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Research and Implementation of Mine Risk Area Semantic Retrieval System based on Ontology

机译:基于本体的矿山风险区语义检索系统的研究与实现

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In this paper, the authors first analyze the research and development of semantic retrieval technology based on ontology, and introduce the key theoretical knowledge of ontology and semantic web, including the definition, description language, classification and semantic web. Secondly, this thesis makes a deep research on the ontology based semantic retrieval including semantic annotation, Chinese word segmentation, ontology storage, semantic association algorithm and so on. At the same time, it analyzes and introduces the construction principle, methods and tools involved in ontology. Finally, this paper designs and implements a complete ontology based semantic retrieval system based on the ontology of coal mine risk domain ontology, and verifies the feasibility of the system and the theory, and provides the basis for the development and popularization of the ontology based semantic retrieval technology.
机译:本文首先对基于本体的语义检索技术的研究和发展进行了分析,并介绍了本体和语义网的关键理论知识,包括定义,描述语言,分类和语义网。其次,本文对基于本体的语义检索进行了深入的研究,包括语义标注,中文分词,本体存储,语义关联算法等。同时分析并介绍了本体涉及的构建原理,方法和工具。最后,本文基于煤矿风险域本体的本体,设计并实现了一套完整的基于本体的语义检索系统,验证了该系统和理论的可行性,为基于本体的语义开发和推广提供了基础。检索技术。

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