Semantic Web Meets Computational Intelligence: State of the Art and Perspectives

The state of the art of applying Computational Intelligence (CI) approaches into Semantic Web applications is studied. The vital characteristics or challenges inherent to the Semantic Web including vastness, vagueness, and inconsistency, are identified. Existing researches with CI methods incorporated into the Semantic Web from perspectives of these characteristics is also surveyed. It is found that as content in forms of RDF or OWL can manifest itself as self-descriptive data, more accurate, complete and meaningful results can be obtained with the assistance of automated query and reasoning process. Fuzzy approaches have also been applied to resolving semantic conflicts between ontologies. Ant-inspired swarm approaches have been used to implement distributed storage and retrieval system for large-scale RDF data sets.