Generating visual concept maps based on image annotation and commonsense knowledge acquisition

Representing a domain of knowledge in a computer is a highly complex task that involves the knowledge representation itself, domain-specific particularities, and problem in extracting knowledge from people, among others. This problem becomes more complex when knowledge is dynamically introduced by a...

全面介紹

Saved in:
書目詳細資料
主要作者: Alireza, Kashian
其他作者: Gay Kheng Leng, Robert
格式: Theses and Dissertations
語言:English
出版: 2009
主題:
在線閱讀:https://hdl.handle.net/10356/20650
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!
實物特徵
總結:Representing a domain of knowledge in a computer is a highly complex task that involves the knowledge representation itself, domain-specific particularities, and problem in extracting knowledge from people, among others. This problem becomes more complex when knowledge is dynamically introduced by a user who is not necessarily a computer expert. According to Novak[1], a formalism named "concept map" is extremely powerful for human education and communication. These simple nets would be auxiliary to computer, more specifically in tasks where structural domain knowledge is important. Concept maps are also useful for reasoning, information retrieval and they even can be used for knowledge simulation and learning purposes.