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

该提案旨在获得资金，以获得计算基础设施，以便在人工智能，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，将由所收购的基础设施支持的项目包括开发大规模本体对齐的算法和架构，特别是在生物医学领域;挖掘维基百科和类似的基于Web的资源，以获得地理，时间和本体信息;在生物医学和其他领域执行命名实体识别;对社会生成的内容（如博客和微博）执行计算动机和内容分析;在来自印度和其他地区的未充分研究和可能濒临灭绝的语言中进行基于语料库的计算语言学研究;开发用于基因表达分析的更好的算法;以及开发，实施和比较蛋白质结构预测的算法，特别是包含卷曲螺旋结构的蛋白质。这些项目处理大量的数据和信息，处理这些数据和信息需要大量的计算能力。我们的建议旨在获得足够的和灵活的计算硬件，以促进在这些和其他领域的问题解决，使当前和未来的问题可以得到妥善解决。收购的基础设施将使博士，硕士和本科生，包括REU网站的学生，在各种跨学科的主题，采用人工智能，机器学习和信息检索的想法和创新。例如，我们的研究结果可能使系统的创建，发现大型医学本体之间的重叠和匹配，使精心创建的特定领域的信息可以融合，比较和更好地利用;并且可以帮助创建帮助自动理解和/或可视化诸如Wikipedia和Twitter的社会生成的网站的内容的程序http://www.cs.uccs.edu/~kalita。

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.