Efficient and effective ad-hoc search using structured and unstructured geospatial information

使用结构化和非结构化地理空间信息进行高效且有效的临时搜索

• 批准号: DP140101587
• 负责人: Prof Jason Culpepper
• 金额: $ 29.5万
• 依托单位: RMIT University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2014
• 资助国家: 澳大利亚
• 起止时间: 2014-01-01 至 2018-12-28
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP140101587
• 关键词: Efficient; effective; ad; hoc; search

Web search is a key enabling technology in the information age. However two technologies, ubiquitous mobile devices and massive structured data repositories such as those used to maintain social networking sites, are changing user expectations about how and what should be searched. A key challenge in the research community is how to integrate structured and unstructured information to improve the quality of search. This project proposes new approaches to ranked retrieval for location-aware search. In particular, it presents a plan to combine state-of-the-art research from two domains: spatial keyword search in databases, and ad-hoc search in Information Retrieval to improve the quality of search results.

网络搜索是信息时代的关键技术。然而，无处不在的移动的设备和用于维护社交网站的大规模结构化数据存储库这两种技术正在改变用户对搜索方式和搜索内容的期望。研究界面临的一个关键挑战是如何整合结构化和非结构化信息以提高搜索质量。这个项目提出了新的方法来排名检索位置感知搜索。特别是，它提出了一个计划，结合联合收割机国家的最先进的研究从两个领域：空间关键字搜索数据库中，和ad hoc搜索信息检索，以提高搜索结果的质量。