Semantic Discovery: Discovering Complex Relationships in Semantic Web

A NSF Medium ITR project

SwetoDblp Applications

Contact Person: Boanerges Aleman-Meza (balemanuga.edu)

SwetoDblp has been used internally (LSDIS Lab) for discovery and ranking of semantic associations. Published or current research that has used or is using SwetoDblp include the following:

• SPARQ2L: Towards Support For Subgraph Extraction Queries in RDF Databases, WWW-2007
• Estimating the Cardinality of RDF Graph Patterns, WWW-2007
• Ontology-Driven Automatic Entity Disambiguation in Unstructured Text, ISWC-2006
• iSPARQL project at DDIS Group at the University of Zurich
• AquaLog at KIM at the Open University, UK
• ExpertFinder - SwetoDblp has been identified as relevant dataset for the Joint Initiative on Extending the FOAF Vocabulary for Expert Finding
• Semantic Annotation and Browsing - LSDIS Lab's demo in ISWC06's website

This material is based upon work supported by the National Science Foundation under Grant No. IIS-0325464 titled "SemDis: Discovering Complex Relationships in Semantic Web". Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.