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.
CITATION STYLE
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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