SBVR Based Representation of SPARQL Queries and SWRL Rules for Analyzing Semantic Relations

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 describing semantic relations we need to explore them on the deep technological level that is not friendly for business users. Semantics of Business Vocabulary and Business Rules (SBVR) gives a possibility of representing OWL 2 ontologies, SWRL rules and SPARQL queries using concepts and semantic formulations expressed in SBVR Structured English language understandable for business users. We suggest formulating derivation rules and queries for analyzing semantic relations as SBVR rules and questions, and transforming them into SWRL and SPARQL.