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

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
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-09-01 至 2014-01-31

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中文摘要
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英文摘要
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.
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