Presented at: 7th International Semantic Web Conference (ISWC2008)http://dx.doi.org/10.1007/978-3-540-88564-1_42
As with the decentralized nature of the Semantic Web, a lot of terms (classes and properties) have been published by various parties, to be shared for describing resources. Terms are usually defined based on other terms, and thus a directed dependence relation is formed. The study of term dependence is a foundation work and is important for many other tasks, such as ontology search, maintenance, and distributed reasoning on the Web scale. In this paper, we propose a notion of term dependence on the Semantic Web, and analyze the complex network characteristics of the term dependence graph and the vocabulary dependence graph. The graphs analyzed in our experiments are constructed from a data set that contains 1,278,233 terms in 3,039 vocabularies. The results characterize the current status of schemas on the Semantic Web in many aspects, including degree distributions, reachability, and connectivity.
Keywords: complex network analysis, term dependence graph, vocabulary dependence, Semantic Web
Resource URI on the dog food server: http://data.semanticweb.org/conference/iswc/2008/paper/research/103
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