Abstract
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.
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