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SBVR Based Representation of SPARQL Queries and SWRL Rules for Analyzing Semantic Relations
| Content Provider | Semantic Scholar |
|---|---|
| Author | Sukys, Algirdas Nemuraite, Lina Paradauskas, Bronius Sinkevicius, Edvinas |
| Copyright Year | 2011 |
| Abstract | Analyzing semantic relations is a cumbersome task because these relations often are distributed over different information sources and hidden in existing relational database structures. Even with Semantic Web ontologies descr ibing semantic relations we need to explore them on the d eep technological level that is not friendly for business users. Semantics of Business Vocabulary and Business Rules (SBVR) gives a possibility of representing OWL 2 ontologie s, SWRL rules and SPARQL queries using concepts and semanti c formulations expressed in SBVR Structured English l anguage understandable for business users. We suggest formu lating derivation rules and queries for analyzing semantic relations as SBVR rules and questions, and transforming them into SWRL and SPARQL. Keywords-semantic relations; SBVR; SPARQL; OWL 2; SWRL. |
| Starting Page | 1 |
| Ending Page | 6 |
| Page Count | 6 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.thinkmind.org/download.php?articleid=bustech_2011_1_10_90014 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |