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OntoPortal: An ontology-supported portal architecture with linguistically enhanced and focused crawler technologies

机译:OntoPortal:本体支持的门户架构,具有语言增强和集中的爬虫技术

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This paper proposed the techniques of ontology and linguistics to develop a fully-automatic annotation technique, coupling with an automatic ontology construction method, could play a key role in the development of Semantic Portals. An ontology-supported portal architecture: OntoPortal was proposed according to this technique, in which three internal components Portal Interface, Semantic Portal, and OntoCrawler was integrated to rapidly and precisely collect information on Internet and capture true user's intention and accordingly provide high-quality query answers to meet the user requests. This paper also demonstrated the OntoPortal prototype which defined how a semantic portal is interacting with the user by providing five different types of interaction patterns such as including keyword search, synonym search, POS (Part-of-Speech)-constrained keyword search, natural language query, and semantic index search. The preliminary experiment outcomes proved the technology proposed in this paper to be able to really up-rise the precision and recall rates of webpage searching and accordingly showed that it can indeed retrieve better semantic-directed information to meet user requests.
机译:本文提出了本体和语言学的技术来发展一种全自动的注释技术,并结合一种自动的本体构建方法,可以在语义门户的发展中发挥关键作用。本体支持的门户体系结构:根据此技术提出了OntoPortal,其中集成了三个内部组件Portal Interface,语义门户和OntoCrawler,以快速,准确地收集Internet上的信息并捕获真实用户的意图,从而提供高质量的查询满足用户要求的答案。本文还演示了OntoPortal原型,该原型通过提供五种不同类型的交互模式来定义语义门户与用户的交互方式,例如关键字搜索,同义词搜索,词性(POS)约束关键字搜索,自然语言。查询和语义索引搜索。初步的实验结果证明了本文提出的技术能够真正提高网页搜索的准确性和召回率,因此表明它确实可以检索更好的语义定向信息以满足用户的要求。

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