PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment
PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment
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发表时间：
2000-07
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通讯作者：
Natasha Noy;M. Musen
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作者：
Natasha Noy;M. Musen
本体设计领域的研究人员已经在许多领域领域开发了本体的内容。近来，本体在万维网上变得越来越普遍，它们为网页中的注释提供语义。本体开发的这种分布式性质导致了大量的本体覆盖重叠的领域。为了重用这些本体，首先需要将它们合并或相互对齐。本体对齐和合并的过程通常是手动处理的，并且通常构成了共享过程的一个大而繁琐的部分。我们已经开发并实现了PROMPT，一种算法，提供了一个半自动的方法，本体合并和对齐。PROMPT自动执行某些任务，并指导用户执行需要其干预的其他任务。PROMPT还确定本体状态中可能的不一致性，这是由用户的操作引起的，并建议补救这些不一致性的方法。PROMPT基于一个非常通用的知识模型，因此可以跨各种平台应用。我们的形成性评估表明，人类专家遵循了PROMPT生成的90%的建议，并且用户调用的总知识库操作中有74%是由PROMPT建议的。
Researchers in the ontology-design field have developed the content for ontologies in many domain areas. Recently, ontologies have become increasingly common on the WorldWide Web where they provide semantics for annotations in Web pages. This distributed nature of ontology development has led to a large number of ontologies covering overlapping domains. In order for these ontologies to be reused, they first need to be merged or aligned to one another. The processes of ontology alignment and merging are usually handled manually and often constitute a large and tedious portion of the sharing process. We have developed and implemented PROMPT, an algorithm that provides a semi-automatic approach to ontology merging and alignment. PROMPT performs some tasks automatically and guides the user in performing other tasks for which his intervention is required. PROMPT also determines possible inconsistencies in the state of the ontology, which result from the user’s actions, and suggests ways to remedy these inconsistencies. PROMPT is based on an extremely general knowledge model and therefore can be applied across various platforms. Our formative evaluation showed that a human expert followed 90% of the suggestions that PROMPT generated and that 74% of the total knowledge-base operations invoked by the user were suggested by PROMPT.