Job positionsFrom Kolflow Project(Difference between revisions)
Revision as of 16:27, 11 February 2011Ph.d. Lina/University Of Nantes (open until end of Spring 2011)Ph.d. position : Man-machine collaboration processes for continuous knowledge extraction using distributed semantic wikis. LINA/University of Nantes Original URL This Ph.D. is part of Kolflow, a research project funded by the the French national research agency, starting in 2011 and ending in July 2014. Kolflow aims at building a social semantic space where humans collaborate with smart agents in order to produce knowledge understandable by humans and machines. Humans are able to understand the actions of smart agents. Smart agents are able to understand actions of humans. Kolflow targets the co-evolution of content and knowledge as the result of interactions of humans and machines. If human-machine collaboration can be the key to ensure co-evolution of content and knowledge, such collaboration can fail if not managed. This PhD subject focuses on two aspects of distributed semantic social spaces:
The candidate should have a background in semantic web and distributed systems. Application are open until end of Spring 2011. Contacts : Pascal.Molli@univ-nantes.fr, http://member.acm.org/~pascal.molli, Full Professor, University Of Nantes, Head of GDD Team, Hala.Skaf@univ-nantes.fr , Associate Professor, University of Nantes Ph.D. INRIA/Sophia Antipolis (open until end of Spring 2011)Ph.D. Position: Solving problems upstream and downstream of a distributed query on the semantic web, original URL This Ph.D. is part of Kolflow, a research project funded by the French national research agency and starting in 2011. Its goal is to reduce the overhead of communities in the process of continuously building knowledge by extending collective intelligence with smart agents relying on automated reasoning. It intends to do so by building a social semantic space based on distributed semantic wikis where humans collaborate with smart agents in order to produce knowledge understandable by humans and machines. In this context this Ph.D. subject will look at two aspects of query solving over distributed semantic web data: Opening query-solving mechanisms to users: explaining query-searching process and inferences, and the errors encountered. Suggesting changes to queries, suggesting alternative queries. Explaining performances. Help in formulating queries and understanding of results and resolution process. Handling and explaining the distribution of a query over several sources: Decomposing and routing sub-queries. Following the process. Using this approach to detect conflicts between different contributors. The successful candidate should have a background in semantic Web technologies and linked-data. Applications are open until the end of Spring 2011 Contact: Fabien.Gandon@inria.fr and http://fabien.info |