The emerging web of linked data

  • Auer S
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Abstract

Over the past 4 years, the semantic web activity has gained momentum with the widespread publishing of structured data as RDF. The Linked Data paradigm has therefore evolved from a practical research idea into a very promising candidate for addressing one of the biggest challenges in the area of the Semantic Web vision: the exploitation of the Web as a platform for data and information integration. To translate this initial success into a world-scale reality, a number of research challenges need to be addressed. While many standards, methods and technologies developed within the Semantic Web activity are applicable for Linked Data, there are also a number of specific characteristics of Linked Data, which have to be considered. In this talk we present an overview of the Linked Data life-cycle and discuss some promising approaches with regard to extraction, storage and querying, authoring, linking, enrichment, quality analysis, evolution, as well as search and exploration of Linked Data.

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Auer, S. (2011). The emerging web of linked data (pp. 1–1). Association for Computing Machinery (ACM). https://doi.org/10.1145/1980822.1980823

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