<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Raghava Mutharaju</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Philippe Cudré-Mauroux</style></author><author><style face="normal" font="default" size="100%">Jeff Heflin</style></author><author><style face="normal" font="default" size="100%">Evren Sirin</style></author><author><style face="normal" font="default" size="100%">Tania Tudorache</style></author><author><style face="normal" font="default" size="100%">Jérôme Euzenat</style></author><author><style face="normal" font="default" size="100%">Manfred Hauswirth</style></author><author><style face="normal" font="default" size="100%">Josiane Xavier Parreira</style></author><author><style face="normal" font="default" size="100%">James A. Hendler</style></author><author><style face="normal" font="default" size="100%">Guus Schreiber</style></author><author><style face="normal" font="default" size="100%">Abraham Bernstein</style></author><author><style face="normal" font="default" size="100%">Eva Blomqvist</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Very Large Scale OWL Reasoning through Distributed Computation</style></title><secondary-title><style face="normal" font="default" size="100%">11th International Semantic Web Conference (ISWC 2012), Proceedings, Part II</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Distributed Reasoning</style></keyword><keyword><style  face="normal" font="default" size="100%">Ontology Classification</style></keyword><keyword><style  face="normal" font="default" size="100%">OWL EL</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://dx.doi.org/10.1007/978-3-642-35173-0_30</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Springer</style></publisher><pub-location><style face="normal" font="default" size="100%">Boston, MA, USA</style></pub-location><volume><style face="normal" font="default" size="100%">7650</style></volume><pages><style face="normal" font="default" size="100%">407–414</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p class=&quot;rtejustify&quot;&gt;Due to recent developments in reasoning algorithms of the&amp;nbsp;various OWL profiles, the classification time for an ontology has come&amp;nbsp;down drastically. For all of the popular reasoners, in order to process&amp;nbsp;an ontology, an implicit assumption is that the ontology should fit in&amp;nbsp;primary memory. The memory requirements for a reasoner are already&amp;nbsp;quite high, and considering the ever increasing size of the data to be&amp;nbsp;processed and the goal of making reasoning Web scale, this assumption&amp;nbsp;becomes overly restrictive. In our work, we study several distributed&amp;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.&lt;/p&gt;
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Prateek Jain</style></author><author><style face="normal" font="default" size="100%">Pascal Hitzler</style></author><author><style face="normal" font="default" size="100%">Amit P. Sheth</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Pavel Shvaiko</style></author><author><style face="normal" font="default" size="100%">Jérôme Euzenat</style></author><author><style face="normal" font="default" size="100%">Fausto Giunchiglia</style></author><author><style face="normal" font="default" size="100%">Heiner Stuckenschmidt</style></author><author><style face="normal" font="default" size="100%">Ming Mao</style></author><author><style face="normal" font="default" size="100%">Isabel F. Cruz</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Flexible Bootstrapping-Based Ontology Alignment</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the 5th International Workshop on Ontology Matching (OM-2010), Shanghai, China, November 7, 2010</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2010</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://ceur-ws.org/Vol-689/om2010_poster9.pdf</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">CEUR-WS.org</style></publisher><pub-location><style face="normal" font="default" size="100%">Shanghai, China</style></pub-location><volume><style face="normal" font="default" size="100%">689</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;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.&lt;/p&gt;
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