Instance matching benchmark for spatial data: a challenge proposal to OAEI

The number of datasets published in the Web of Data as part of the Linked Data Cloud is constantly increasing. The Linked Data paradigm is based on the unconstrained publication of information by different publishers, and the interlinking of Web resources across knowledge bases. In most cases, the cross-dataset links are not explicit in the dataset and must be automatically determined using Instance Matching (IM) tools (also known as record linkage [1], duplicate detection [2] and, entity resolution [3]) amongst others. The large variety of techniques requires their comparative evaluation to determine which one is best suited for a given context. Performing such an assessment generally requires well-defined and widely accepted benchmarks to determine the weak and strong points of the proposed techniques and/or tools. A number of real and synthetic benchmarks that address different data linking challenges have been proposed for evaluating the performance of such systems. Those include, but are not limited to, IIMB 2012 [4], Sandbox 2012 [4], RDFT 2013 [5], ID-REC 2014 [6], ONTOBI 2010 [7], Author Task 2015 [8] and Lance 2015 [9] to mention few. A more complete survey can be found in [10].