Avoiding Deceptive Annotations in the Semantic Web

Deceptive annotations are becoming an important problem as more and more people start to tag documents, and the problem has become an argument to against the Semantic Web. Skeptics believe that developers make mistakes when annotating documents, and developers may even abuse annotations from time to time. Due to the difficulty of detecting and resolving deceptive tags, these skeptics openly wonder whether semantic annotations may bring more trouble than benefit. In this paper we present a deception avoidance resolution method. By adding personal specifications about ontology concepts through instance recognition semantics, Semantic Web users can avoid being deceived by improperly annotated data. At the same time, our deception avoidance strategy also passively discourages annotators from falsely tagging documents by decreasing the profit they can gain from deceptive annotations. Finally, our deception avoidance mechanism still preserves the right to annotate text without restriction.