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Database Querying on the World Wide Web

机译:万维网上的数据库查询

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摘要

The world Wide Web can be considered to be a huge semistructured database that can provide us with a vast amount of information. Existing web search techniques have significant deficiencies with respect to robustness, flexibility and precision. The purpose of this research is to develop and implement a domain-specific alternative to keyword and subject directory search engines. The specific domain being considered for the prototype implementation is that of Australian universities including all the internal entities that belong to each university such as faculties, departments, schools, research centres, libraries, clubs, students, staff, publications, and related data that is available on the web. By modeling the ontology of this particular domain using a object-relational data model and restructuring the web data using a hybrid, object-relational database system such as ILLUSTRA, more complex and flexible queries can be elaorated such as summarised data, simulation of transitive closure and joins between tables.
机译:万维网可以被认为是一个巨大的半结构化数据库,可以为我们提供大量信息。现有的网络搜索技术在健壮性,灵活性和精确性方面存在重大缺陷。这项研究的目的是开发和实现关键字和主题目录搜索引擎的特定领域替代方案。原型实施要考虑的特定领域是澳大利亚大学的领域,包括属于每所大学的所有内部实体,例如学院,系,学校,研究中心,图书馆,俱乐部,学生,职员,出版物和相关数据。在网络上可用。通过使用对象关系数据模型对该特定领域的本体进行建模,并使用诸如ILLUSTRA的混合对象关系数据库系统重构Web数据,可以简化更为复杂和灵活的查询,例如汇总数据,传递闭包的模拟并在表之间联接。

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