Continuous and summarised search over evolving heterogeneous data

对不断变化的异构数据进行持续和总结的搜索

• 批准号: DP170102726
• 负责人: Prof Mark Sanderson
• 金额: $ 23.59万
• 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: 2017
• 资助国家: 澳大利亚
• 起止时间: 2017-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP170102726
• 关键词: Continuous; summarised; search; over; evolving

The project aims to design a search engine that monitors and retrieves over multiple social media and micro-blogging platforms. The engine presents search results in a personalised continuously updated summary. An inverted index structure systematically captures and provides easy access to all monitored content, including text, linked and relational data. The structure enables a continuous search paradigm that tracks updates on both the content and popularity of search results. This is expected to help organisations and governments track, understand and exploit social media.

该项目旨在设计一个搜索引擎，用于监控和检索多个社交媒体和微博平台。该引擎以个性化的不断更新的摘要形式呈现搜索结果。反向索引结构系统地捕获并方便地访问所有被监视的内容，包括文本、链接和关系数据。该结构支持连续搜索范式，可以跟踪搜索结果的内容和流行程度的更新。这有望帮助组织和政府追踪、理解和利用社交媒体。