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Relatedness between Vocabularies on the Web of Data: A Taxonomy and an Empirical Study

17 Pages Posted: 18 Dec 2019 First Look: Accepted

See all articles by Gong Cheng

Gong Cheng

Nanjing University - National Key Laboratory for Novel Software Technology

Yuzhong Qu

Nanjing University - National Key Laboratory for Novel Software Technology

Abstract

Given thousands of vocabularies published and used on the Web of data, the sociology of vocabulary creation and application is receiving increasing attention, which studies the statistical features of and the relations between vocabularies from various sources. In this article, we tackle a taxonomy of relatedness between vocabularies, comprising declarative, topical and distributional perspectives, which are derived from the structural description, textual description and context of use of a vocabulary, respectively. We characterize each perspective by using a graph model representing vocabularies and their relatedness, and implement it over a data set containing 2,996 vocabularies and 4.1 billion RDF triples, based on which we perform degree, connectivity and cluster analysis. We also discuss the correlation between different perspectives. The results and findings are expected to be useful for future research and development on vocabularies.

Keywords: graphanalysis, ontology, relatedness, vocabulary

Suggested Citation

Cheng, Gong and Qu, Yuzhong, Relatedness between Vocabularies on the Web of Data: A Taxonomy and an Empirical Study (2013). Journal of Web Semantics First Look. Available at SSRN: https://ssrn.com/abstract=3199034 or http://dx.doi.org/10.2139/ssrn.3199034

Gong Cheng (Contact Author)

Nanjing University - National Key Laboratory for Novel Software Technology ( email )

Nanjing, Jiangsu 210093
China

Yuzhong Qu

Nanjing University - National Key Laboratory for Novel Software Technology ( email )

Nanjing, Jiangsu 210093
China

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