"Web Ontologies: Lessons Learned from Conceptual Modeling at Scale"
Martin Hepp is a professor of E-business and General Management at the Universität der Bundeswehr Munich and the CEO and Chief Scientist of Hepp Research GmbH. He holds a master's degree in business management and business information systems and a PhD in business information systems from the University of Würzburg (Germany). His key research interests are shared data structures at Web scale, for example Web ontology engineering, both at the technical, social, and economical levels, conceptual modeling in general, and data quality management. As part of his research, he developed the GoodRelations vocabulary, an OWL DL ontology for data interoperability for e-commerce at Web Scale. Since 11/2012, GoodRelations is the e-commerce core of schema.org, the official data markup standard of major search engines, namely Google, Yahoo, Bing, and Yandex. Martin authored more than 80 academic publications and was the organizer of more than fifteen workshops and conference tracks on conceptual modeling, Semantic Web topics, and information systems, and a member of more than sixty conference and workshop program committees, including ECIS, EKAW, ESWC, IEEE CEC/EEE, ISWC, and WWW.
Ever since the introduction of the term "ontology" to Computer Science, the challenges for information exchange, processing, and intelligent behavior on the World Wide Web, with its vast body of content, huge user base, linguistic and representational heterogeneity, and so forth, have been taken as a justification for ontology-related research. However, despite two decades of work on ontologies in this context, very few ontologies have emerged that are used at Web scale in a way compliant with the original proposals by a diverse, open audience.
In this talk, I will analyze the differences between the original idea of ontologies in computer science, and Web ontologies, and analyze the specific economic, social, and technical challenges of building, maintaining, and using socially agreed, global data structures that are suited for the Web at large, also with respect to the skills, expectations, and particular needs of owners of Web sites and potential consumers of Web data.