Saeedeh Shekarpour
 | Saeedeh Shekarpour Leipzig
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E-MailNews
SANSA 0.7.1 (Semantic Analytics Stack) Released
We are happy to announce SANSA 0.7.1 – the seventh release of the Scalable Semantic Analytics Stack. SANSA employs distributed computing via Apache Spark and Flink in order to allow scalable machine learning, inference and querying capabilities for large knowledge graphs. … Continue reading
More Complete Resultset Retrieval from Large Heterogeneous RDF Sources
Over recent years, the Web of Data has grown significantly. Various interfaces such as LOD Stats, LOD Laundromat and SPARQL endpoints provide access to hundreds of thousands of RDF datasets, representing billions of facts. These datasets are available in different … Continue reading
DL-Learner 1.4 (Supervised Structured Machine Learning Framework) Released
Dear all, The Smart Data Analytics group [1] and the E.T.-db-MOLE sub-group located at the InfAI Leipzig [2] is happy to announce DL-Learner 1.4. DL-Learner is a framework containing algorithms for supervised machine learning in RDF and OWL. DL-Learner can … Continue reading
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.