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Knowledge base Internet search for construction and real estate information system.

机译:知识库Internet搜索建筑和房地产信息系统。

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摘要

Information is at the centre of the construction and real estate management. In the past, construction professionals have to go through tedious operations to find the relevant information in need. This thesis presents a feasible solution to solve the problem stated.; Nowadays information is increasingly available in web format that can be reviewed via browsers. However surfing the Internet is perceived as inefficient and ineffective for professional use. Search engines are used instead to find the required information based on user's specification (often in words).; Based on techniques established in pattern recognition and experience of using knowledge bases in intelligent applications, the knowledge base approach has been proposed to significantly increase the usefulness and effectiveness of search engines used in the area of professional applications. The knowledge base approach has the advantages of being more relevant to user and adaptable to shift in environmental parameters.; A prototype system was built to illustrate the knowledge base Internet search approach. It was observed that feature vectors had been successfully used in searching for the underlying texts. Search results were accumulated and processed for new knowledge. The acquired new knowledge was found to be useful in enhancing the relevancy of subsequent search process. Practically the knowledge base approach can be used unattended to automatically generate new and relevant knowledge for professional users.
机译:信息是建筑和房地产管理的中心。过去,建筑专业人士必须经过繁琐的操作才能找到所需的相关信息。本文提出了解决上述问题的可行方案。如今,信息越来越多地以Web格式提供,可以通过浏览器进行查看。然而,浏览互联网对于专业使用而言被认为是低效和低效的。而是使用搜索引擎根据用户的规范(通常是文字)来查找所需的信息。基于在模式识别中建立的技术以及在智能应用程序中使用知识库的经验,提出了一种知识库方法来显着提高在专业应用程序领域中使用的搜索引擎的实用性和有效性。知识库方法的优点是与用户更相关,并适应环境参数的变化。建立了一个原型系统来说明知识库的Internet搜索方法。据观察,特征向量已成功用于搜索基础文本。搜索结果已累积并进行了处理以获取新知识。发现所获得的新知识有助于增强后续搜索过程的相关性。实际上,知识库方法可以无人值守使用,以自动为专业用户生成新的相关知识。

著录项

  • 作者

    Pang, Chung Kit.;

  • 作者单位

    Hong Kong Polytechnic (People's Republic of China).;

  • 授予单位 Hong Kong Polytechnic (People's Republic of China).;
  • 学科 Information Science.; Artificial Intelligence.
  • 学位 Ph.D.
  • 年度 2002
  • 页码 270 p.
  • 总页数 270
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 信息与知识传播;人工智能理论;
  • 关键词

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