A Practical Approach for Scalable Conjunctive Query Answering on Acyclic EL+ Knowledge Base

Presented at: 8th International Semantic Web Conference (ISWC2009)

by Jing Mei, Shengping Liu, Guo Tong Xie, Aditya Kalyanpur, Achille Fokoue

Webpage: http://data.semanticweb.org/pdfs/iswc/2009/paper240.pdf
Webpage: http://dx.doi.org/10.1007/978-3-642-04930-9_26
Webpage: http://www.springerlink.com/content/5526p66352858x20

Conjunctive query answering for EL++ ontologies has recently drawn much attention, as the Description Logic EL++ captures the expressivity of many large ontologies in the biomedical domain and is the foundation for the OWL 2 EL profile. In this paper, we propose a practical approach for conjunctive query answering in a fragment of EL++, namely acyclic EL+, that supports role inclusions. This approach can be implemented with low cost by leveraging any existing relational database management system to do the ABox data completion and query answering. We conducted a preliminary experiment to evaluate our approach using a large clinical data set and show our approach is practical.

A Practical Approach for Scalable Conjunctive Query Answering on Acyclic EL+ Knowledge Base was presented at this event.

Keywords: Semantic Web


Resource URI on the dog food server: http://data.semanticweb.org/conference/iswc/2009/paper/research/240


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