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Sebastian Hellmann

Universität Leipzig

Adapting the DBpedia Ontology to specialized use cases and domains: GitHub?

DBpedia is a crowd-sourced community effort to extract structured information from Wikipedia and make this information available on the Web.  DBpedia allows you to ask sophisticated queries against Wikipedia, and to link the different data sets on the Web to Wikipedia data." is the mission statement of the DBpedia (http://dbpedia.org) knowledge base and community effort. Recently, however, DBpedia has become much more and wider in scope:


One of the great challenge, we are facing now is that the hierarchy and schema of the DBpedia Ontology is well suited for mainstream use cases and community consensus. However, we lack a tool and a methodology for customizing the schema and the hierarchy for exploitation, integration and fusion with data from specialized domains and use cases (e.g. library, media and others). We are currently looking for a solution, so that all stakeholders can customize the schema for their needs, yet still contribute it back and use the community effect. GitHub (and Vincent Driessen's GitFlow, http://danielkummer.github.io/git-flow-cheatsheet/) with its branching model offers a promising direction, which might be adaptable to data and ontologies in the future. 


Sebastian Hellmann (AKSW, Universität Leipzig, Germany, hellmann@informatik.uni-leipzig.de, http://bis.informatik.uni-leipzig.de/SebastianHellmann) finished his Master thesis in 2008 at University of Leipzig and is currently a research fellow for the AKSW research group and also a member of the LOD2 EU project. He is contributor, co-founder and leader of several open source projects including DL-Learner, DBpedia, and NLP2RDF. Sebastian is author of over 15 peer-reviewed scientific publications and was chair at the Open Knowledge Conference in 2011, the Workshop on Linked Data in Linguistics 2012, the Linked Data Cup 2012 and the Multilingual Linked Data for Enterprises 2012 workshop.