Proceedings:
Knowledge Representation and Reasoning
Volume
Issue:
Proceedings of the AAAI Conference on Artificial Intelligence, 17
Track:
Ontology
Downloads:
Abstract:
Encoding knowledge is time consuming and expensive. A possible solution to reduce the cost of developing a new knowledge base (KB) is to reuse existing knowledge. Previous work addressing this problem has focused on standards for representing, exchanging, and accessing knowledge, and on creating large repositories of knowledge. Results on the level of reuse achievable have been reported. In this paper, we focus on the process of reuse and report a case study on constructing a KB by reusing existing knowledge. The reuse process involved the following steps: translation, comprehension, slicing, reformulation, and merging. We discuss technical problems encountered at each of these steps and explain how we solved them.
AAAI
Proceedings of the AAAI Conference on Artificial Intelligence, 17