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  • × author_ss:"Coyle, K."
  • × type_ss:"el"
  1. Coyle, K.: ¬The virtual union catalog : a comparative study (2000) 0.01
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    Abstract
    A Virtual union catalog is a possible alternative to the centralized database of distributed resources found in many library systems. Such a catalog would not be maintained in a single location but would be created in real time by searching each local campus or affiliate library's catalog through the Z39.50 protocol. This would eliminate the redundancy of record storage as well as the expense of loading and maintaining access to the central catalog. This article describes a test implementation of a virtual union catalog for the University of California system. It describes some of the differences between the virtual catalog and the existing, centralized union catalog (MELVYL). The research described in the paper suggests enhancements that must be made if the virtual union catalog is to become a reasonable service alternative to the MELVYL® catalog.
  2. Baker, T.; Bermès, E.; Coyle, K.; Dunsire, G.; Isaac, A.; Murray, P.; Panzer, M.; Schneider, J.; Singer, R.; Summers, E.; Waites, W.; Young, J.; Zeng, M.: Library Linked Data Incubator Group Final Report (2011) 0.01
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    Abstract
    Key recommendations of the report are: - That library leaders identify sets of data as possible candidates for early exposure as Linked Data and foster a discussion about Open Data and rights; - That library standards bodies increase library participation in Semantic Web standardization, develop library data standards that are compatible with Linked Data, and disseminate best-practice design patterns tailored to library Linked Data; - That data and systems designers design enhanced user services based on Linked Data capabilities, create URIs for the items in library datasets, develop policies for managing RDF vocabularies and their URIs, and express library data by re-using or mapping to existing Linked Data vocabularies; - That librarians and archivists preserve Linked Data element sets and value vocabularies and apply library experience in curation and long-term preservation to Linked Data datasets.