SITUATION THEORY AS A MODEL FOR ONTOLOGICAL ENGINEERING AND KNOWLEDGE

我们相信，德夫林在他最近的一次演讲中所描述的情境理论， 《逻辑与信息》（1991）一书可能提供了一个有用的方法， 本体工程 情况提供了一种灵活的方法， 知识表示非常适合利用一个轻量级 将自然语言解析成短语单元。通过这种方法， 我们的目的是设计一个充分利用自动化的系统 尽可能地帮助知识获取，但依赖于 最终依靠人类来纠正这个过程。作为知识库 反过来，它将被用来帮助收购过程。作为 设想的初始阶段将是最劳动密集型的。第一 该系统的任务将是测试其在一小组的有用性， 文件，以确定它如何可以帮助检索。如果结果为阳性 我们可能会进行更雄心勃勃的努力，建立一个庞大的基础， 分子生物学中的信息。

We believe that situation theory as described by Devlin in his recent book, Logic and Information (1991) may provide a useful approach to ontological engineering. Situations provide a flexible method of knowledge representation well suited to take advantage of a light weight parse of natural language into phrase units. With this approach it is our purpose to design a system that takes advantage of as much automatic processing as possible to aid in knowledge acquisition but which relies ultimately on the human to correct the process. As the knowledge base grows it will in turn be used to aid in the process of acquisition. As conceived the initial stages will be the most labor intensive. The first task for the system will be to test its usefulness on a small set of documents to determine how it may aid retrieval. If results are positive we may proceed to a more ambitious effort to build a large base of information in molecular biology.