Chemical knowledge for the Semantic Web

被引：0

作者：

Konyk, Mykola ^{[1
]}

De Leon, Alexander ^{[1
]}

Dumontier, Michel ^{[1
]}

机构：

[1] Carleton Univ, Sch Comp Sci, Ottawa, ON K1S 5B6, Canada

来源：

DATA INTEGRATION IN THE LIFE SCIENCES, PROCEEDINGS | 2008年 / 5109卷

关键词：

semantic web; knowledge representation; knowledge engineering; ontology; life sciences; question answering; OWL; chemistry; molecule; mashup;

D O I：

暂无

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

With over 80 file formats to represent various chemical attributes, the conversion between one format and another is invariably lossy due to informal specifications. In contrast, the use of a formal knowledge representation language such as the Web Ontology Language (OWL) enables precise molecular descriptions that can be reasoned about in a logically valid manner. In this paper, we describe a chemical knowledge representation using OWL. We demonstrate its utility in querying a new drug repository created from PubChem, DrugBank and DBpedia. By leveraging Semantic Web technologies, it becomes possible to integrate chemical information at differing levels of detail and granularity, opening new avenues for life science knowledge discovery.

引用

页码：169 / 176

页数：8

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