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FAO's experience in metadata exchange from CDS/ISIS bibliographic databases using XML format, compliant to Dublin Core standard








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    Book (stand-alone)
    Metadata Exchange without pain: the AGRIS AP to harvest and exchange quality metadata 2004
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    This paper focuses on the AGRIS Application Profile (AGRIS AP), a standard created specifically to enhance description, exchange and subsequent retrieval of agricultural Document-Like Information Objects (DLIOs). The AGRIS AP provides a minimum interoperability layer through which agricultural information can be described and exchanged. The standard, developed in light of the new AGRIS vision, offers the flexibility to enhance the quality of description of agricultural information resources. The paper discusses the advantages of the AGRIS AP as opposed to the current standards by pointing out its strengths, its possible applications and how it will be further developed in the future.
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    Implementation of rich metadata formats and semantic tools using DSpace 2008
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    International Conference on Dublin Core and Metadata Applications (DC 2008), September 22nd-26th, 2008 Berlin (Germany)
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    Ontology-based navigation of bibliographic metadata: example of the Food, Nutrition and Agriculture Journal 2007
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    This paper describes the work done within the Food and Agriculture Organization of the United Nations (FAO) on providing an ontology-based navigation to the Food, Nutrition and Agriculture (FNA) Journal. The aim of the revised navigation was to provide more efficient and effective browsing of the Food and Nutrition Publications using a knowledge model to guide the user with concepts and relationships relevant to a specific subject area. With this approach, data from two different bibliographica l databases were reused, by merging and unifying them and make them better accessible to users. A preliminary metadata merge was needed to combine all the information into one system in order to produce a metadata-ontology. Resource Description Framework Schema (RDFS) has been chosen to exploit semantic relationships e.g. the possibilities of browsing the data in different ways (by keywords, categories, authors, etc.), and the creation of a multilingual concept-based advanced search.

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