Knowledge Mining for Web Business Intelligence Platform and Its Sequence Knowledge Model

Shen Jie, Wei Liu-hua, He Kun, Xu Fa-yan, Bi Lei, Sun Rong-shuang
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引用次数: 3

Abstract

The ever-changing market information makes the traditional information collection and the way for using it unfitted for enterprises' business requirements. Knowledge mining for Web business intelligence (KB4WBI) platform is put forward in this paper, and online Web knowledge acquisition and knowledge semantics management are realized. Since Web business information has evident time effectiveness and context-related characteristic, great emphasis is placed on the research of Web sequence knowledge representation model of ontology evolution. Compared to the current methods, this platform comprehensively considers the real time characteristic and semantic attributions of Web knowledge, improves the knowledge precision and utility, and lays the basis of Web business intelligence.
面向Web商业智能平台的知识挖掘及其序列知识模型
瞬息万变的市场信息使得传统的信息收集和利用方式已经不适应企业的业务需求。提出了面向Web商业智能(KB4WBI)平台的知识挖掘,实现了在线Web知识获取和知识语义管理。由于Web商业信息具有明显的时效性和上下文相关性特征,因此对本体演化的Web序列知识表示模型的研究成为重点。与现有方法相比,该平台综合考虑了Web知识的实时性和语义属性,提高了知识的准确性和实用性,为Web商业智能的实现奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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