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SLINT+ Results for OAEI 2013 Instance Matching
| Citations: | 2 - 0 self |
BibTeX
@MISC{Nguyen_slint+results,
author = {Khai Nguyen and Ryutaro Ichise},
title = {SLINT+ Results for OAEI 2013 Instance Matching},
year = {}
}
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Abstract
Abstract. The goal of instance matching is to detect identity resources, which refer to the same real-world object. In this paper, we introduce SLINT+, a novel interlinking system. SLINT+ detects all identity linked data resources between two given repositories. SLINT+ does not require the specifications of RDF predicates and labeled matching resources. SLINT+ performs competitively at OAEI instance matching campaign this year. 1 Presentation of the system The problem of detecting instances co-referring to the same real-world object is positively important in data integration. It is useful for reducing the heterogeneity and warranting the consistency of data. The asynchronous development of linked data increasingly requires the specific linked data instance matching algorithms to connect existing instances and newly added instances. In linked data, the differences of data representation appear not only in object values, but also in RDF predicates, which specify the meaning of objects properties. This issue is popularly found in different data repositories or even the same repository but
