Using formal concept analysis with an incremental knowledge acquisition system for web document management

It is necessary to provide a method to store Web information effectively so it can be utilised as a future knowledge resource. A commonly adopted approach is to classify the retrieved information based on its content. A technique that has been found to be suitable for this purpose is Multiple Classification Ripple-Down Rules (MCRDR). The MCRDR system constructs a classification knowledge base over time using an incremental learning process. This incremental method of acquiring classification knowledge suits the nature of Web information because it is constantly evolving and being updated. However, despite this advantage, the classification knowledge of the MCRDR system is not often utilised for browsing the classified information. This is because it does not directly organise the knowledge in a way that is suitable for browsing. As a result, often an alternate structure is utilised for browsing the information usually based on a user’s abstract understanding of the information domai...

• Type: Conference
• Year: 2006
• Where: ACSC
• Authors: Timothy J. Everts, Sung Sik Park, Byeong Ho Kang
• Keywords: ACSC 2006, Classification Knowledge, Classification Knowledge Base, Computer Science, Future Knowledge Resource