An important precondition for the success of the Semantic Web is founded on the principle that the content of web pages will be semantically annotated. This paper proposes a method of automatically acquiring semantic annotations (AASA). In the AASA method, we employ a combination of data mining and optimization to acquire semantic annotations. Key features of AASA include combining association rules, inference mechanism, genetic algorithm and self-organizing map to create semantic annotations, and using the k-nearest-neighbor query combined with simulated annealing to maintain semantic annotations.
['Lixin Han', 'Guihai Chen', 'Li Xie']
AASA: a Method of Automatically Acquiring Semantic Annotations