面向Web的企业竞争情报获取研究
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摘要
在知识经济和信息化时代,竞争情报已成为企业的“第四核心竞争力”。随着Web技术的快速发展,如何从Web上及时有效地获取企业竞争情报成为竞争情报研究中的前沿问题。但已有的方法局限在“网页驱动”的网页搜集和文本搜索上,即主要借助搜索引擎或文本挖掘工具实现竞争情报搜集和分析。这种方式缺乏对Web信息的深度抽取和理解,所得到的抽取结果与用户的实际需求脱节,阻碍了Web环境下企业竞争情报理论与应用的进一步发展。
本论文围绕Web环境下的企业竞争情报搜集需求,针对目前面向Web的企业竞争情报获取中存在的关键问题,重点研究Web环境下企业竞争情报的表示模型以及基于不同视角的Web环境下企业竞争情报获取方法。Web可以看成是由Web网页、Web网站以及Web用户构成的一个信息资源平台。基于此观点,我们着重研究了基于Web网页的企业竞争情报获取方法、基于Web网站的企业竞争情报获取方法、基于Web日志的企业竞争情报获取方法,以期能够构建系统性的面向Web的企业竞争情报获取框架,为Web环境下的企业竞争情报研究与实际应用奠定基础。
总体而言,本论文的主要工作和贡献可总结为以下几个方面：
(1)研究了Web环境下的企业竞争情报语义问题,提出并建立了基于实体的Web环境下企业竞争情报表示模型,在此基础上提出了一个基于实体和关系抽取的Web环境下企业竞争情报获取框架。
(2)研究了面向Web网页的企业竞争情报获取问题,提出了企业商业关系的一个分类框架,并提出了一种基于句子时态标注的企业收购关系抽取方法,获得了较好的抽取效果。
(3)研究了面向Web网站的企业竞争情报获取问题,给出了一种利用Web网站信息进行企业竞争对手分析的框架并进行了实证研究,为Web竞争情报获取与分析提供了新的思路。
(4)研究了基于Web日志的企业竞争情报获取问题,给出了利用Web用户行为日志进行竞争对手分析的框架,并基于实际的互联网用户行为日志分析了电子商务企业之间的竞争关系,为Web竞争情报获取与分析提供了新的参考。
Competitive intelligence has been the fourth core competitiveness at the age of knowledge economics and informatization. With the rapid development of Web technologies, how to effectively and efficiently acquire enterprise competitive intelligence from the Web has been a new topic in the research on competitive intelligence. However, previous approaches were restricted on the Web-page-driven ways and focused on collecting Web pages and perform textual Web search. According to those approaches, competitive intelligence were mainly collected and analyzed by means of Web search engines or text mining tools. As previous ways did not conduct deeply understanding and extraction on Web information, there will consequently be a big gap bwteen the extracted results and users'needs. Such situations have hindered the further development of the theories and applications of enterprise competitive intelligence in the Web environment.
In this dissertation, we aim at satisfying the requirements of collecting enterprise competitive intelligence in the Web environment and solving the critical issues existing in this procedure. In particular, we concentrate on the representation model of the enterprise competitive intelligence in the Web environment, as well as the methods to acquire enterprise competitive intelligence in the Web with respect to different viewpoints. As Web can be regarded as a platform of information resource which involves Web pages, Web sites, and Web users, we conduct our research on competitive intelligence acquirement based on three viewpoints, i.e., the Web-page-based viewpoint, the Web-site-based viewpoint, and the Web-log-based viewpoint. Our algorithms are expected to present a systematic framework for the acquirement of enterprise competitive intelligence in the Web, and thus to form the foundation for the future research on Web-oriented enterprise competitive intelligence and applications.
In general, the contributions of the dissertation can be summarized as follows:
(1) We study the semantics of the enterprise competitive intelligence in the Web environment, and propose an entity-based representation model for Web-based enterprise competitive intelligence. Based on this model, we develop a framework to extract competitive intelligence from the Web. Our framework is founded on entity recognition and relation extraction, and provides a fundamental solution to the extraction of Web-based competitive intelligence.
(2) We study the issues on acquiring enterprise competitive intelligence from Web pages, and present a framework to describe the business relations of competitors. After that, a new algorithm to extract company acquirement relations from Web pages is proposed, which is based on the tense labeling for sentences in the pages. The experimental results demonstrate its effectiveness.
(3) We research the issues on acquiring enterprise competitive intelligence from the Web-site viewpoint, and propose a process as well as an example to analyze competitors'intelligence by utilizing Web sites information. This study can offer new insights to the acquirement and analysis of Web-based enterprise competitive intelligence.
