Conférenciers invités > Jens Lehmann

EXPOSE ANNULÉ et REMPLACÉ PAR CELUI DE SIHEM AMER-YAHIA

Titre de l'exposé

Exploring Geospatial Web Data - The GeoKnow and LinkedGeoData Projects

Résumé

Over the past decade Linked Data has emerged as a model for publishing structured data while geospatial information systems have been around for much longer. Currently, there is a trend for those two areas to move closer together thereby simplifying the publication and integration of geospatial data on the web. The talk will describe those developments in the context of the EU funded GeoKnow (http://geoknow.eu) project as well as the LinkedGeoData (http://linkedgeodata.org) community project. It will describe achievements and challenges towards realising a spatial data web and go on to present a number of specific tools for common operations over geospatial Linked Data.

Dr. Jens Lehmann (http://www.jens-lehmann.org) is a researcher at the University of Leipzig. He is leading the Machine Learning and Ontology Engineering research group within the AKSW center. He obtained a PhD with grade summa cum laude at the University of Leipzig in 2010 and a master degree in Computer Science from Technical University of Dresden in 2006. His research interests involve Semantic Web, machine learning and knowledge representation. He is founder, leader or contributor of several open source projects, including DL-Learner, DBpedia, LinkedGeoData and ORE. He works/worked in several funded projects, e.g. GeoKnow (EU STREP, coordinator), LOD2 (EU IP, workpackage lead), LATC (EU STREP, lead for University of Leipzig) and SoftWiki (BmBF).