Τίτλος: Effective and Scalable Spatial RDF Data Management and Growth
Ομιλητής: Νίκος Μαμουλής, Καθηγητής, ΤΜΗΥΠ, Πανεπιστήμιο Ιωαννίνων
Ημερομηνία-χώρος: Παρασκευή 16 Απριλίου, 3-5μμ
Περίληψη: Huge geospatial datasets are available on the Web (e.g., OpenStreetMap, US Census Bureau files). LinkedGeoData is an ongoing effort to enrich the Semantic Web with a spatial dimension, using information collected by the OpenStreetMap project. In addition, large bases with common knowledge facts in the form of RDF graphs, such as YAGO and DBpedia, include millions of geo-tagged entities. Such large, geographically-enriched RDF graphs demand effective and scalable management, maintenance, and growth. In this talk, I will present our efforts in this direction, which can be divided in two categories. The first one includes our research on indexing existing spatial RDF knowledge bases, in order to support effective and efficient structured and keyword-based search. The second category includes our work on spatial interlinking of different datasets, aiming at the growth of knowledge bases by integrating data from different sources. Directions for future research will also be discussed.
Σχετικά με τον ομιλητή: Nikos Mamoulis is a Professor at the Department of Computer Science and Engineering at the University of Ioannina, which he joined in 2014. Before that he was a Professor of Computer Science at the University of Hong Kong. His main research interests are in the management, search and analysis of complex data, with a focus on spatially enriched data. He served as PC co-chair of SSTD 2009, COMAD 2013, and HDMS 2014 and as a general chair of SSDBM 2008. He has been an Associate Editor of the VLDB Journal, IEEE Transactions on Knowledge and Data Engineering, Knowledge and Information Systems, and an Editorial Board Member of Geoinformatica Journal. He has published over 200 papers in international conferences and journals of data management and mining.