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Conference object . 2015
License: CC BY
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Modelling Library Linked Data In Practice

Authors: Nicolas Prongué; René Schneider;

Modelling Library Linked Data In Practice

Abstract

In this paper we present reflections and recommendations concerning the conversion of library metadata into Linked Data. We will briefly describe the different data models that exist for this purpose and argue their strengths and weaknesses with a special focus on the entification issue, before illustrating this problem with the description of three different ongoing projects. As will be outlined afterwards, it is essential to distinguish at the start of a project between data-driven or user-driven design approaches. As an alternative, the realization of a Linked Data project for bibliographical data might also lead to a hybrid approach were the design process shifts reciprocally between the analysis of the data and the user needs.

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Keywords

Data conversion, Open Data, Data-driven design, Linked Data, Data modelling, User Centered Design

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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