<?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%">Zhangquan Zhou</style></author><author><style face="normal" font="default" size="100%">Guilin Qi</style></author><author><style face="normal" font="default" size="100%">Chang Liu</style></author><author><style face="normal" font="default" size="100%">Pascal Hitzler</style></author><author><style face="normal" font="default" size="100%">Raghava Mutharaju</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Lluis Godo</style></author><author><style face="normal" font="default" size="100%">Henri Prade</style></author><author><style face="normal" font="default" size="100%">Guilin Qi</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Scale reasoning with fuzzy-EL+ ontologies based on MapReduce</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the IJCAI-2013 Workshop on Weighted Logics for Artificial Intelligence (WL4AI 2013)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2013</style></year></dates><pub-location><style face="normal" font="default" size="100%">Beijing, China</style></pub-location><pages><style face="normal" font="default" size="100%">87-93</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;Fuzzy extension of Description Logics (DLs) allows the formal representation and handling of fuzzy or vague knowledge. In this paper, we consider the problem of reasoning with fuzzy-EL+, which is a fuzzy extension of EL+. We first identify the challenges and present revised completion classification rules for fuzzy-EL+ that can be handled by MapReduce programs. We then propose an algorithm for scale reasoning with fuzzy-EL+ ontologies using MapReduce. Some preliminary experimental results are provided to show the scalability of our algorithm.&lt;/p&gt;
</style></abstract></record></records></xml>