Journal of Web Semantics calls for papers on "Knowledge Graphs"
News from the research group Knowledge-Based Systems of January 24, 2015
Journal of Web Semantics calls for papers on "Knowledge Graphs"
Knowledge graphs are large networks of entities, their semantic types, properties, and relationships between entities. They have become a powerful asset for search, analytics, recommendations, and data integration. Rooted in academic research and community projects such as DBpedia, Freebase, Yago, BabelNet, ConceptNet, Nell, Wikidata, WikiTaxonomy, and others, knowledge graphs are now intensively used at big industrial stakeholders. Examples are the Google Knowledge Graph, Facebook's Graph Search, Microsoft Satori, Yahoo Knowledge, as well as thematically specialized knowledge bases in business, finance, life sciences, and more. Many of these knowledge sources are available as Linked Open Data or RDF exports.
The goal of this special issue is to provide a stage for research on recent advances in knowledge graphs and their underlying semantic technologies. Traditional challenges of scalability, information quality, and data integration are of interest, but also specific projects that publish, study, or use knowledge graphs in innovative ways.
Further details are found in the call for papers.- More info at: http://bit.ly/jwskg