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Handling Domain Specific Document Repositories for Application of Query Languages

机译:处理特定于域的文档存储库以应用查询语言

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Domain specific information is increasingly available on the Web in form of document repositories. In specialized domains such as agriculture, bio-medical sciences and health-care, this information is required by various domain experts. Health-care experts such as researchers and practitioners require it during health-care delivery and for educational purposes. These users differ from the Web users and database users. Most of the existing document repositories on the Web have alphabetical and keyword based searches. These are not sufficient for the expert users with precise and complex queries, who require in-depth results within time constraints. Their information needs can be supported by providing user-level schema. Such a schema can support database-style high-level query languages over these repositories. Seeking specialized domain-specific information through queries is gaining importance. In this paper, a model for on-line document repositories is proposed. Queries can be performed with in-depth results. The model can be replicated to similarly structured document repositories in any given domain.
机译:特定于域的信息越来越多地以文档存储库的形式在Web上提供。在农业,生物医学和医疗保健等专业领域,各个领域的专家都需要此信息。研究人员和从业人员等卫生保健专家在卫生保健提供期间和出于教育目的需要它。这些用户不同于Web用户和数据库用户。 Web上大多数现有的文档存储库都具有基于字母和关键字的搜索。对于需要精确和复杂查询的专家用户而言,这些还不够,他们需要在时间限制内获得深入的结果。通过提供用户级别的架构可以满足他们的信息需求。这样的架构可以在这些存储库上支持数据库样式的高级查询语言。通过查询寻求专业的领域特定信息正变得越来越重要。本文提出了一种在线文档存储库模型。查询可以得到更深入的结果。该模型可以复制到任何给定域中结构相似的文档存储库中。

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