Extending CBR with Multiple Knowledge Sources from Web

摘要

There has been a recent interest in the Web as a very promising source of cases for CBR applications. This paper describes some alternatives that could be exploited to include these sources of cases in real CBR systems. A theoretical framework is presented that categorizes different approaches to exploit Web sources for populating the case base or obtaining the background knowledge required to perform the retrieval and adaptation stages. Finally, we introduce a real CBR system that uses Web knowledge to improve the reasoning cycle.