Fuzzy queries of social networks with FSA-SPARQL

•FSA-SPARQL: An extension of SPARQL for querying fuzzy RDF datasets.•Fuzzification and Transformation of Social Networks to RDF.•Sentiment Analysis and Topic Detection in Social Networks.•Querying with Fuzzy Connectives and Operators.•Web Tool for Live Data Querying. Social networks have become a source of data which are of interest in all areas, and their querying and analysis is a hot topic in computer science. Our research group has developed a fuzzy extension of the Semantic Web query language SPARQL, called FSA-SPARQL (Fuzzy Sets and Aggregators based SPARQL). This extension provides mechanisms to express fuzzy queries against RDF data. FSA-SPARQL works with social networks. With this aim, FSA-SPARQL enables the transformation and fuzzification of social network API data. Fuzzification of social networks data is automatic and user-defined enabling a wide range of mechanisms for ranking and categorization, including sentiment analysis and topic detection. As a case study, FSA-SPARQL has been used to query three well-known social networks: Twitter, Foursquare and TMDb.