Analysis on Interactive Structure of Knowledge Acquisition
Dezheng Zhang, Aziguli Wulamu, Lixin Gao, Pin Shan
Abstract
Dezheng Zhang, Aziguli Wulamu, Lixin Gao, Pin Shan
Abstract
Knowledge Acquisition has been the focus in knowledge engineering for a long time. In this paper, knowledge acquisition technique based on structural analysis is formed by applying structural modeling, which is on basis of knowledge structural model. This technique can be applied to knowledge acquisition by dynamic interaction; and the new knowledge is related to the existing meta knowledge system. By enlighten of the existing knowledge, this method can automatically accomplish knowledge architecture and implicit relation acquisition. It is applied to Traditional Chinese Medicine (TCM) diagnosis and treatment knowledge acquisition in this paper; and the results show that the structural model not only indicates unknown relations, but also protrudes the structural relations of existing knowledge, thus making knowledge acquisition more efficient.
OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Knowledge Acquisition has been the focus in knowledge engineering for a long time. In this paper, knowledge acquisition technique based on structural analysis is formed by applying structural modeling, which is on basis of knowledge structural model. This technique can be applied to knowledge acquisition by dynamic interaction; and the new knowledge is related to the existing meta knowledge system. By enlighten of the existing knowledge, this method can automatically accomplish knowledge architecture and implicit relation acquisition. It is applied to Traditional Chinese Medicine (TCM) diagnosis and treatment knowledge acquisition in this paper; and the results show that the structural model not only indicates unknown relations, but also protrudes the structural relations of existing knowledge, thus making knowledge acquisition more efficient.
Key concepts: Knowledge acquisition, Computer science, Knowledge engineering, Knowledge-based systems, Knowledge integration, Domain knowledge, Knowledge extraction, Procedural knowledge