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本体知识理论在海相油气地质专业的应用研究 被引量:2

Application Research of the Ontology Knowledge Management Technology in the Field of Marine Hydrocarbon
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摘要 以海相中文文本为处理对象,首次将本体知识理论引入海相油气地质专业,介绍了本体知识获取过程中对文本信息的处理方法,还介绍了对文档特征进行提取的TF-IDF算法的改进和修正过程,为有效地生成文档特征向量空间,构建海相油气地质专业知识库,最终形成本体知识库提供具体方法。同时基于本体知识管理技术,根据海相油气地质领域知识获取与共享,利用三元组表示法构造海相油气概念本体知识,建立了海相油气地质专业知识库及相应的管理系统,有效促进了海相油气地质专业知识的推广与应用。 In order to fully excavate the marine oil and gas geological expert information in the document and to enhance the data mining intensity text of information, the ontology knowledge theory is introduced into the field of marine hydrocarbon for the first time in this paper. The technology of Chinese documentation knowledge acquisition method based on the ontology of knowledge management technology, such as the acyclic syncopation method, the first role-based probabilistic segmentation method for reducing ambiguity of the word, and the Viterbi algorithm for the name identification label, is described as well as the concept and acquisition method of the ontology knowledge of marine hydrocarbon. Moreover, the paper also describes the process of the improvement and amendment for the TF-IDF algorithm to extract characteristics of document in order to efficiently generate document feature vector space, and to build professional knowledge base of marine petroleum geology by the ontology knowledge. According to the field of marine oil and gas geological knowledge acquisition and sharing, the use of the triples notation is applied to form the concept of marine oil and gas construction body knowledge. Finally, the database and the corresponding management systems were developed for the marine hydrocarbon, so the knowledge of marine oil and gas geological expertise was promoted effectively.
出处 《现代工业经济和信息化》 2015年第19期31-34,共4页 Modern Industrial Economy and Informationization
关键词 海相 油气地质 本体知识 文档特征提取 TF-IDF算法 marine gas and oil geology ontology knowledge theory Chinese documentation feature extraction TF-IDFalgorithm
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