Interesting article on multilingual Linked Open Data patterns

It is accessible from the Semantic Web Journal the paper Multilingual Linked Open Data Patterns by Jose Emilio Labra Gayo - Department of Computer Science. University of Oviedo -, Dimitris Kontokostas and Sören Auer - Universität Leipzig, Institut für Informatik, AKSW.

The paper presents a survey of patterns and best practices to publish multilingual Linked Data and identifies some issues to take into account. The increasing publication of Linked Data makes the vision of the Semantic Web a probable reality. Although it may seem that the web of data is inherently multilingual, data usually contains labels, comments, descriptions, etc. that depend on the natural language used. When linked data appears in a multilingual setting,

As a use case, the paper describes the patterns employed in DBpediaAGROVOC and Eurovoc.