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Reasoning Web International Summer School

Reasoning Web 2013: Reasoning Web. Semantic Technologies for Intelligent Data Access pp 1–90Cite as

Introduction to Linked Data and Its Lifecycle on the Web

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8067))

Abstract

With Linked Data, a very pragmatic approach towards achieving the vision of the Semantic Web has gained some traction in the last years. The term Linked Data refers to a set of best practices for publishing and interlinking structured data on the Web. While many standards, methods and technologies developed within by the Semantic Web community are applicable for Linked Data, there are also a number of specific characteristics of Linked Data, which have to be considered. In this article we introduce the main concepts of Linked Data. We present an overview of the Linked Data lifecycle and discuss individual approaches as well as the state-of-the-art with regard to extraction, authoring, linking, enrichment as well as quality of Linked Data. We conclude the chapter with a discussion of issues, limitations and further research and development challenges of Linked Data. This article is an updated version of a similar lecture given at Reasoning Web Summer School 2011.

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  1. AKSW, Institut für Informatik, Universität Leipzig, Pf 100920, 04009, Leipzig, Germany

    Sören Auer, Jens Lehmann, Axel-Cyrille Ngonga Ngomo & Amrapali Zaveri

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    Sebastian Rudolph

  2. Department of Computer Science, University of Oxford, Wolfson Building, Parks Road, OX1 3 QD, Oxford, UK

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  3. Department of Computer Science, Vrije Universiteit Amsterdam, de Boelelaan 1081a, 1081 HV, Amsterdam, The Netherlands

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Auer, S., Lehmann, J., Ngonga Ngomo, AC., Zaveri, A. (2013). Introduction to Linked Data and Its Lifecycle on the Web. In: Rudolph, S., Gottlob, G., Horrocks, I., van Harmelen, F. (eds) Reasoning Web. Semantic Technologies for Intelligent Data Access. Reasoning Web 2013. Lecture Notes in Computer Science, vol 8067. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39784-4_1

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