The global flow of information is being developed at unprecedented speed. However, users can not sufficiently utilize huge amount of information by using conventional systems whose major functions are numerical calculation, symbol matching in information retrieval and deduction.Therefore, advanced utilization of contents of information are required. In order to realize such sophisticated utilization, it is necessary to understand meaning and characteristics of information. Therefore, the structuralization is required to represent various semantic relationships among information. In order to satisfy such requirement, we proposed a new representation of such structure and made a system for self organized knowledge resources based on semantic relationships.
However, this system is a prototype and can not make enough structuralized knowledge resources to realize sophisticated utilization. Semantic relationships among knowledge resources must be correct and appropriate to objectives of applications. The main reason is that advanced utilization consists of navigations based on semantic relationships. Incorrect or inappropriate relationships influence such navigations. This paper reports problems which are classified and systematized at the method of an automatic extraction of hierarchical relationships which called SS-KWEIC because hierarchical relationships are the basis of semantic relationships in our concepts.
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