8 research outputs found

    The role of ontology engineering in linked data publishing and management: an empirical study

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    In this article the authors evaluate the adoption and applicability of established ontology engineering results by the Linked Data providers' community. The evaluation relies on a combination of qualitative and quantitative methods; in particular, the authors conducted an analytical survey containing structured interviews with data publishers in order to give an account of the current ontology engineering practice in Linked Data provisioning, and compared and expanded our findings with statistics on ontology development and usage provided by the Billion Triple Challenges datasets from 2012 (using the vocab.cc platform) and from 2014 and other related tools. The findings of the evaluation allow data practitioners and ontologists to yield a better understanding of the conceptual part of the LOD Cloud; and form the basis for the definition of purposeful, empirically grounded guidelines and best practices for developing, managing and using ontologies in the new application scenarios that arise in the context of Linked Data.</p

    Industry-led standardization as private governance?: A critical reassessment of the digital video broadcasting project's success story

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    Industry-led technical standardization is often cited as an example for private governance. And the Digital Video Broadcasting (DVB) Project is often presented as a particularly successful case of such governance without government. The successes of the industry-led DVB Project have often been cited as evidence for the superior governance capacity of private industry. While the commercial and engineering success of the DVB Project is unequivocal, this chapter raises the question whether it has been equally successful in governing a complex sector that is confronted by a range of market failures, with direct implications for important public policy objectives such as media pluralism and diversity
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