Large-Scale Reasoning with Semantic Data

Large-Scale Reasoning with Semantic Data

时间： 地点：九龙湖校区计算机楼4楼会议室

报告简介：

Motivated by the recent unparalleled explosion of available data coming from the Web, sensor readings, databases, ontologies reasoning over Semantic Web Data, using MapReduce is an important topic. Such datasets could benefit from the introduction of rule sets encoding commonly accepted rules or facts, application- or domain-specific rules, commonsense knowledge, including spatiotemporal reasoning rules, etc. This raises the question of whether, how, and to what extent knowledge representation methods are capable of handling huge amounts of data for these applications. Results indicate that our methods have good scalability properties and are able to handle a benchmark data-set of 1 billion triples.

报告人简介：

Dr. Sotirios Batsakis is Senior Lecturer at the University of Huddersfield since September 2013. He received a diploma in Computer Engineering and Informatics from the University of Patras, Greece in 2000 with highest distinction, and a Master's degree and a Ph.D. in Electronic and Computer Engineering from the Technical University of Crete in 2008 and 2012 respectively. He has working experience in industry, technical education and research since 2002. His research interests include Knowledge Representation, Semantic Web, Spatial and Temporal representation and reasoning.

计算机网络和信息集成教育部重点实验室（东南大学）