ITR: Information Discovery in Digital Government: Self-extending Topic Maps and Ontologies (GrowOnto)

EIA-0205111美国爱德华·霍维信息科学研究所这笔拨款将探索跨政府数据集自动构建领域本体。政府有许多“数据孤岛”，即不能交叉比较或查询的数据集合。这是向消费者展示政府信息的一个主要问题，这些信息是根据消费者的利益而不是根据政府机构的组织结构定制的。虽然这种自动化工具不能完全构建准确的本体，但它们可以减少此类工作的大部分劳动密集度，特别是在术语或变量的数量如此之大(以数千计)以至阻碍手动工作的情况下。与美国环保局合作，研究小组将开发一个半自动工具包，以帮助构建本体。美国环保局拥有许多公众感兴趣的数据集。

EIA- 0205111Eduard Hovy Information Sciences Institute, USCThis grant will explore the automated construction of domain ontologies across governmental datasets. There are many "data silos" in government; that is, collections of data which cannot be cross-compared or queried. This is a major problem in presenting government information to consumers which is tailored according to their interests, rather than according to the organizational structure of government agencies. While such automated tools cannot completely construct accurate ontologies, they can take much of the labor intensiveness out of such efforts, particularly where the number of terms or variables is so large (in the thousands) as to prevent manual efforts. Working with the US Environmental Protection Agency, which has many datasets of interest to the public, the research team will develop a semi-automated toolkit to aid in the construction of ontologies.