III:Small : MOSAIC - Advanced Querying Paradigms For Supporting Discovery Oriented Tasks on the Semantic Web

III:Small：MOSAIC - 支持语义 Web 上面向发现的任务的高级查询范例

• 批准号: 0915865
• 负责人: Kemafor Anyanwu-Ogan
• 金额: $ 47.77万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2014-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0915865&HistoricalAwards=false
• 关键词: III; Small; MOSAIC; Advanced; Querying

The proposal is to support multi-stage queries by integrating knowledge from across different queries, creating a "knowledge mosaic." This approach, if successful could radically improve and extend web search from one of primarily fact-finding to one of fact-finding and problem solving using a set of related queries which find pieces of information which are then "stitched together" such that relationships and links between the information can be better revealed. The approach to problem-solving becomes one of using a set of related queries which find out portions of information on graph models, building the knowledge mosaic using RDF and other graph-based Semantic Web technologies and extending a proposed new query language SPARQ2L The resultant view keeps track of what knowledge has been found, and attempts tto combine it in useful ways to provide a more complex knowledge view for the information the user seeks to discover. The research could have pronounced impact on how search and discovery is performed on the web.

该建议是通过整合来自不同查询的知识来支持多阶段查询，创建一个“知识马赛克”。" 这种方法，如果成功的话，可以从根本上改善和扩展网络搜索，从一个主要的事实发现到一个事实发现和解决问题，使用一组相关的查询，这些查询发现信息片段，然后“缝合在一起”，这样可以更好地揭示信息之间的关系和联系。解决问题的方法变成了使用一组相关查询来找出图模型上的部分信息，使用RDF和其他基于图的语义Web技术来构建知识马赛克，并扩展了所提出的新查询语言SPARQ2L。并试图以有用的方式将其联合收割机组合，以为用户寻求发现的信息提供更复杂的知识视图。这项研究可能会对如何在网络上进行搜索和发现产生明显的影响。