How does Linked Data change the publishing landscape?

Abstract: Large publishers, such as Wolters Kluwer, tend to be fragmented with each unit operating in different IT environments (e.g. different data repositories with different content architectures). To alleviate this problem, Wolters Kluwer has developed a content architecture to integrate data from different repositories into one or more publishing platforms. Based on the success of this work, we are developing a CMS that not only leverages our content architecture, but also re-uses data available on the web (e.g. list of registered companies to NASDAQ).

Traditionally, Wolters Kluwer uses XML as the underlying technology for its content architecture. This has the disadvantage that both textual content and metadata are stored in the document, thus having an impact on re-use. As a result, we developed a new content architecture based on RDF(S), OWL, SKOS and XHTML and is used to represent legal content (e.g. laws, regulations, etc.). As our content architecture relies on W3C standards, we are able to re-use linked-data by either converting data to our model or by simply re-using content when it meets the 5-star criteria.

Presenter CV: I have a PhD in Ontology Management from the University of Aberdeen. During my studies, I developed two applications; namely CleOn and KOSIMap. The first focused on evaluating the lexical coherence of classes in OWL ontologies based on a thesaurus, while the second focused on mapping entities in two ontologies based on their description logic definition. I was also an active member of the W3C WG that developed SKOS. Since, I have applied semantic web technologies to facilitate the publishing and retrieval of legal content on the Web.

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