Sofia, 3 Jan 2017
Ontotext has joined the DBpedia Association, which was founded in 2014 to support DBpedia and its global community.
DBpedia is an open, free and comprehensive reference database that extracts structured information from Wikipedia and makes it available on the Semantic Web. In this way, you can make sophisticated queries against Wikipedia. You can also link the different data sets on the Web to Wikipedia data. As a result, the huge amounts of information in Wikipedia can be used in new and interesting ways.
Since its release in 2007, DBpedia has been constantly improved and extended by the efforts of a large international community.
Ontotext has already been involved in a number of initiatives such as hosting the Bulgarian DBpedia, participating in the DBpedia Ontology and Quality Committee, as well as contributing to the DBpedia mappings and ontology. Now, being a member of the Association, Ontotext will further support DBpedia’s mission to provide important, freely accessible and reusable data for both research and commercial purposes.
By serving its knowledge base as Linked Open Data (LOD) on the Web and defining stable URIs for millions of concepts, DBpedia has become one of the central interlinking hubs of the Semantic Web. The resulting Web of Data currently consists of several billion RDF triples and covers domains such as geographic information, people, companies, online communities, films, music, books, scientific publications, etc.
Ontotext uses DBpedia, Geonames and other LOD sources in many of its projects. The DBPedia data is used in solutions, based on Ontotext’s Dynamic Semantic Publishing (DSP) platform. The DBPedia graph connectivity is used for disambiguation of entities and for recommendations in the DSP platform. The News Annotation tagging service, as part of Ontotext’s S4 cloud platform, generates metadata that includes DBPedia identifiers. Information from DBpedia is presented in the Topic pages of the News on the Web (NOW) semantic news demonstrator. DBpedia is also one of the datasets used in the FactForge service that represents a hub for open data and news about people, organizations and locations.
By becoming a sponsor, Ontotext reconfirms its commitment to contribute to LOD in general and DBpedia in particular as a major focal point for research and expertise related to machine learning, natural language processing, and knowledge management.