Ontology development methodologies emphasise knowledge gathering from domain experts and documentary resources, and knowledge representation using an ontology language such as OWL or FOL. However, working ontologists are often surprised by how challenging and slow it can be to develop ontologies. Here, with a particular emphasis on the sorts of ontologies that are content-heavy and intended to be shared across a community of users (reference ontologies), we propose that a significant and heretofore under-emphasised contributor of challenges during ontology development is the need to create, or bring about, consensus in the face of disagreement. For this reason reference ontology development cannot be automated, at least within the limitations of existing AI approaches. Further, for the same reason ontologists are required to have specific social-negotiating skills which are currently lacking in most technical curricula.
翻译:肿瘤发展方法强调从领域专家和文献资源收集知识,以及使用OWL或FOL等本体语言的知识表述。然而,从事本体学家往往对发展本体学可能具有多大的难度和速度感到惊讶。在这里,我们建议,在本体学发展过程中,一个重要和迄今未得到充分重视的挑战因素是,面对分歧,必须创造或促成共识。为此原因,至少在现有的人工智能方法的局限范围内,无法自动地参考本体学发展。此外,出于同样的原因,还需要由专家掌握目前大多数技术课程所缺乏的具体的社会谈判技能。