Abstract
SPARQL queries over semantic web data usually produce list of tuples as answers that may be hard to understand and interpret. Accordingly, this paper focuses on Lattice-Based View Access (LBVA), a framework based on FCA. This framework provides a classification of the answers of SPARQL queries based on a concept lattice, that can be navigated for retrieving or mining specific patterns in query results. In this way, the concept lattice can be considered as a materialized view of the data resulting from a SPARQL query.
| Original language | English |
|---|---|
| Pages (from-to) | 255-266 |
| Number of pages | 12 |
| Journal | CEUR Workshop Proceedings |
| Volume | 1252 |
| Publication status | Published - 1 Jan 2014 |
| Externally published | Yes |
| Event | 11th International Conference on Concept Lattices and Their Applications, CLA 2014 - Kosice, Slovakia Duration: 7 Oct 2014 → 10 Oct 2014 |
Keywords
- Classification
- Formal concept analysis
- Lattice-based views
- SPARQL
- SPARQL query views