首页> 外文会议>International Joint Conference on Artificial Intelligence >When owl: same As isn't the Same Redux: A preliminary theory of identity and inference on the Semantic Web
【24h】

When owl: same As isn't the Same Redux: A preliminary theory of identity and inference on the Semantic Web

机译:猫头鹰:与不一样的redux也一样:语义网络上的身份和推理的初步理论

获取原文

摘要

The Web changes knowledge representation in a number of surprising ways, and decentralized knowledge representation systems such as the Semantic Web will require a theory of identity for the Web beyond current use of same As links between various data-sets. We propose that one problem, as posed by the semantics of same As in OWL, is enshrining a metaphysical notion of individual identity into the formal semantics of the logic that prevents universal identity linking across semantic roles. However, as shown by languages such as RDF and KIF, a metaphysics-free semantics is possible that can handle both classes and properties as first-class citizens of the universe of discourse that can have identity statements and so produce valid inferences. We empirically analyze the behavior of identity and inference on the Semantic Web currently in order to analyze the size of the problem, and show the non-normal distribution of equivalence classes inference produces. We also show via a human experiment how inference leads to more difficulty in judgments about identity by individual experts, yet adding experts leads to fairly reasonable results, even over inferred triples.
机译:Web更改了许多令人惊讶的方式的知识表示,并且分散的知识表示系统(如语义Web)将需要一个超越当前使用与各种数据集之间的链接相同的标识的标识理论。我们提出了一个问题,如猫头鹰的语义所带来的一个问题正在宣布个人身份的形而上学概念到逻辑的正式语义中,以防止跨越语义角色的普遍身份。然而,如RDF和KIF等语言所示,可以使一种无形的语义可以处理可以具有可以具有身份陈述的话语宇宙的一流公民,因此可以具有身份陈述,因此产生有效的推论。我们经验分析了当前对语义网络上的身份和推断的行为,以分析问题的大小,并显示了等效类推断的非正常分布。我们还通过人类实验表现出在各个专家的判断中推理的推理导致更多难度,但即使在推断的三元组织上,也可以将专家提供相当合理的结果。

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