Enabling queries on relational data on the Web

启用对 Web 上的关系数据的查询

• 批准号: 239127-2013
• 负责人: Rafiei, Davood
• 金额: $ 2.19万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=594233
• 关键词: Enabling; queries; relational; data; Web

While the World Wide Web provides public access to one of the largest and most heterogeneous data collections ever created, its querying capabilities have remained very much limited to keyword search. This reduces the efficiency of the search and the scope of the information that can be explored or retrieved. More specifically, a keyword search is not sufficient when the search is not bounded to a selection and involves join and set operations over the contents of the documents. For instance, a keyword search is not appropriate for querying relationships, and the Web contains relationships galore. Also, a keyword search is not very applicable when the granularity of the search result is smaller than a document, and the result is a more refined set of items or entities that satisfy some conditions.

虽然万维网提供了对有史以来最大和最不同种类的数据集之一的公共访问，但其查询能力仍然非常局限于关键字搜索。这降低了搜索的效率以及可以探索或检索的信息的范围。更具体地说，当搜索不限于选择并且涉及对文档内容的联接和集合操作时，关键字搜索是不够的。例如，关键字搜索不适合查询关系，而Web包含大量的关系。此外，当搜索结果的粒度小于文档，并且结果是满足某些条件的一组更精细的项目或实体时，关键字搜索也不太适用。