Please use this identifier to cite or link to this item: https://zone.biblio.laurentian.ca/handle/10219/2178
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dc.contributor.authorScott, Dan-
dc.date.accessioned2014-03-20T12:30:33Z-
dc.date.available2014-03-20T12:30:33Z-
dc.date.issued2014-03-20-
dc.identifier.urihttps://zone.biblio.laurentian.ca/dspace/handle/10219/2178-
dc.identifier.urihttps://doi.org/10.1007/978-3-319-07443-6_44en_CA
dc.descriptionPreprint of a paper to be presented at the European Semantic Web Conference (ESWC) 2014.en_CA
dc.description.abstractMost libraries use the machine-readable cataloguing (MARC) format to encode and exchange metadata about the items they make available to their patrons. Traditional library systems have not published this data on the Semantic Web. However, some agile open source library systems have begun closing this gap by publishing structured data that uses the schema.org vocabulary to describe the bibliographic data, make offers for items available for loan, and link the items to their owning libraries. This article distills the lessons learned from implementing structured data in Evergreen, Koha, and VuFind; highlights emerging design patterns for publishing structured data in other library systems; and traces the influence these implementation experiences have had on the evolution of the schema.org vocabulary. Finally, we discuss the impact that “the power of the default” publishing of structured data could have on discoverability of library offerings on the Semantic Web.en_CA
dc.language.isoenen_CA
dc.subjectlibrariesen_CA
dc.subjectstructured dataen_CA
dc.subjectschema.orgen_CA
dc.subjectopen sourceen_CA
dc.subjectRDFaen_CA
dc.titleSeeding Structured Data by Default via Open Source Library Systemsen_CA
dc.typeArticleen_CA
dc.typePreprinten_CA
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