Vita Randi, Overton James A, Greenbaum Jason A, Sette Alessandro, Peters Bjoern
Division of Vaccine Discovery, La Jolla Institute for Allergy and Immunology, 9420 Athena Circle, La Jolla, CA 92037, USA.
J Biomed Semantics. 2013 Apr 15;4 Suppl 1(Suppl 1):S6. doi: 10.1186/2041-1480-4-S1-S6.
Ontologies categorize entities, express relationships between them, and provide standardized definitions. Thus, they can be used to present and enforce the specific relationships between database components. The Immune Epitope Database (IEDB, http://www.iedb.org) utilizes the Ontology for Biomedical Investigations (OBI) and several additional ontologies to represent immune epitope mapping experiments. Here, we describe our experiences utilizing this representation in order to provide enhanced database search functionality. We applied a simple approach to incorporate the benefits of the information captured in a formal ontology directly into the user web interface, resulting in an improved user experience with minimal changes to the database itself. The integration is easy to maintain, provides standardized terms and definitions, and allows for subsumption queries. In addition to these immediate benefits, our long-term goal is to enable true semantic integration of data and knowledge in the biomedical domain. We describe our progress towards that goal and what we perceive as the main obstacles.
本体对实体进行分类,表达它们之间的关系,并提供标准化定义。因此,它们可用于呈现和强化数据库组件之间的特定关系。免疫表位数据库(IEDB,http://www.iedb.org)利用生物医学研究本体(OBI)和其他几个本体来表示免疫表位映射实验。在此,我们描述利用这种表示方式的经验,以提供增强的数据库搜索功能。我们采用了一种简单的方法,将形式本体中捕获的信息的优势直接整合到用户网页界面中,从而在对数据库本身进行最小更改的情况下改善了用户体验。这种整合易于维护,提供标准化的术语和定义,并允许进行包含查询。除了这些直接好处外,我们的长期目标是在生物医学领域实现数据和知识的真正语义整合。我们描述了朝着该目标取得的进展以及我们认为的主要障碍。