Abstract
SPARQL queries over semantic web data usually produce a huge 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 Formal Concept Analysis, to provide a view using View By clause based on a concept lattice. This lattice can be navigated for retrieving or mining specific patterns in query results.
| Original language | English |
|---|---|
| Pages (from-to) | 49-58 |
| Number of pages | 10 |
| Journal | CEUR Workshop Proceedings |
| Volume | 1232 |
| Publication status | Published - 1 Jan 2014 |
| Externally published | Yes |
| Event | 1st Workshop on Linked Data for Knowledge Discovery, LD4KD 2014 - Co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECMLPKDD 2014 - Nancy, France Duration: 19 Sept 2014 → … |
Keywords
- Formal concept analysis
- Lattice-based views
- SPARQL query views