EAGER: Quick Draw Semantics

EAGER：快速绘制语义

基本信息

批准号：
1250340
负责人：
Lois Delcambre
金额：
$ 20.09万
依托单位：
Portland State University
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
起止时间：
2012-09-15 至 2015-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1250340&HistoricalAwards=false
关键词：
EAGER Quick Draw Semantics

项目摘要

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.

该项目正在为普通网络内容创建者开发方法和工具，通过在其网站上绘制一些简单的线条或图形来指示其内容固有的结构。他们这样做的动机是基于这些映射在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轻松表达使用简单的绘图方法。这项工作是对向语义化 Web 过渡的现有努力的补充，但又有所不同；这里的重点是具有本地效益的映射的（简单）本地规范（绘图）。该项目使用众包的形式来创建本体映射并（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（因为专注于浏览/搜索），并且具有直接的本地效益。该研究是由一系列支持公众获取教学材料的网站推动的，并将在这些网站中展示。总的来说，这项工作预计将（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。