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从目前的标准化现状看,语义Web知识处理技术标准可分为4大类,即知识表示技术标准、知识查询技术标准、知识推理技术标准和知识更新技术标准。语义Web知识表示技术标准采用以XML为基本语法,以RDF(S)为建模技术的OWL语言为主的技术,实现知识的计算机可理解性;语义Web知识查询采用RQL、SPARQL、OWL-QL、OWL SAIQL等技术标准解决传统Web关键字检索中“一词多义、多词一义”的难题,实现语义概念检索;语义Web知识推理技术运用DLP、RuleML和SWRL语言标准描述的语义Web规则推理机制为基于语义Web的知识挖掘、发现和验证操作奠定基础;以SPARQL/Update语言技术为代表的语义Web知识更新技术为基于语义Web的知识维护提供基础。近年来,语义Web知识处理技术的标准化工作呈现出了标准内容的动态更新、标准体系结构的不断完善和知识处理方式的人机协同的发展趋势。
Seen from the current status quo of standardization, Semantic Web knowledge processing technology standards can be divided into four categories, namely knowledge representation technology standard, knowledge query technology standard, knowledge reasoning technology standard and knowledge update technology standard. Semantic Web Knowledge Representation The technical standard adopts the technology based on XML as the basic grammar and the OWL language based on RDF (S) as the modeling technology to realize the computer comprehensibility of knowledge. The semantic Web knowledge query uses RQL, SPARQL, OWL-QL , OWL SAIQL and other technical standards to solve the traditional Web keyword search “word polysemy, multi-word meaning ” problem, to achieve semantic concept retrieval; semantic Web knowledge reasoning technology using DLP, RuleML and SWRL language standards described semantics Web rule reasoning mechanism lays the foundation for knowledge mining, discovery and verification operation based on semantic Web. Semantic Web knowledge updating technology represented by SPARQL / Update language technology provides foundation for knowledge maintenance based on semantic Web. In recent years, the standardization of semantic Web knowledge processing technology has shown the trend of standard content update, the continuous improvement of standard architecture and the man-machine collaboration of knowledge processing.