Authors:
Hyun Jung Lee
1
and
Mye M. Sohn
2
Affiliations:
1
Korea University, Korea, Republic of
;
2
Sungkyunkwan University, Korea, Republic of
Keyword(s):
Case-based Reasoning, Ontology, Agent-based System, Information Customization.
Related
Ontology
Subjects/Areas/Topics:
Agent Models and Architectures
;
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Case-Based Reasoning
;
Enterprise Information Systems
;
Pattern Recognition
;
Symbolic Systems
;
Theory and Methods
Abstract:
An Agent-based Information Customizing System is composed of a Case Generation Agent to transform unstructured documents to a structured form such as cases, and a Case Customization Agent to select the most similar case from the case-base and adjust the selected case depending on the user’s information requirements. The developed case contains features and their values, and each defined case that is based on the information can each has a different feature set. Thus, it is possible to represent the contained details in documents, and it is easier to find more appropriate information from the case pool. Two-step similarity calculation using features and values and domain ontology are applied to find an appropriate case. A case customization process is suggested to adjust the case. In our future work, the suggested system would be applied to traveller’s systems to integrate information and will prove its effectiveness.