<?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%">David Carral</style></author><author><style face="normal" font="default" size="100%">Simon Scheider</style></author><author><style face="normal" font="default" size="100%">Krzysztof Janowicz</style></author><author><style face="normal" font="default" size="100%">Charles Vardeman</style></author><author><style face="normal" font="default" size="100%">Adila Krisnadhi</style></author><author><style face="normal" font="default" size="100%">Pascal Hitzler</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Philipp Cimiano</style></author><author><style face="normal" font="default" size="100%">Óscar Corcho</style></author><author><style face="normal" font="default" size="100%">Valentina Presutti</style></author><author><style face="normal" font="default" size="100%">Laura Hollink</style></author><author><style face="normal" font="default" size="100%">Sebastian Rudolph</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">An Ontology Design Pattern for Cartographic Map Scaling</style></title><secondary-title><style face="normal" font="default" size="100%">The Semantic Web: Semantics and Big Data, 10th International Conference, ESWC 2013, Montpellier, France, May 26-30, 2013. Proceedings</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Map Scaling</style></keyword><keyword><style  face="normal" font="default" size="100%">Ontology Design Patterns</style></keyword><keyword><style  face="normal" font="default" size="100%">OWL</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2013</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://dx.doi.org/10.1007/978-3-642-38288-8_6</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Springer</style></publisher><volume><style face="normal" font="default" size="100%">7882</style></volume><pages><style face="normal" font="default" size="100%">76–93</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The concepts of scale is at the core of cartographic abstraction and mapping. It defines which geographic phenomena should be displayed, which type of geometry and map symbol to use, which measures can be taken, as well as the degree to which features need to be exaggerated or spatially displaced. In this work, we present an ontology design pattern for map scaling using the Web Ontology Language (OWL) within a particular extension of the OWL RL profile. We explain how it can be used to describe scaling applications, to reason over scale levels, and geometric representations. We propose an axiomatization that allows us to impose meaningful constraints on the pattern, and, thus, to go beyond simple surface semantics. Interestingly, this includes several functional constraints currently not expressible in any of the OWL profiles. We show that for this specific scenario, the addition of such constraints does not increase the reasoning complexity which remains tractable.&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%">Qiu Ji</style></author><author><style face="normal" font="default" size="100%">Peter Haase</style></author><author><style face="normal" font="default" size="100%">Guilin Qi</style></author><author><style face="normal" font="default" size="100%">Pascal Hitzler</style></author><author><style face="normal" font="default" size="100%">Steffen Stadtmüller</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Lora Aroyo</style></author><author><style face="normal" font="default" size="100%">Paolo Traverso</style></author><author><style face="normal" font="default" size="100%">Fabio Ciravegna</style></author><author><style face="normal" font="default" size="100%">Philipp Cimiano</style></author><author><style face="normal" font="default" size="100%">Tom Heath</style></author><author><style face="normal" font="default" size="100%">Eero Hyvönen</style></author><author><style face="normal" font="default" size="100%">Riichiro Mizoguchi</style></author><author><style face="normal" font="default" size="100%">Eyal Oren</style></author><author><style face="normal" font="default" size="100%">Marta Sabou</style></author><author><style face="normal" font="default" size="100%">Elena Paslaru Bontas Simperl</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">RaDON - Repair and Diagnosis in Ontology Networks</style></title><secondary-title><style face="normal" font="default" size="100%">The Semantic Web: Research and Applications, 6th European Semantic Web Conference, ESWC 2009</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://dx.doi.org/10.1007/978-3-642-02121-3_71</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%">Heraklion, Crete, Greece</style></pub-location><volume><style face="normal" font="default" size="100%">5554</style></volume><pages><style face="normal" font="default" size="100%">863–867</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;One of the major challenges in managing networked and dynamic ontologies is to handle inconsistencies in single ontologies, and inconsistencies introduced by integrating multiple distributed ontologies. Our RaDON system provides functionalities to repair and diagnose ontology networks by extending the capabilities of existing reasoners. The system integrates several new debugging and repairing algorithms, such as a relevance-directed algorithm to meet the various needs of the users.&lt;/p&gt;
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