EAGER: Quick Draw Semantics
EAGER: Quick Draw Semantics
批准号:
1250340
负责人:
Lois Delcambre
金额:
$20.09万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-09-15 至 2015-08-31
中文摘要
这个项目正在为普通的网络内容创建者开发方法和工具,通过在他们的网站上画几条简单的线条或图形来表明他们内容中固有的结构。他们这样做的动机是基于这些映射在他们的本地站点中使用增强的浏览和搜索功能。这些新的浏览和搜索功能基于规范结构(即数据模型片段)和域模式(一组实例化的规范结构)的定义,以及相关的导航和访问路径,其中域模式很容易被内容创建者识别并使用简单的绘制方法很容易地表达出来。这项工作是对现有工作的补充,但不同于现有的过渡到更具语义的Web的工作;这里的重点是具有本地利益的映射的(简单的)本地规范(绘制)。该项目使用众包的形式来创建本体映射和(间接)创建本体。该项目应用了数十年的数据建模和模式映射工作,但使用的是结构片段,而不是完整的模式/本体,没有视图更新问题(因为重点放在浏览/搜索上),并且具有直接的本地好处。这项研究是由一系列支持公众获取教学材料的网站推动的,并将在这些网站上展示。总体而言,这项工作有望(几乎毫不费力地以高质量的方式)为实现语义网的愿景做出贡献。
英文摘要
This project is developing methods and tools for ordinary web content creators to indicate the structure inherent in their content by drawing a few simple lines or figures over their web site. Their motivation for doing so is to use enhanced browsing and searching capabilities in their local site based on these mappings. These new browsing and searching capabilities are based on the definition of canonical structures (i.e., data model fragments) and domain patterns (a set of instantiated canonical structures) with associated navigation and access paths where domain patterns are easily recognizable by content creators and easily articulated using a simple drawing approach. This work is complementary to yet distinct from much existing effort to transition to a more semantic Web; the focus here is on (simple) local specification (drawing) of mappings with local benefit. This project uses a form of crowd-sourcing to create ontology mappings and (indirectly) create ontologies. This project applies decades of work on data modeling and schema mapping but with structural fragments rather than complete schemas/ontologies, without view update problems (because of the focus on browsing/searching), and with immediate local benefit. The research is motivated by and will be showcased in a series of websites that support public access to instructional materials. In general, this work is expected to contribute (nearly effortlessly yet in a high-quality way) to achieving the vision for the semantic web.
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会议论文
EAGER: Full Disclosure of Data Preparation and Use in Retrospective Studies
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批准号:0954268
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项目类别:Standard Grant
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资助金额:$0.0万
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财政年份:2009
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负责人:Lois Delcambre
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依托单位:
III-CTX-Small: Exploiting domain expertise to enhance information retrieval
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批准号:0812260
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项目类别:Standard Grant
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资助金额:$44.6万
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财政年份:2008
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负责人:Lois Delcambre
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依托单位:
Collaborative Project: Ensemble: Enriching Communities and Collections to Support Education in Computing
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批准号:0840668
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项目类别:Continuing Grant
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资助金额:$34.0万
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财政年份:2008
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负责人:Lois Delcambre
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依托单位:
Adapting Information using Superimposed Models and Structures
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批准号:0534762
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项目类别:Standard Grant
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资助金额:$39.0万
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财政年份:2006
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负责人:Lois Delcambre
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依托单位:
SGER: Accelerated Indexing in a Domain-Specific Digital Library
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批准号:0514238
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项目类别:Standard Grant
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资助金额:$0.0万
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财政年份:2005
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负责人:Lois Delcambre
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依托单位:
Collaborative Project: Superimposed Tools for Active Arrangement and Elaboration of Educational Resources
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批准号:0435496
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项目类别:Standard Grant
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资助金额:$0.0万
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财政年份:2004
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负责人:Lois Delcambre
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依托单位:
Collaborative Project: Superimposed Tools for Active Arrangement and Elaboration of Educational Resources
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批准号:0511050
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项目类别:Standard Grant
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资助金额:$0.0万
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财政年份:2004
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负责人:Lois Delcambre
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依托单位:
Digital Government: Harvesting Information to Sustain Our Forests
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批准号:9983518
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项目类别:Continuing Grant
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资助金额:$78.44万
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财政年份:2000
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负责人:Lois Delcambre
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依托单位:
SGER: Content-Based Connections for Navigating on the NII
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批准号:9502084
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项目类别:Standard Grant
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资助金额:$5.0万
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财政年份:1995
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负责人:Lois Delcambre
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依托单位:
海外基金