III-CXT-Small: Information Discovery on Domain Data Graphs

越来越多的数据以相互关联的方式存储。这些数据来自网络；超链接页;书目数据；引文图；生物数据；蛋白质、基因和出版物之间的联系；临床资料；病人、住院、检查和诊断之间的联系。为了利用可用数据，一个关键的需求是信息发现的实现，也就是说，给定一个问题（查询），在数据图中找到对查询“好”（相关的、权威的和特定的）的数据片段或它们之间的关联，并根据它们的“好”对它们进行排序。提交这样的查询不需要了解复杂的查询语言（例如SQL）或数据细节（例如模式）。不幸的是，除了搜索引擎已经取得成功的Web领域之外，在数据图上提供高质量的信息发现方面做得很少。预计该项目将产生以下更广泛的影响：(a)促进少数民族学生以独立或高年级项目的形式参与研究过程。(b)促进生物和临床数据的有效信息发现，从而节省费用，提高这些领域的研究生产力。结果将通过出版物、公共网络演示系统和项目网站（http://dblab.cs.ucr.edu/projects/DGID/）传播。

An increasing amount of data is stored in an interconnected manner. Such data range from the Web; hyperlinked pages; to bibliographical data; graph of citations; to biological data; associations between proteins, genes, and publications; to clinical data; associations between patients, hospitalizations, exams and diagnoses. A critical need in order to leverage the available data is the enablement of information discovery, i.e., given a question (query) find pieces of data or associations between them in the data graph that are "good" (relevant, authoritative and specific) for the query, and rank them according to their "goodness". Submitting such queries should not require knowledge of a complex query language (e.g., SQL) or of the details of the data (e.g., schema). Unfortunately, little has been done to provide high-quality information discovery on data graphs in domains other than the Web, where search engines have been successful. This project is expected to have the following broader impacts: (a) Promote participation of FIU (one of the largest Hispanic institutes in the country) minority students in the research process, in the form of independent or senior class projects. (b) Facilitate effective information discovery on biological and clinical data, which can lead to cost savings, and increased research productivity in these domains. The results will be disseminated through publications, public Web demo systems, and the project Web site (http://dblab.cs.ucr.edu/projects/DGID/).