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Post-Doc position at INRIA : Social network analysis and formal models of tagging activities to assist technology monitoring and other corporate intelligence activities

From: Fabien Gandon <Fabien.Gandon@sophia.inria.fr>
Date: Wed, 25 Mar 2009 12:13:47 +0100
Message-ID: <49CA11EB.1010603@sophia.inria.fr>
To: www-rdf-interest@w3.org, semantic-web@w3.org, seweb-list@lists.deri.at
*Social network analysis and formal models of tagging activities to
assist technology monitoring and other corporate intelligence activities*
Position type: Post-doctoral Fellow
Functional area: Sophia-Antipolis
Research theme: Cognitive systems
Project: EDELWEISS

*Environment*
Edelweiss research team at INRIA Sophia-Antipolis
http://www-sop.inria.fr/edelweiss/

*Mission*
The Edelweiss research team conducts research in the domain of
graph-based knowledge representation and inference systems applied in
particular to semantic web search engines and inference engines. The
team is currently focusing its application field to technology watch,
market intelligence and scientific monitoring using latest web 2.0 tools
to assist these activities fostering expert networks and corporate
social tagging. Unfortunately, on the one hand, Web 2.0 tools exhibit
limits when it comes to automating tasks or controlling processes, as
usually required in a corporate environment. And, on the other hand,
more structured information systems often suffer from usability and
knowledge capture issues. Thus a challenge of this post-doctoral subject
is to reconcile viral new web applications with formal representations
and in particular to study how to leverage the analysis of social graphs
with their formal representation using ontologies to provide new
functionalities in the information systems used for corporate intelligence.

More precisely, scientific challenges include:
(1) identify graph operators leveraging formal knowledge representations
to detect structures and provide indicators relevant to intelligence
analysis ( weak signal, communities of interest, renown experts,
emerging fields, expert matching, network structures, etc.)
(2) identify and design functionalities leveraging these indicators to
ease intelligence processes and respect corporate constraints (trust and
privacy enforcement, targeted notification of events , network
stimulation, assist the emergence of new communities)
(3) bridge social network, web tools data structures (blogs, wiki,
bookmark, etc.) , tagging based indexing schemes and ontology-based
knowledge bases, both in their representations and in the processing
that could exploit the links between these structures (e.g. detect
expertise combining graph-based social network analysis and
linguistic-based tagging cloud clustering)

*Skills and profile*
The candidate will have to use semantic web formalisms, latest web
standards and web 2.0 new tools and practices.
Knowledge in graph-based representations, graph processing and social
network analysis would be interesting.
Knowledge in trust, reputation and privacy systems is also interesting.
Technologies used in the project include: JAVA J2EE, XML, RDF/S, OWL,
SPARQL, RDFa, GRDDL.
The candidate must be fluent in at least one of these languages:
English, French.

Online application:
http://www.inria.fr/travailler/mrted/en/postdoc/details.html?id=PNGFK026203F3VBQB6G68LOE1&LOV5=4508&LOV6=4513&LG=EN&Resultsperpage=20&nPostingID=3060&nPostingTargetID=6920&option=52&sort=DESC&nDepartmentID=19

-- 
Fabien - http://fabien.info
Received on Wednesday, 25 March 2009 11:15:35 GMT

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