Technology Integration for Large-scale Knowledge Processing

大规模知识处理的技术集成

• 批准号: 12680373
• 负责人: SATOU Kenji
• 金额: $ 2.24万
• 依托单位: Japan Advanced Institute of Science and Technology
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2000
• 资助国家: 日本
• 起止时间: 2000 至 2001
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-12680373/
• 关键词: genome databases; search engine; data mining; association rule mining; technical term; ontology

We studied on the integration of technologies about search engine and data mining and its application to vast amount and heterogeneous genome databases. First, we tried automatic clustering of texts in genome databases based on the index information stored in search engine. However, indices for "words" were not sufficient for precise clustering since the frequency of technical "terms" is essential in scientific text data like genome databases. Then, we constructed a sort of ontology (i.e. controlled collection of technical terms) from genome databases. Finally, we made functional enhancement to our search engine for genome databases by introducing a data mining algorithm called association rule mining, based on the two kinds of relationships among data entries, i.e, link information and ontology. Our system can show link and language information common and specific to a set of data entries (i.e. search result), in which a user is interested, during the iterative search and retrieval against genome databases. This service is provided via WWW, since the response of our system is sufficiently quick.

研究了搜索引擎与数据挖掘技术的集成及其在海量异构基因组数据库中的应用。首先，基于搜索引擎存储的索引信息，对基因组数据库中的文本进行自动聚类。然而，“词”的索引不足以实现精确的聚类，因为技术“术语”的频率在基因组数据库等科学文本数据中是必不可少的。然后，我们从基因组数据库中构建了一种本体（即受控的技术术语集合）。最后，基于数据条目之间的链接信息和本体两种关系，引入关联规则挖掘算法，对基因组数据库搜索引擎进行功能增强。在基因组数据库的迭代搜索和检索过程中，我们的系统可以显示用户感兴趣的一组数据条目（即搜索结果）的共同和特定的链接和语言信息。这个服务是通过WWW提供的，因为我们的系统的响应是足够快的。

项目成果

T.Naitou et al.: "A System for Finding Association Rules from Microarray Data Public Databases"Genome Informatics 2000. 356-357 (2000)

T.Naitou 等：“从微阵列数据公共数据库中查找关联规则的系统”基因组信息学 2000. 356-357 (2000)

K. Satou, Y. Fuseda, A. Konagaya, and T. Takagi.: "A Framework for Quick-and-Pinpoint Data Mining and its Application to Heterogeneous Genome Databases"Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies (KES'2001). Part 1. 7

K. Satou、Y. Fuseda、A. Konagaya 和 T. Takagi.：“快速精确数据挖掘框架及其在异质基因组数据库中的应用”基于知识的智能信息工程系统

K.Satou et al.: "A Framework for Quick-and-Pinpoint Data Mining and its Application to Heterogeneous Genome Databases"Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies (KES'2001). Part1. 773-777 (2001)

K.Satou 等：“快速精确数据挖掘框架及其在异质基因组数据库中的应用”基于知识的智能信息工程系统

T.Yagyuu et al.: "Toward Automatic Construction of Extensional Ontology from Genome Databases"Genome Informatics 2000. 442-443 (2000)

T.Yagyuu 等人：“从基因组数据库自动构建外延本体”Genome Informatics 2000. 442-443 (2000)

T.Oyama et al.: "Mining Association Rules Related to Protein-Protein Interactions"Genome Informatics 2000. 358-359 (2000)

T.Oyama 等：“挖掘与蛋白质-蛋白质相互作用相关的关联规则”Genome Informatics 2000. 358-359 (2000)