III: Small: EntityEngine: A Query Engine for Entity-Relationship Queries Over Web Text

III：小型：EntityEngine：用于通过 Web 文本进行实体关系查询的查询引擎

• 批准号: 1018865
• 负责人: Chengkai Li
• 金额: $ 49.97万
• 依托单位: University of Texas at Arlington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1018865&HistoricalAwards=false
• 关键词: III; Small; EntityEngine; Query; Engine

The continuous evolution of the Web has made itself the primaryknowledge source for many people. It has become an informationrepository full of entities (material or virtual) and descriptionsof their properties and relationships. In discovering and exploringthe entities that fascinate them, the users are in need ofstructured querying facilities, coupled with text retrievalcapabilities, that explicitly deal with the entities, theirproperties, and relationships. In this project, the PIs investigate a novel declarative querymechanism, entity-relationship queries (ERQ), for users to discoverand explore the rich structured and entity-centric information onthe Web. The research objective is to produce general methods forefficient processing and optimization of entity-relationshipqueries and automatic ranking of query results, and tosystematically develop a query engine for such queries. Themethodology is to exploit the evidence of the co-occurrence ofentities and keyword constraints, through the integration of DB andIR methods. A systematic approach will be taken to produce automaticranking function formulation method, efficient entity-centric indexand index selection methods, and top-k query processing algorithms. The research results will have broader impacts on the highereducation system, high-tech industries, the scientific community,and the general public. The educational goal of the project is tobe achieved by integrating research and educational efforts throughthese activities: broadening database curriculum; involvingunder-represented students and undergraduates in research;outreach; and publicly releasing the online demo, software,datasets, publications, and course materials. For further information see the project web page:URL: http://idir.uta.edu/erq

Web的不断发展使其成为许多人的主要知识来源。它已经成为一个信息库，充满了实体（物质的或虚拟的）以及它们的属性和关系。在发现和探索令他们着迷的实体时，用户需要结构化查询工具，以及文本检索功能，这些功能明确地处理实体、其属性和关系。在这个项目中，PI研究了一种新颖的声明式查询机制，实体关系查询（ERQ），供用户查询和探索Web上丰富的结构化和以实体为中心的信息。本文的研究目标是提出有效处理和优化实体关系查询以及查询结果自动排序的一般方法，并系统地开发一个面向实体关系查询的查询引擎。该方法是通过数据库和检索方法的集成，利用实体和关键字约束的共现证据。一个系统的方法将产生automaticranking函数制定方法，高效的实体为中心的索引和索引选择方法，和top-k查询处理算法。研究成果将对高等教育体系、高科技产业、科学界和公众产生更广泛的影响。该项目的教育目标是通过以下活动整合研究和教育工作来实现：拓宽数据库课程;让代表性不足的学生和本科生参与研究;推广;公开发布在线演示、软件、数据集、出版物和课程材料。欲了解更多信息，请参阅项目网页：URL：http://idir.uta.edu/erq