| 摘要: |
| 重点论述了文本信息中的知识发现及潜在关联分析技术。采用本体建模技术、信息抽取技术以及知识库上的语义推理技术等来完成并实现文本信息的关联关系发现和分析，最后给出了语义关联分析技术在文本信息处理系统中的应用，并简要描述了系统的处理流程。在信息处理领域的大数据环境下，该技术有利于信息分析人员快速获取关联线索，辅助完成信息挖掘，为指挥决策提供更全面的信息支持。 |
| 关键词: 大数据；文本信息；数据挖掘；语义技术 信息抽取 关联分析 |
| DOI： |
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| 基金项目: |
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| Text information relationship analysis based on semantic reasoning |
| CHEN Tian-ying,SU Zhi-hui |
| () |
| Abstract: |
| This paper mainly discusses knowledge discovery and potential relationship analysis in text information. By utilizing ontology modelling,information extraction and semantic reasoning technique running on knowledge bases,relationship discovery and analysis of text information are realized.Finally,the typical practice of semantic relation analysis in text information analysis system is given. Under the big data environment of information processing domain,the technique is beneficial for information analyzers to obtain relational clues quickly,and facilitates information mining which offers steady support for command and decision-making. |
| Key words: big data text information data mining semantic technology information extraction related analysis |
《电讯技术》编辑部 