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- paper-14 type InProceedings.
- paper-14 label "An FCA Framework for Knowledge Discovery in SPARQL Query Answers".
- paper-14 sameAs paper-14.
- paper-14 abstract "Formal concept analysis (FCA) is used for knowledge discovery within data. In FCA, concept lattices are very good tools for classification and organization of data, hence, they enable the user to visualize the answers of its SPARQL query as concept lattices instead of the usual answer formats such as: RDF/XML, JSON, CSV, and HTML. Consequently, in this work, we apply FCA to reveal hidden relations within SPARQL query answers by means of concept lattices.".
- paper-14 hasAuthorList authorList.
- paper-14 isPartOf poster-demo-proceedings.
- paper-14 title "An FCA Framework for Knowledge Discovery in SPARQL Query Answers".