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RDF Graph Alignment with Bisimulation

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http://www.vldb.org/pvldb/vol9/p1149-buneman.pdf
https://dl.acm.org/citation.cfm?doid=2994509.2994531
Original languageEnglish
Pages (from-to)1149-1160
Number of pages12
JournalProceedings of the VLDB Endowment (PVLDB)
Volume9
Issue number12
Early online date1 Aug 2016
DOIs
Publication statusPublished - Sep 2016

Abstract

We investigate the problem of aligning two RDF databases, an essential problem in understanding the evolution of ontologies. Our approaches address three fundamental challenges: 1) the use of “blank” (null) names, 2) ontology changes in which different names are used to identify the same entity, and 3) small changes in the data values as well as small changes in the graph structure of the RDF database. We propose approaches inspired by the classical notion of graph bisimulation and extend them to capture the natural metrics of edit distance on the data values and the graph structure. We evaluate our methods on three evolving curated data sets. Overall, our results show that the proposed methods perform well and are scalable.

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