Towards a Universal Query Language for Resource Description Framework (RDF) and Topic Maps
Resource Description Framework (RDF) and topic maps are the two prominent technologies of semantic web developed for the purpose to make Web useful for humans and 'understandable' by machines by facilitating knowledge integration and sharing. The basic goal of RDF and topic maps is the same, i.e. to successfully turn the vision of semantic web into reality by attaching rich structured semantics to web contents. The problem of interoperability between RDF and topic maps emerged due to the difference in their fundamental architectures and their owner organizations which may lead to islands on the future web.