document: Constructing virtual documents for ontology matching On the investigation of linguistic techniques used in ontology matching , we propose a new idea of virtual documents to pursue a cost-effective approach to linguistic matching in this paper . Basically , as a collection of weighted words , the virtual document of a URIref declared in an ontology contains not only the local descriptions but also the neighboring information to reflect the intended meaning of the URIref . Document similarity can be computed by traditional vector space techniques , and then be used in the similarity-based approaches to ontology matching . In particular , the RDF graph structure is exploited to define the description formulations and the neighboring operations . Experimental results show that linguistic matching based on the virtual documents is dominant in average F-Measure as compared to other three approaches . It is also demonstrated by our experiments that the virtual documents approach is cost-effective as compared to other linguistic matching approaches .
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