Manfred Hauswirth, Digital Enterprise Research Institute (DERI), Ireland


"Streams, Semantics and the Real World"



Short bio:


Manfred Hauswirth is the Vice-Director of the Digital Enterprise Research Institute (DERI), Galway, Ireland and a professor at the National University of Ireland, Galway (NUIG). His research current research focus is on linked data streams, semantic sensor networks, sensor networks middleware, large-scale semantics-enabled distributed information systems and applications. Manfred has also worked extensively in peer-to-peer systems, Internet of things, self-organization and self-management, service-oriented architectures and distributed systems security. He has published over 160 papers in these domains, he has co-authored a book on distributed software architectures and several book chapters on data management and semantics. Manfred is an associate editor of IEEE Transactions on Services Computing, has served in over 180 program committees of international scientific conferences and was program co-chair of the Seventh IEEE International Conference on Peer-to-Peer Computing (IEEE P2P) in 2007, general chair of the Fifth European Semantic Web Conference (ESWC) in 2008, program co-chair of the 12th International Conference on Web Information System Engineering (WISE) in 2011, and program co-chair of the 10th International Conference on Ontologies, DataBases, and Applications of Semantics (ODBASE) in 2011. He is a member of IEEE and ACM and is on the board of WISEN, the Irish Wireless Sensors Enterprise Led Network, the scientific board of the Corporate Semantic Web research center at FU Berlin, and the Scientific Advisory Board of the Center for Sensor Web Technologies (CLARITY) in Dublin, Ireland.





Until recently the virtual world of information sources on the World Wide Web and activities in the real world have always been separated. However, knowledge accessible on the Web (the virtual world) may influence activities in the real world and vice versa, but these influences are usually indirect and not immediate. We still lack general-purpose means to interconnect and link this information in a meaningful and simple way. Additionally, information comes in the form of streams which complicates the data management at all levels - from the Internet of Things (IoT) up to the backend information systems. The increasingly popular Linked Data paradigm provides a great model for data integration. However, supporting this approach from resource-constrained sensors on the IoT to (stream) databases and (stream) reasoning systems, possibly as hosted solutions in the cloud, opens up many genuine research problems that require well-orchestrated and synchronized research efforts in and across research communities. In this talk I will discuss these problems and possible solutions.