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...
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sg-ntu-dr.10356-206502023-07-04T17:30:12Z Generating visual concept maps based on image annotation and commonsense knowledge acquisition Alireza, Kashian Gay Kheng Leng, Robert School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering 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. MASTER OF ENGINEERING (EEE) 2009-12-21T07:54:39Z 2009-12-21T07:54:39Z 2008 2008 Thesis Alireza, K. (2008). Generating visual concept maps based on image annotation and commonsense knowledge acquisition. Master’s thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/20650 10.32657/10356/20650 en 174 p. application/pdf |
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Singapore Singapore |
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DRNTU::Engineering::Electrical and electronic engineering Alireza, Kashian Generating visual concept maps based on image annotation and commonsense knowledge acquisition |
| description |
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. |
| author2 |
Gay Kheng Leng, Robert |
| author_facet |
Gay Kheng Leng, Robert Alireza, Kashian |
| format |
Theses and Dissertations |
| author |
Alireza, Kashian |
| author_sort |
Alireza, Kashian |
| title |
Generating visual concept maps based on image annotation and commonsense knowledge acquisition |
| title_short |
Generating visual concept maps based on image annotation and commonsense knowledge acquisition |
| title_full |
Generating visual concept maps based on image annotation and commonsense knowledge acquisition |
| title_fullStr |
Generating visual concept maps based on image annotation and commonsense knowledge acquisition |
| title_full_unstemmed |
Generating visual concept maps based on image annotation and commonsense knowledge acquisition |
| title_sort |
generating visual concept maps based on image annotation and commonsense knowledge acquisition |
| publishDate |
2009 |
| url |
https://hdl.handle.net/10356/20650 |
| _version_ |
1772828593986994176 |