Information retrieval and knowledge discovery utilizing a biomedical patent Semantic Web

被引：58

作者：

Mukherjea, S ^{[1
]}

Bamba, B ^{[1
]}

Kankar, P ^{[1
]}

机构：

[1] Indian Inst Technol, IBM India Res Lab, New Delhi 110016, India

来源：

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING | 2005年 / 17卷 / 08期

关键词：

biomedical information retrieval; Semantic Web; information extraction;

D O I：

10.1109/TKDE.2005.130

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Before undertaking new biomedical research, identifying concepts that have already been patented is essential. A traditional keyword-based search on patent databases may not be sufficient to retrieve all the relevant information, especially for the biomedical domain. This paper presents BioPatentMiner, a system that facilitates information retrieval and knowledge discovery from biomedical patents. The system first identifies biological terms and relations from the patents and then integrates the information from the patents with knowledge from biomedical ontologies to create a Semantic Web. Besides keyword search and queries linking the properties specified by one or more RDF triples, the system can discover semantic associations between the Web resources. The system also determines the importance of the resources to rank the results of a search and prevent information overload while determining the semantic associations.

引用

页码：1099 / 1110

页数：12

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