Linking and querying genomic datasets using natural language

Bobby McKnight, I. Arpinar
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引用次数: 1

Abstract

The association of experimental data with domain knowledge expressed in ontologies facilitates information aggregation, meaningful querying and knowledge discovery to aid in the process of analyzing the extensive amount of interconnected data available for genome projects. TcruziKB is an ontology-driven problem solving system to describe and provide access to the data available for a traditional genome database for the parasite Trypanosoma Cruzi. The problem solving environment enables many advanced search and information presentation features that enable complex queries that would be difficult, if not impossible, to execute without semantic enhancements. However the problem solving features do not only improve the quality of the information retrieved but also reduces the strain on the user by improving usability over the standard system.
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使用自然语言链接和查询基因组数据集
实验数据与本体中表达的领域知识的关联有助于信息聚合、有意义的查询和知识发现,从而有助于分析基因组计划中可用的大量互联数据。TcruziKB是一个本体驱动的问题解决系统,用于描述和提供对传统克氏锥虫基因组数据库可用数据的访问。问题解决环境支持许多高级搜索和信息表示功能,这些功能支持在没有语义增强的情况下很难(如果不是不可能)执行的复杂查询。然而,问题解决功能不仅提高了检索信息的质量,而且通过提高标准系统的可用性,减少了用户的负担。
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