SGER: CS-BibCube: OLAPing and Mining of Computer Science Literature
SGER: CS-BibCube: OLAPing and Mining of Computer Science Literature
批准号:
0842769
负责人:
Jiawei Han
金额:
$10.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-09-01 至 2010-02-28
中文摘要
本课题旨在探讨基于多维分类维度(如作者名单、地点、日期)和非结构化文本属性(如标题、摘要、内容)构建的多维文本数据立方体CS-BibCube的设计与开发问题,以促进计算机科学文献的多维在线分析处理(OLAP)和挖掘。数据立方体已成为数据仓库行业的重要引擎,并已扩展到处理相对结构化的非关系数据,包括时空数据、序列、图、数据流等。然而,处理非结构化文本数据仍然具有挑战性。该项目旨在探索和评估文本立方体和文本olap的设计、多维建模、实现、性能改进和部署方面的可能性和备选方案。这项工作将整合来自数据立方体和OLAP、信息检索、文本挖掘和机器学习的多学科方法,并进一步研究有望扩展到其他多维文本数据库,在商业、工业、政府机构、科学研究和教育中具有广泛的应用。研究结果将在信息检索、数据挖掘和数据库系统的研究论坛上发表,并纳入伊利诺伊大学厄巴纳-香槟分校的教育计划。项目进展和研究结果将通过项目网站(http://www.cs.uiuc.edu/~hanj/projs/csbibcube.htm)发布。
英文摘要
This goal of this research project is to investigate issues in the design and development of CS-BibCube, a multidimensional text data cube, constructed based on multidimensional categorical dimensions (e.g., author list, venue, and date) and unstructured text attributes (e.g., title, abstract, and contents), to facilitate multidimensional online analytical processing (OLAP) and mining of computer science literature. Data cube has become an essential engine in data warehouse industry and has been extended to handle relatively structured non-relational data, including spatio-temporal data, sequences, graphs, data streams, etc. However, it is still challenging to handle unstructured text data. This project is to explore and evaluate the possibilities and alternatives on the design, multidimensional modeling, implementation, performance improvement, and deployment of text-cubing and text-OLAP. The work will integrate multiple disciplinary approaches derived from data cube and OLAP, information retrieval, text mining, and machine learning, and further study is expected to be expanded to other multidimensional text databases with broad applications in business, industry, government agencies, scientific research, and education. The research results are to be published in research forums on information retrieval, data mining, and database systems, and be integrated into the educational program at the University of Illinois at Urbana-Champaign. The progress of the project and the research results will be disseminated via the project Web site (http://www.cs.uiuc.edu/~hanj/projs/csbibcube.htm).
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