Optimization of Queries Based on Foundational Ontologies

Using ontologies for enterprise data integration brings an opportunity to use them for efficient data query evaluation. The rationale is that ontologies represent common-sense structures that are reflected also in queries posed by data users and thus can be used for query optimization. This paper presents how proper foundational-ontology-based knowledge can be used to design a generic index, which can help in answering a wide range of queries compliant with the foundational ontology. We discuss several indexing techniques and evaluate our proposal for different UFO-based queries extracted from different query sets.