Saeedeh Shekarpour
| Saeedeh Shekarpour Johannisgasse 26, Zimmer 5-22 04103 Leipzig
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News
LOD2 Webinar Series: LIMES ? Discovery of Links across Knowledge Bases
The 1st version of the LOD2 Stack has been published in September 2011 in the form of an LOD2 Stack demo and the downloadable LOD2 Stack virtual machine image – additional details and the instructions on installing the LOD2 Stack from scratch are available in the How-To-Start document. Born from the wish to make linking [...]
LOD2 Plenary Meeting: WebID and Authorization SIG
Today morning, we started the main LOD2 plenary meeting in Vienna. The first half day session the WebID special interest group discussed about WebID based single sign for the LDO2 stack and authorization. The challenge here is to provide a interoperable authorization layer which describe user, groups / roles and access to different parts of the stack as well as the managed knowledge bases. We agreed on the following short and long-time goals and activities: WebID registration service and stack internal authorization policy.
I-Semantics deadlines approaching (research/application papers and Linked Data Cup)
Several deadlines regarding the I-Semantics 2012 are approaching and we would like to give a gentle reminder to all who are thinking about a submission that now would be a good time to start writing The deadline for research and application papers (8 pages for full papers) is April 13th, 2012. Note that the abstract [...]
Research Interests
- Semantic Web
- Search Methods
- Web Mining
- Social Network Analysis
Publications
- “Modeling and Evaluation of Trust with an Extension In Semantic Web”. S. Shekarpour, S. D. Katebi. Web Semantic Journal, Volume 8, Issue 1, Pages 26–36 Elsevier.
- “A Trust Model based on statistical propagation and Fuzzy aggregation for Semantic Web”. S. Shekarpour, S. D. Katebi. EMS 2008, Liverpool, UK.
- “Web Structure mining techniques”. S. Shekarpour, H Abolhasani, S. D. Katebi. IDMC 2007, Amirkabir University, Tehran, Iran.
- Non Finalized publication: “Modeling Equilibria in a Trust network using Game Theory and Nash Equilibrium.