猪病本体的构建及SWRL推理研究

针对猪病知识特点,采用OWL DL语言构建猪病本体,利用SWRL规则语言的表达能力,定义猪病推理规则,并给出了几种可实现的推理功能,借助Jess推理引擎实现了猪病知识诊断推理。结果表明,将SWRL规则引入猪病本体中,为建立高智能、可共享与复用的猪病知识库和诊断规则库提供了有效途径。     

基于地理本体和SWRL的地理时空信息与时空推理规则表达

在地理本体和SWRL理论的基础上,研究了地理本体如何表达地理时空信息的语义关系及时空关系和通过SWRL表达的相应时空推理规则,从而为时空推理奠定了坚实的基础。     

A cloud computing based SWRL distributed reasoning framework

With the explosion of semantic web technologies, large amounts of OWL ontologies are common place. Conventional rule engines inevitably meet the bottleneck of computing performance and scalability. A cloud computing based SWRL distributed reasoning framework named CloudSWRL is proposed. Based on the Hadoop open-source framework and SWRL semantics, the storage schema for OWL ontologies is designed to implement efficient data retrieving from HBase. Some novel data models for SWRL rules and intermediate data are defined. At last, a MapReduce paradigm based distributed SWRL reasoning algorithm is proposed under DL-safe restriction. An experiment on a simulation environment shows our framework is more efficient and scalable than conventional rule engines when reasoning over large-scale of OWL data.     

基于本体与SWRL的鳜鱼疾病诊断知识表示与语义推理

专家系统中的计算机推理技术不能有效的解决推理问题,使得专家系统的智能化推理问题一直得不到有效的解决,语义网中本体和语义推理等相关技术的研究提供了完整的概念定义和概念组织关系,并实现了语义层次上的智能推理识。针对鳜鱼疾病的诊断特点,本文构建了鳜鱼诊断本体与SWRL推理规则,为鱼病诊断专家系统建立高智能、可共享与复用的诊断推理规则库提供了参考。