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你的语义Web推理是如何完成?

How Incomplete Is Your Semantic Web Reasoner?
课程网址: http://videolectures.net/aaai2010_stoilos_hiw/  
主讲教师: Giorgos Stoilos
开课单位: 牛津大学
开课时间: 2010-09-01
课程语种: 英语
中文简介:
摘要联合查询是许多基于本体的应用程序的关键推理服务。为了提高可扩展性,许多语义web查询应答系统放弃了完整性(即,他们不保证返回所有查询答案)。对于这些系统的设计者和用户来说,了解(可能)丢失了多少信息和什么样的信息可能是有用的,甚至是关键的。我们提出了一种生成测试数据的方法,这种方法至少可以提供这些问题的部分答案,而现有的基准测试并不适合这种目的。除了开发一个形式化问题的通用框架,我们还描述了一些流行本体语言的实用数据生成算法,并从我们的初步评估中给出了一些非常令人鼓舞的结果。
课程简介: Conjunctive query answering is a key reasoning service for many ontology-based applications. In order to improve scalability, many SemanticWeb query answering systems give up completeness (i.e., they do not guarantee to return all query answers). It may be useful or even critical to the designers and users of such systems to understand how much and what kind of information is (potentially) being lost. We present a method for generating test data that can be used to provide at least partial answers to these questions, a purpose for which existing benchmarks are not well suited. In addition to developing a general framework that formalises the problem, we describe practical data generation algorithms for some popular ontology languages, and present some very encouraging results from our preliminary evaluation.
关 键 词: 语义web; 推理
课程来源: 视频讲座网
最后编审: 2021-01-31:nkq
阅读次数: 39