Biological knowledge discovery using the semantic web framework

使用语义网络框架的生物知识发现

• 批准号: 327371-2007
• 负责人: Dumontier, Michel
• 金额: $ 1.09万
• 依托单位: Carleton University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2010
• 资助国家: 加拿大
• 起止时间: 2010-01-01 至 2011-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=457903
• 关键词: Biological; knowledge; discovery; using; semantic

Standard web search engines might find web pages that describe biochemicals, but they have little capability in finding biochemicals with a specific set of properties. The reason for this is that biochemical information on the web is not represented in a machine understandable format, and as such, cannot be queried in a complex manner. If biochemicals were represented using a formal knowledge representation language such as description logics, then we could use computers to reason about the information and infer knowledge that is explicit in our shared conceptualization, i.e. a biochemical ontology.

标准的网络搜索引擎可能会找到描述生物化学品的网页，但它们几乎没有能力找到具有特定属性的生物化学品。其原因是网络上的生物化学信息不是以机器可理解的格式表示的，因此不能以复杂的方式查询。如果生物化学物质是用一种正式的知识表示语言（如描述逻辑）表示的，那么我们就可以用计算机来推理信息，并推断出我们共享的概念化中明确的知识，即生物化学本体论。