II-NEW: Acquiring infrastructure for Artificial Intelligence, Natural Language Processing and Information Retrieval

II-新：获取人工智能、自然语言处理和信息检索的基础设施

• 批准号: 0958576
• 负责人: Jugal Kalita
• 金额: $ 19.51万
• 依托单位: University of Colorado at Colorado Springs
• 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: 2010-05-01 至 2012-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0958576&HistoricalAwards=false
• 关键词: II; NEW; Acquiring; infrastructure; Artificial

This proposal seeks to obtain funding to acquire computinginfrastructure to perform cross-disciplinary research in artificialintelligence, natural language processing, bioinformatics, socialnetworks and related fields. In particular, the projects that willbe supported by the infrastructure acquired include developing algorithmsand architectures for large-scale ontology alignment, particularly inthe biomedical domain; mining Wikipedia and similar Web-based sourcesfor geographical, temporal and ontological information; performingnamed entity recognition in biomedical and other domains; performingcomputational motivational and content analysis of socially generatedcontent such a blogs and micro-blogs; undertaking corpus-based computationallinguistics research in under-studied and possibly endangered languages fromIndia and other locations; developing better-performing algorithms for geneexpression analysis; and developing, implementing and comparing algorithmsfor protein structure prediction, particularly proteins that containcoiled-coil structures. These projects deal with large amounts of dataand information and processing such data and information requires largeamounts of computing power. Our proposal seeks to acquire adequate andflexible computing hardware to facilitate problem-solving in these and otherareas, so that current and future problems can be solved felicitously. The infrastructure acquired will enable cutting-edge research by Ph.D.,Masters and undergraduate students, including REU site students, in avariety of cross-disciplinary topics that employ ideas and innovationsin artificial intelligence, machine learning and information retrieval.For example, the results of our research may enable creations of systemsthat discover overlaps and matches among large medical ontologies so thatpainstakingly created domain-specific information can be fused, comparedand utilized better; and may assist in creating programs that assist inautomatically understanding and/or visualizing content of socially-generatedWebsites such as Wikipedia and Twitter.For further information see the project web site at the URL:http://www.cs.uccs.edu/~kalita.

该提案旨在获得资金以获取计算基础结构，以在人造智慧，自然语言处理，生物信息学，社交网络和相关领域进行跨学科研究。特别是，所获得的基础设施支持的项目包括开发大规模本体学对齐的算法和体系结构，尤其是在生物医学领域中；挖掘Wikipedia和类似的基于Web的源，用于地理，时间和本体论信息；在生物医学和其他领域中表现为实体识别；对这样的博客和微博的社会产生的表演计算动机和内容分析；在研究不足的和可能濒临灭绝的语言中，从印第安人和其他位置进行基于语料库的计算语言学研究；开发出更好的算法来进行基因分析；以及为蛋白质结构预测的算法开发，实施和比较算法，尤其是包含结构结构的蛋白质。这些项目处理大量的数据和信息，并处理此类数据和信息需要计算能力的范围。我们的建议旨在获取足够且富裕的计算硬件，以促进这些和其他方面的问题解决，以便可以轻率地解决当前和未来的问题。所获得的基础架构将通过博士学位，包括REU站点学生在内的硕士和本科生的尖端研究，以跨学科主题的态度采用跨学科主题，这些主题采用思想和创新的人工智能，机器学习和信息检索。融合，比较更好地利用；并可能有助于创建计划，以帮助不理解和/或可视化社会生成网站（例如Wikipedia和Twitter）的内容。有关更多信息，请参见url的项目网站：http：//www.cs.uccs.uccs.edu/~kalita。