@conference {160,
	title = {Very Large Scale OWL Reasoning through Distributed Computation},
	booktitle = {11th International Semantic Web Conference (ISWC 2012), Proceedings, Part II},
	volume = {7650},
	year = {2012},
	pages = {407{\textendash}414},
	publisher = {Springer},
	organization = {Springer},
	address = {Boston, MA, USA},
	abstract = {<p class="rtejustify">Due to recent developments in reasoning algorithms of the\&nbsp;various OWL profiles, the classification time for an ontology has come\&nbsp;down drastically. For all of the popular reasoners, in order to process\&nbsp;an ontology, an implicit assumption is that the ontology should fit in\&nbsp;primary memory. The memory requirements for a reasoner are already\&nbsp;quite high, and considering the ever increasing size of the data to be\&nbsp;processed and the goal of making reasoning Web scale, this assumption\&nbsp;becomes overly restrictive. In our work, we study several distributed\&nbsp;classification approaches for the description logic EL+ (a fragment of OWL 2 EL profile). We present the lessons learned from each approach, our current results, and plans for future work.</p>
},
	keywords = {Distributed Reasoning, Ontology Classification, OWL EL},
	doi = {10.1007/978-3-642-35173-0_30},
	url = {http://dx.doi.org/10.1007/978-3-642-35173-0_30},
	author = {Raghava Mutharaju},
	editor = {Philippe Cudr{\'e}-Mauroux and Jeff Heflin and Evren Sirin and Tania Tudorache and J{\'e}r{\^o}me Euzenat and Manfred Hauswirth and Josiane Xavier Parreira and James A. Hendler and Guus Schreiber and Abraham Bernstein and Eva Blomqvist}
}
@conference {408,
	title = {Flexible Bootstrapping-Based Ontology Alignment},
	booktitle = {Proceedings of the 5th International Workshop on Ontology Matching (OM-2010), Shanghai, China, November 7, 2010},
	volume = {689},
	year = {2010},
	publisher = {CEUR-WS.org},
	organization = {CEUR-WS.org},
	address = {Shanghai, China},
	abstract = {<p>BLOOMS (Jain et al, ISWC2010, to appear) is an ontology alignment system which, in its core, utilizes the Wikipedia category hierarchy for establishing alignments. In this paper, we present a Plug-and-Play extension to BLOOMS, which allows to flexibly replace or complement the use of Wikipedia by other online or offline resources, including domain-specific ontologies or taxonomies. By making use of automated translation services and of Wikipedia in languages other than English, it makes it possible to apply BLOOMS to alignment tasks where the input ontologies are written in different languages.</p>
},
	url = {http://ceur-ws.org/Vol-689/om2010_poster9.pdf},
	author = {Prateek Jain and Pascal Hitzler and Amit P. Sheth},
	editor = {Pavel Shvaiko and J{\'e}r{\^o}me Euzenat and Fausto Giunchiglia and Heiner Stuckenschmidt and Ming Mao and Isabel F. Cruz}
}
