Linked Data - The Story So Far

By Christian Bizer, Tom Heath, Tim Berners-Lee. International Journal on Semantic Web and Information Systems (IJSWIS), 2009

5,787 citations recorded by the source corpus.

The term “Linked Data” refers to a set of best practices for publishing and connecting structured data on the Web. These best practices have been adopted by an increasing number of data providers over the last three years, leading to the creation of a global data space containing billions of assertions— the Web of Data. In this article, the authors present the concept and technical principles of Linked Data, and situate these within the broader context of related technological developments. They describe progress to date in publishing Linked Data on the Web, review applications that have been developed to exploit the Web of Data, and map out a research agenda for the Linked Data community as it moves forward.

Subfields: Artificial Intelligence, Computer Networks and Communications, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/9f54a0057d0694bc7d1dcf69d186e313ca92775c

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Citations in the corpus

Gateways to the FANTOM5 promoter level mammalian expression atlas (2015, background): “Nanopublications expose individual records allowing automatic integration with any other linked data [56,57] and for citation tracking of their impact [58].”
Why Linked Data is Not Enough for Scientists (2010, background): “The term Linked Data refers to a set of best practices for publishing and connecting structured data on the Web [3],”
Open Knowledge Extraction Challenge (2015, background): “The Linked Data movement [1] kicked-off the vision by realising a key bootstrap in publishing machine understandable information mainly taken from structured data (typically databases) or semi-structured data (e.”
Domain-specific Knowledge Extraction from the Web of Data (2018, methodology): “It follows four principles in publishing8 [Bizer et al. 2009] and interlinking data on the Web.”
An Introduction to Duplicate Detection (2010, background): “The semantic web community introduces and advocates the concept of linked open data (LOD) [Bizer et al., 2009b].”
PIDGIN: ontology alignment using web text as interlingua (2013, background): “Therefore, the need for automatic alignment of categories and relations across these and many other heterogeneous KBs is now greater than ever, and this remains one of the core unresolved challenges of the Linked Data movement [5].”
Diversified Stress Testing of RDF Data Management Systems (2014, background): “With the proliferation of very large, heterogeneous RDF datasets such as those in the Linked Open Data (LOD) cloud [6], there is increasing demand for high-performance RDF data management systems.”
Entity Linking at Web Scale (2012, background): “Linking each textual argument string to its corresponding Wikipedia entity, known as entity linking (Bunescu and Pas¸ca, 2006; Cucerzan, 2007), would offer ben-eﬁts such as semantic type information, integration with linked data resources (Bizer et al., 2009), and disambiguation (see Figure 1).”
YummyData: providing high-quality open life science data (2018, positive): “In order to cope with such a wide range of representations and formats, approaches based on Linked Data have been proposed (1) and now partially adopted (2).”
Executing SPARQL Queries over the Web of Linked Data (2009, background): “An increasing amount of data is published on the Web according to the Linked Data principles [1,2].”
Machine learning approaches and databases for prediction of drug–target interaction: a survey paper (2020, methodology): “In [117], instead of using a bipartite network to represent the DTI, a Tripartite Linked Network [117], derived from the existing linked open datasets in the biomedical domain [125] were used for new DTI predictions.”
Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL (2011, neutral): “[Bizer et al. 2009] C. Bizer, T. Heath and T. Berners-Lee.”
Enabling the geospatial Semantic Web with Parliament and GeoSPARQL (2012, background): “The principles of Linked Open Data, detailed in [5], encourage a set of best practices for publishing and connecting structured data on the Web.”
A Review of Relational Machine Learning for Knowledge Graphs (2015, methodology): “xample knowledge graph. Nodes represent entities, edge labels represent types of relations, edges represent existing relationships. of it have been achieved. In particular, the concept of linked data [13, 14] has gained traction, as it facilitates publishing and interlinking data on the Web in relat”
News events prediction using Markov logic networks (2018, background): “The most important current standards for ontology representation express information as linked data [43].”
Introducing Wikidata to the Linked Data Web (2014, background): “A key characteristic of linked open data is the interconnection of datasets [1].”
IoT-Based Big Data Storage Systems in Cloud Computing: Perspectives and Challenges (2017, background): “Linked data [75] is defined as some typed links between data from different data sources, such as different databases or data nodes by means of the Web.”