The linked data principles were proposed 10 years ago and since then have received ever increasing attention from researchers, developers, companies, and governments as a means of data distribution and integration that is consistent with the architecture of the World Wide Web. This last decade has seen an explosion in the availability of data, driven by a range of factors such as open data initiatives worldwide, the increasing use of sensors to create a socalled internet of things, and by continued interest in the concept of big data. In parallel to these trends, the broader Semantic Web vision has also evolved. While the Semantic Web stack was originally seen as rather monolithic and, at times, inaccessible to developers or different technology ecosystems, the RDF data model now appears a more truly lingua franca of data integration, bridging different knowledge representation formalisms, data serializations, conceptualizations, and technology ecosystems. For example, there are now, in addition to XML, bindings of RDF to: • tabular and relational data with the W3C R2RML and the CSV on the Web standards, • JSON with the W3C JSON-LD standard providing a minimally invasive way of equipping standard JSON documents with an RDF mapping preamble, • HTML with RDFa as a mechanism for embedding RDF data into HTML documents.
[1]
Sören Auer,et al.
Integration Strategies for Enterprise Knowledge Graphs
,
2016,
2016 IEEE Tenth International Conference on Semantic Computing (ICSC).
[2]
John Domingue,et al.
The Web of Data: Bridging the Skills Gap
,
2014,
IEEE Intelligent Systems.
[3]
Irlán Grangel-González,et al.
Towards a Semantic Administrative Shell for Industry 4.0 Components
,
2016,
2016 IEEE Tenth International Conference on Semantic Computing (ICSC).
[4]
Daniel E. O'Leary,et al.
Embedding AI and Crowdsourcing in the Big Data Lake
,
2014,
IEEE Intelligent Systems.