Ochs Christopher, Agrawal Ankur, Perl Yehoshua, Halper Michael, Tu Samson W, Carini Simona, Sim Ida, Noy Natasha, Musen Mark, Geller James
New Jersey Institute of Technology, Newark, NJ, USA.
AMIA Annu Symp Proc. 2012;2012:681-9. Epub 2012 Nov 3.
An abstraction network is an auxiliary network of nodes and links that provides a compact, high-level view of an ontology. Such a view lends support to ontology orientation, comprehension, and quality-assurance efforts. A methodology is presented for deriving a kind of abstraction network, called a partial-area taxonomy, for the Ontology of Clinical Research (OCRe). OCRe was selected as a representative of ontologies implemented using the Web Ontology Language (OWL) based on shared domains. The derivation of the partial-area taxonomy for the Entity hierarchy of OCRe is described. Utilizing the visualization of the content and structure of the hierarchy provided by the taxonomy, the Entity hierarchy is audited, and several errors and inconsistencies in OCRe's modeling of its domain are exposed. After appropriate corrections are made to OCRe, a new partial-area taxonomy is derived. The generalizability of the paradigm of the derivation methodology to various families of biomedical ontologies is discussed.
抽象网络是由节点和链接组成的辅助网络，它提供了本体的紧凑、高级视图。这种视图有助于本体的定位、理解和质量保证工作。本文提出了一种方法，用于为临床研究本体（OCRe）推导一种称为部分区域分类法的抽象网络。基于共享领域，OCRe被选为使用网络本体语言（OWL）实现的本体的代表。描述了OCRe实体层次结构的部分区域分类法的推导过程。利用分类法提供的层次结构内容和结构的可视化，对实体层次结构进行审核，并揭示了OCRe在其领域建模中的一些错误和不一致之处。对OCRe进行适当修正后，推导了新的部分区域分类法。讨论了推导方法范式对各种生物医学本体家族的通用性。
