Ram D. Sriram
Big Data and Semantic Web Meet Applied Ontology
Since the beginnings of the Semantic Web, ontologies have played key roles in the design and deployment of new semantic technologies. Yet over the years, the level of collaboration between the Semantic Web and Applied Ontology communities has been much less than expected. Within Big Data applications, ontologies appear to have had little impact. On the one hand, the Semantic Web, Linked Data, and Big Data communities can bring a wide array of real problems (such as performance and scalability challenges and the variety problem in Big Data) and technologies (automated reasoning tools) that can make use of ontologies. On the other hand, the Applied Ontology community can bring a large body of common reusable content (ontologies) and ontological analysis techniques. Identifying and overcoming ontology engineering bottlenecks is critical for all communities. In this talk I will briefly discuss the role of ontologies in IoT, followed by a summarization on the 2014 Ontology Summit, whose goal was to provide a platform and opportunity for building bridges between the Semantic Web, Linked Data, Big Data, and Applied Ontology communities. The Summit activities brought together insights and methods from these different communities, synthesize new insights, and disseminate knowledge across field boundaries.
First presented: ASE International Conference on Big Data Science, May 30, 2014, Stanford University
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