@conference {11,
	title = {Distributed OWL EL Reasoning: The Story So Far},
	booktitle = {Proceedings of the 10th International Workshop on Scalable Semantic Web Knowledge Base Systems, Riva Del Garda, Italy},
	volume = {1261},
	year = {2014},
	month = {10/2014},
	pages = {61-76},
	publisher = {CEUR-WS.org},
	organization = {CEUR-WS.org},
	address = {Riva del Garda, Italy},
	abstract = {<p>Automated generation of axioms from streaming data, such as traffic and text, can result in very large ontologies that single machine reasoners cannot handle. Reasoning with large ontologies requires distributed solutions. Scalable reasoning techniques for RDFS, OWL Horst and OWL 2 RL now exist. For OWL 2 EL, several distributed reasoning approaches have been tried, but are all perceived to be inefficient. We analyze this perception. We analyze completion rule based distributed approaches, using different characteristics, such as dependency among the rules, implementation optimizations, how axioms and rules are distributed. We also present a distributed queue approach for the classification of ontologies in description logic EL+ (fragment of OWL 2 EL).</p>
},
	keywords = {Distributed Reasoning, OWL EL, Scalability},
	author = {Raghava Mutharaju and Pascal Hitzler and Prabhaker Mateti},
	editor = {Thorsten Liebig and Achille Fokoue}
}
