Browsing by Author "Sharma, Kumar"

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    Linking Library Data: A Linked Data Based Approach
    (INFLIBNET Centre, Gandhinagar, 2014-09-25) Sharma, Kumar; Marjit, Ujjal; Biswas, Utpal
    In order to bring library resources into the web the data must be rendered into the underlying representation format provided by Semantic Web technology. In doing so library data have become a part of Linking Open Data (LOD) project, participating into a globally interlinked data hub. In this article, we present how Linked Data approach has been used to represent and publish library data into the Web of Data. Moreover, the library community can thus be influenced by the benefits provided by Linked Data. It avails linking and sharing information with external sources, data enrichment, and reusing the resources among libraries.
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    Publishing MARC 21 Format for Bibliographic Data as Linked Data With Provenance
    (INFLIBNET Centre3, 2013-03-23) Marjit, Ujjal; Sharma, Kumar; Biswas, Utpal
    Publishing Bibliographic data as Linked Data into the Web of Data provides information that are rich in semantics and syntax. Linked Data approach allows machine to analyse the data without human intervention. Data becomes reusable and publicly revealed into the web. Such data are always shareable among different data sources. Data that are published into the Web of Data can be increased in size. In spite of having meaningful and structured data into the web, their metadata or provenance are available at a minimum rate. In order to provide the utility and the glimpse of the data, the enquiry such as, what a dataset will contribute, who published it, their access mechanisms and licensing information are essential for the data consumers. In this paper, we present an approach for publishing MARC 21 Format for Bibliographic data as Linked Data with Provenance. We believe that the provenance information will help data consumers, mainly in library domains, to determine the quality & uniformity of the bibliographic information.