(4) We explore the extraction of competitors'intelligence from the logs of Web users, and present a process model to perform competitor analysis by suing the behavior logs of Web users. We take the electronic business area as an example and conduct comparable analysis on the typical electronic business companies on the basis of real behavior logs from Internet users. This research provides a new way to analyze competitor intelligence, and is of referential values to the acquirement and analysis of Web-based enterprise competitive intelligence.
本论文围绕Web环境下的企业竞争情报搜集需求,针对目前面向Web的企业竞争情报获取中存在的关键问题,重点研究Web环境下企业竞争情报的表示模型以及基于不同视角的Web环境下企业竞争情报获取方法。Web可以看成是由Web网页、Web网站以及Web用户构成的一个信息资源平台。基于此观点,我们着重研究了基于Web网页的企业竞争情报获取方法、基于Web网站的企业竞争情报获取方法、基于Web日志的企业竞争情报获取方法,以期能够构建系统性的面向Web的企业竞争情报获取框架,为Web环境下的企业竞争情报研究与实际应用奠定基础。
总体而言,本论文的主要工作和贡献可总结为以下几个方面：
(1)研究了Web环境下的企业竞争情报语义问题,提出并建立了基于实体的Web环境下企业竞争情报表示模型,在此基础上提出了一个基于实体和关系抽取的Web环境下企业竞争情报获取框架。
(2)研究了面向Web网页的企业竞争情报获取问题,提出了企业商业关系的一个分类框架,并提出了一种基于句子时态标注的企业收购关系抽取方法,获得了较好的抽取效果。
(3)研究了面向Web网站的企业竞争情报获取问题,给出了一种利用Web网站信息进行企业竞争对手分析的框架并进行了实证研究,为Web竞争情报获取与分析提供了新的思路。
(4)研究了基于Web日志的企业竞争情报获取问题,给出了利用Web用户行为日志进行竞争对手分析的框架,并基于实际的互联网用户行为日志分析了电子商务企业之间的竞争关系,为Web竞争情报获取与分析提供了新的参考。
Competitive intelligence has been the fourth core competitiveness at the age of knowledge economics and informatization. With the rapid development of Web technologies, how to effectively and efficiently acquire enterprise competitive intelligence from the Web has been a new topic in the research on competitive intelligence. However, previous approaches were restricted on the Web-page-driven ways and focused on collecting Web pages and perform textual Web search. According to those approaches, competitive intelligence were mainly collected and analyzed by means of Web search engines or text mining tools. As previous ways did not conduct deeply understanding and extraction on Web information, there will consequently be a big gap bwteen the extracted results and users'needs. Such situations have hindered the further development of the theories and applications of enterprise competitive intelligence in the Web environment.
In this dissertation, we aim at satisfying the requirements of collecting enterprise competitive intelligence in the Web environment and solving the critical issues existing in this procedure. In particular, we concentrate on the representation model of the enterprise competitive intelligence in the Web environment, as well as the methods to acquire enterprise competitive intelligence in the Web with respect to different viewpoints. As Web can be regarded as a platform of information resource which involves Web pages, Web sites, and Web users, we conduct our research on competitive intelligence acquirement based on three viewpoints, i.e., the Web-page-based viewpoint, the Web-site-based viewpoint, and the Web-log-based viewpoint. Our algorithms are expected to present a systematic framework for the acquirement of enterprise competitive intelligence in the Web, and thus to form the foundation for the future research on Web-oriented enterprise competitive intelligence and applications.
In general, the contributions of the dissertation can be summarized as follows:
(1) We study the semantics of the enterprise competitive intelligence in the Web environment, and propose an entity-based representation model for Web-based enterprise competitive intelligence. Based on this model, we develop a framework to extract competitive intelligence from the Web. Our framework is founded on entity recognition and relation extraction, and provides a fundamental solution to the extraction of Web-based competitive intelligence.
(2) We study the issues on acquiring enterprise competitive intelligence from Web pages, and present a framework to describe the business relations of competitors. After that, a new algorithm to extract company acquirement relations from Web pages is proposed, which is based on the tense labeling for sentences in the pages. The experimental results demonstrate its effectiveness.
(3) We research the issues on acquiring enterprise competitive intelligence from the Web-site viewpoint, and propose a process as well as an example to analyze competitors'intelligence by utilizing Web sites information. This study can offer new insights to the acquirement and analysis of Web-based enterprise competitive intelligence.
(4) We explore the extraction of competitors'intelligence from the logs of Web users, and present a process model to perform competitor analysis by suing the behavior logs of Web users. We take the electronic business area as an example and conduct comparable analysis on the typical electronic business companies on the basis of real behavior logs from Internet users. This research provides a new way to analyze competitor intelligence, and is of referential values to the acquirement and analysis of Web-based enterprise competitive intelligence.
引文
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