IR and AI: using co-occurrence theory to generate lightweight ontologies
Ying Ding, Robert Engels · 2002
This paper illustrates the application of cooccurrence theory to generate lightweight ontologies semi-automatically. First, the relationship of Information Retrieval (IR) and Artificial Intelligence (AI) is discussed in a general way. Then two case studies have been conducted to generate lightweight ontologies in specific domains (Information Retrieval domain and European part of CIA FactBook). Further discussion is articulated and future work is proposed, especially the possible future research direction on ontology learning.