Organization

  • Maribel Acosta, Institute AIFB, Karlsruhe Institute of Technology, Germany
    • PhD student at the Institute AIFB in the Karlsruhe Institute of Technology (KIT), Germany. She holds a Master in Computer Sciences from Universidad Simón Bolívar, with specializations on Databases and Semantic Web technologies, where she developed the thesis “Adaptive techniques to evaluate queries against Linked Data”. Her current research topic is focused on enhancing Semantic Web technologies with humanbased computation, particularly applied to SPARQL query execution. She is one of the organizers of the tutorial on using microtask crowdsourcing for Linked Data management at ESWC2013.
    • maribel.acosta@kit.edu
    • http://www.aifb.kit.edu/web/Maribel_Acosta/en 
  • Lora Aroyo, VU University Amsterdam, the Netherlands
    • Associate Professor at Web & Media Group at the VU University Amsterdam, the Netherlands. Her research focuses on modeling user interests and context (e.g. analyzing user & collection data; enriching collection metadata) and applying them for personalized access to online multimedia collections, e.g. recommendations and personalized search. She has co-organized numerous workshops on personalized access to cultural heritage, e-learning, interactive television, visual interfaces to the social and semantic web (e.g. PATCH, FutureTV, PersWeb, VISSW and DeRIVE). 
    • lora.aroyo@vu.nl
    • http://lora-aroyo.org
  • Abraham Bernstein, University of Zurich, Switzerland
    • Full Professor of informatics at the University of Zurich, Switzerland. His current research focuses on various aspects of the semantic web, collective Intelligence, knowledge discovery, service discovery/matchmaking, and mobile/pervasive computing. His work is based on both social science (organizational psychology/sociology/economics) and technical (computer science, artificial intelligence) foundations. He has worked on mixed human machine settings since his PhD and has recently published an article in CACM on the connection between collective intelligence and computer science.
    • bernstein@ifi.uzh.ch
    • http://www.ifi.uzh.ch/ddis/people/bernstein.html
  • Jens Lehmann, University of Leipzig, Germany
    • Researcher at the University of Leipzig and leads the Machine Learning and Ontology Engineering research group within the AKSW center. His research interests involve around Semantic Web and Machine Learning. He is founder, leader or contributor of several open source projects, including DLLearner, DBpedia, LinkedGeoData, ORE, and OntoWiki. He works/worked in several funded EU projects, e.g. LOD2, LATC, OntoWiki and SoftWiki. Currently, he is the coordinator of the EU research project GeoKnow. Dr. Jens Lehmann authored more than 40 articles in international journals and conferences, which were cited more than 2900 times according to Google Scholar. He served as track chair, panel member and workshop organizer at Semantic Web conferences. Dr. Lehmann has worked on the collaborative extraction from large datasets, e.g. Wikipedia and OpenStreetMap.
    • lehmann@informatik.uni-leipzig. de
    • http://jenslehmann. org
  • Natasha Noy, Stanford University, US
    • Senior Research Scientist at the Stanford Center for Biomedical Informatics Research at Stanford University. She is a principal member of the Protégé group, where she works on tools for ontology management. She also leads the computer-science research at the National Center for Biomedical Ontologies, where she works on community-based approaches to ontology evaluation, review, and alignment. Recently, she has been working on applying crowdsourcing to the problems of ontology management, such as ontology alignment and verification.
    • noy@stanford.edu
    • http://www.stanford.edu/~natalya/
  • Elena Simperl, University of Southampton, United Kingdom
    • Senior lecturer in the Web Science and Internet Group at the University of Southampton. She has been working as a Semantic Web researcher for almost a decade, being involved in over 15 European and national projects in the field, authoring over 75 publications, and serving as chair to several relevant scientific conferences. Elena was the coordinator of the EU research project INSEMTIVES, which studied the characteristics and realization of incentivescompatible semantic applications with the help of social computing techniques, usercentered design, mechanism design, and game mechanics. She currently works on hybrid information management architectures combining human and computational intelligence, and their application to Linked Data.
    • E.Simperl@soton.ac.uk
    • https://sites.google.com/site/elenasimperl/
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