基于知识元的多源竞争情报融合方法研究

发布时间：2018-08-05 10:45

【摘要】：[目的/意义]大数据时代,企业迫切需要把握机遇,积极探索从海量数据中发掘和利用竞争情报以支持商业决策。如何从多源数据中辨识极具商业价值的信息和发现隐性知识仍是竞争情报研究亟待解决的问题。其有赖于竞争情报的完备知识结构和高效的知识融合方法。[方法/过程]基于知识元模型、证据理论和相似度分析,开展多源竞争情报融合方法研究:竞争情报以知识元形式从多个数据源中被抽取并统一表示;通过相似性分析和多属性融合计算,整合竞争情报知识元的同时,实现竞争情报知识框架的更新;进一步利用知识元的属性——关系融合实现隐性知识发现。[结果/结论]以融合跨领域知识的视角构建了基于知识元的多源竞争情报融合原型系统。针对某外卖平台在线评语的知识元构建与融合实例研究证明了该方法的可行性和有效性。
[Abstract]:[Objective / significance] large data age, enterprises urgently need to grasp the opportunity to explore and utilize competitive intelligence from massive data to support business decision. How to identify highly commercial information and discover tacit knowledge from multi source data is still an urgent problem to be solved in the research of competitive intelligence. It depends on the complete competitive intelligence. Knowledge structure and efficient knowledge fusion method. [method / process] Based on knowledge metamodel, evidence theory and similarity analysis, the research of multi source competitive intelligence fusion is carried out. Competitive intelligence is extracted from multiple data sources in the form of knowledge element and is expressed in a unified way. The integration of competitive intelligence knowledge through similarity analysis and multi attribute fusion is used to integrate the knowledge of competitive intelligence. At the same time, it realizes the updating of the knowledge framework of competitive intelligence; further uses the attribute of the knowledge element to realize the hidden knowledge discovery. [result / Conclusion] constructs the multi source competitive intelligence fusion prototype system based on the knowledge element in the perspective of the integration of cross domain knowledge. The feasibility and effectiveness of the proposed method are demonstrated by case studies.
【作者单位】：大连理工大学管理与经济学部;大连大学经济管理学院;
【基金】：国家自然科学基金项目“大数据环境下知识融合与服务的方法及其在电子政务中的应用研究”(编号:71533001)研究成果之一辽宁省社会科学规划基金青年项目“辽宁中小企业开展竞争情报活动的途径研究”(编号:L13CTQ013)研究成果之一
【分类号】：G350

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