首页> 外文会议>Multi-disciplinary international workshop on artificial intelligence >Integrated Representation of Spatial Topological and Size Relations for the Semantic Web
【24h】

Integrated Representation of Spatial Topological and Size Relations for the Semantic Web

机译:语义网的空间拓扑和大小关系的集成表示

获取原文

摘要

Representing topological information for the Semantic Web often involves qualitative defined natural language terms such as "In". This can be the case when exact coordinates of spatial regions are not available or they are unreliable. Topological spatial relations are the most important aspect of spatial representation and reasoning. In addition to topology, often the exact size of regions is not known as well, but the relations between sizes (e.g., larger, equal) are known. In this work we propose and evaluate an integrated representation of topological relations (RCC-5 and RCC-8) and qualitative size relations using OWL object properties and axioms, combined with reasoning rules expressed using SWRL, embedded into the ontology. Different representations are implemented and evaluated.
机译:表示语义网的拓扑信息通常涉及定性定义的自然语言术语,例如“ In”。当空间区域的精确坐标不可用或它们不可靠时,可能会出现这种情况。拓扑空间关系是空间表示和推理的最重要方面。除了拓扑之外,通常还不知道区域的确切大小,但是大小之间的关系(例如,更大,相等)是已知的。在这项工作中,我们提出并评估了使用OWL对象属性和公理以及结合使用SWRL表示的推理规则的拓扑关系(RCC-5和RCC-8)和定性大小关系的集成表示,并将其嵌入到本体中。实现和评估了不同的表示形式。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号