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: 2011
• 资助国家: 加拿大
• 起止时间: 2011-01-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=481705
• 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物质的网页，但它们几乎没有能力找到具有特定性质的生物化学物质。这样做的原因是，网络上的生化信息不是以机器可以理解的格式表示的，因此不能以复杂的方式进行查询。如果使用描述逻辑等形式知识表示语言来表示生物化学，那么我们就可以使用计算机对信息进行推理，并推断出在我们共享的概念化中明确的知识，即生化本体。