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

越来越多的数据以互连的方式存储。这些数据的范围从Web；超链接页面；到书目数据；引文图表；到生物数据；蛋白质、基因和出版物之间的关联；到临床数据；患者、住院、检查和诊断之间的关联。为了利用可用的数据，一个关键的需求是实现信息发现，即，给定一个问题(查询)，在数据图中找到对该查询“好的”(相关的、权威的和特定的)数据或它们之间的关联，并根据它们的“好”来对它们进行排名。提交这样的查询不应该要求了解复杂的查询语言(例如，SQL)或数据的细节(例如，模式)。不幸的是，在搜索引擎取得成功的Web以外的其他领域，在数据图上提供高质量的信息发现方面所做的工作很少。该项目预计将产生以下更广泛的影响：(A)以独立或高级班级项目的形式，促进FIU(该国最大的拉美裔学院之一)少数族裔学生参与研究进程。(B)促进对生物和临床数据的有效信息发现，从而节省成本，提高这些领域的研究生产率。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/).

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/).