Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/20650
Title: Generating visual concept maps based on image annotation and commonsense knowledge acquisition
Authors: Alireza, Kashian
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2008
Source: Alireza, K. (2008). Generating visual concept maps based on image annotation and commonsense knowledge acquisition. Master’s thesis, Nanyang Technological University, Singapore.
Abstract: 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.
URI: https://hdl.handle.net/10356/20650
DOI: 10.32657/10356/20650
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

Files in This Item:
File Description SizeFormat 
AlirezaKashian08.pdf16.97 MBAdobe PDFThumbnail
View/Open

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.