 2.Continuous improvement of data over waiting to publish perfect data. 3.Semantically structured data over flat unstructured data. 4.Use common vocabularies over rolling your own. 5.Collaboration over working alone. 6.Web standards over domain-specific standards. 7.Use of open, commonly understood licenses over closed, local licenses.

7 LOC: A Bibliographic Framework for the Digital Age Bibliographic Framework Initiative 31st of October 2011 APPROACH: Embrace the Web and Linked Data and broadly adopted data models (RDF) GOAL: move the current library-technological environment away from being a niche market unto itself to one more readily understandable by present and future  data creators,  data modelers,  and software developers. 7

8 W3C incubator (XG) activity 8 Short-lived working groups: around 1 year No delivery of W3C Recommendations, but “innovative ideas for specifications, guidelines, and applications that are not (or not yet) clear candidates as Web standards” http://www.w3.org/2005/Incubator/

9 Library Linked Data incubator May 2010 – August 2011 51 participants 23 W3C member organizations VU Amsterdam, INRIA, Library of Congress, JISC, Deutsche Nationalbibliotek, DERI Galway, OCLC, Talis, LANL, Helsinki University of Technology, University of Edinburgh, Universidad Politécnica de Madrid, etc. Invited experts from other organizations BnF, National Library of Latvia, German National Library of Economics, etc.

10 Alexander Haffner András Micsik Andrew Houghton Anette Seiler Antoine Isaac Asaf Bartov Bernard Vatant Carlo Meghini Dan Brickley Daniel Vila Suero Dickson Lukose Ed Summers Emmanuelle Bermes Felix Sasaki Fumihiro Kato Glen Newton Gordon Dunsire Guenther Neher Herbert Van De Sompel Hideaki Takeda Ikki Ohmukai Jeff Young Joachim Neubert Jodi Schneider Jon Phipps Jonathan Rees Kai Eckert Karen Coyle Kevin Ford Kim Viljanen Kosuke Tanabe Lars Svensson Laszlo Kovacs Marcel Ruhl Marcia Zeng Mark van Assem Martin Malmsten Michael Hausenblas Michael Panzer Monica Duke Nicolas Delaforge Oreste Signore Peter Murray Ray Denenberg Ross Singer Stu Weibel Thomas Baker Tod Matola Uldis Bojars William Waites Wolfgang Halb Up-to-date list at http://www.w3.org/2000/09/dbwg/details?group=44833 W3C XG Participants

11 W3C XG Mission To help increase global interoperability of library data on the Web, by  bringing together people involved in Semantic Web activities—focusing on Linked Data—in the library community and beyond,  building on existing initiatives, and  identifying collaboration tracks for the future. 11

12 W3C XG Results Loads of interesting discussions! See public mailing list archive: http://lists.w3.org/Archives/Public/public- lld/http://lists.w3.org/Archives/Public/public- lld/ Final report (3 separate documents) 25/10/2011 1.Final report 2.Datasets, Value Vocabularies, and Metadata Element Sets 3.Use Cases report Translation into Spanish available 12

13 W3C XG Final report Available at http://www.w3.org/2005/Incubator/lld/XGR-lld- 20111025/ http://www.w3.org/2005/Incubator/lld/XGR-lld- 20111025/ 13 BENEFITS CURRENT SITUATION RECOMMENDATIONS

14 W3C XG Final report: Benefits 14 BENEFITS Researchers, students, patrons Organizations Librarians, archivists and curators Developers and vendors

15 W3C XG Final report: Benefits 15 BENEFITS Researchers, students, patrons Organizations Librarians, archivists and curators Developers and vendors Improved discovery and browsing of data Better visibility of library resources (SEO) Enriched (scientific) publications

16 W3C XG Final report: Benefits 16 BENEFITS Researchers, students, patrons Organizations Librarians, archivists and curators Developers and vendors Bottom-up approach to data publication  More actors, different views Wider choice of vendors and technologies, not only ILS + Visibility and connectivity  - infrastructure costs “The coolest thing to do to your data will be thought by someone else”

17 W3C XG Final report: Benefits 17 BENEFITS Researchers, students, patrons Organizations Librarians, archivists and curators Developers and vendors Up-to-date resource descriptions directly citable by catalogers  thanks to URIs+RDF Reduce redundancy and duplication Catalogers efforts focused on their domain of expertise

18 W3C XG Final report: Benefits 18 BENEFITS Researchers, students, patrons Organizations Librarians, archivists and curators Developers and vendors Use of well-known Web standards and protocols More and more generic tools, not tied to library-specific formats Welcomes a much larger developer community

19 W3C XG Final report: Current situation 19 Issues with traditional library data 2. Library standards are designed only for the library community 1. Library data is not integrated with Web resources 3. Library data is expressed primarily as natural-language 4. Library and SemWeb communities use different terminology for similar metadata concepts 5. Library technology changes depend on vendor systems development

20 W3C XG Final report: Current situation 20 Library Linked Data available today 2. Variable quality and support 1. Fewer bibliographic datasets than value vocabs & el. sets 3. Cross-linking requires further effort and coordination

21 W3C XG Final report: Current situation 21 Right issues 2. Data rights may be considered business assets 1. Rights ownership is complex

22 W3C XG Final report: Current situation 22 Recommendations: Library leadership 2. Foster discussion about Open Data and rights 1. Identify candidate data sets for early exposure

23 W3C XG Final report: Current situation 23 Recommendations: data and sys designers 2. Develop policies for managing vocabs and URIs 1. Design/Test user services based on LD capabilities 3. Create URIs for the items in library datasets 4. Reuse and Map to existing LD vocabularies

24 W3C XG Final report: Current situation 24 Recommendations: librarians and archivists 2. Apply library experience in curation and long-term preservation to LD datasets 1. Preserve LD element sets and value vocabularies

25 W3C XG Vocabs and Datasets report Available at http://www.w3.org/2005/Incubator/lld/XGR-lld- vocabdataset-20111025/ http://www.w3.org/2005/Incubator/lld/XGR-lld- vocabdataset-20111025/ 25 Datasets Value vocabularies Element sets British National Bibliography, Europeana LOD, data.bnf.fr.. LCSH, VIAF, AGROVOC …

26 W3C XG Use cases report Available at http://www.w3.org/2005/Incubator/lld/XGR-lld- usecase-20111025/ http://www.w3.org/2005/Incubator/lld/XGR-lld- usecase-20111025/ 26

27 W3C XG Use cases report 8 Clusters 60 Individual use cases from XG participants and community Generalized (Extracted) use cases for each cluster Good place to look for examples, fresh ideas, space of innovation and research topics! 27

28 W3C XG Use cases report 8 Clusters 60 Individual use cases from XG participants and community Generalized (Extracted) use cases for each cluster Good place to look for examples, fresh ideas, space of innovation and research topics! 28

29 W3C XG Use cases report 29 Generated with TagCrowd

30 Casos de estudio Europeana VIAF Worldcat Data.bnf.fr German National Library 30


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