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    Published on 6.12.2016 by Equipo GNOSS

    2017 Trends for Semantic Web and Semantic Technologies - DATAVERSITY

    Article from Dataversity, published by By  , November 29, 2016.

    "Are you hearing the term “Semantic Web” as often as you may have in the past?  There’s no denying the importance of the technologies, standards, concepts, and collaborations that define the Semantic Web proper and all that is affiliated with it or grown out of it. [...] As we head into 2017, DATAVERSITY® wanted to follow up the state of the Semantic Web and Semantic technologies (both standards-body related and not)."

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    Published on 31.10.2013 by Pablo Hermoso de Mendoza González

    Semantics for Big Data

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    Semantics for Big Data

     


    AAAI 2013 Fall Symposium; Westin Arlington Gateway in Arlington, Virginia, November 15-17, 2013.

    Workshop Description and Scope

    One of the key challenges in making use of Big Data lies in finding ways of dealing with heterogeneity, diversity, and complexity of the data, while its volume and velocity forbid solutions available for smaller datasets as based, e.g., on manual curation or manual integration of data. Semantic Web Technologies are meant to deal with these issues, and indeed since the advent of Linked Data a few years ago, they have become central to mainstream Semantic Web research and development. We can easily understand Linked Data as being a part of the greater Big Data landscape, as many of the challenges are the same. The linking component of Linked Data, however, puts an additional focus on the integration and conflation of data across multiple sources.

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