ViewSameAs: A Novel Link in Instance Matching Process

Abstract

In recent years, the Web has evolved from a global information space of interlinked documents to a space where both documents and data are linked. To integrate and share data, instance matching has been become the fundamental issue especially with the rapid development of linked data. In this paper, we propose an instance matching approach based on two main processes: the former is based on property classification (IM_PC) and the later is based on ViewSameAs link (IM_VSA). To accelerate greatly the matching process, IM_PC determines at first the matching candidate by comparing the discriminative property values. Then, the refinement result is done by comparing the description property values. In IM_PC two links are established: identity SameAs link and a novel proposed link ViewSameAs that aims to keep track of instances which share similar discriminative property values. In instance matching, another problem should be addressed when instances may have different descriptions even if their meanings are similar. So, this problem is addressed in IM_VSA process. The aim of this later is trying to get more identity link SameAs by Clustering instances matched with ViewSameAs. The Clustered instances are modeled as bags.

Data linking over RDF knowledge graphs: A survey

“…For example, a property can be classified as a Discriminative or a Descriptive property. The former (eg, rdf:type) can be used directly to distinguish the instances, while the latter (eg, rdfs:comment) can rather be used to describe the instances …”

“…In order to increase the number of identity links, the authors in Reference refine the generated set of ViewSameAs. For each instance, in ViewSameAs relation, a cluster is created saving the information of the number of similar descriptive property values shared between itself and the second part of the mentioned relation.…”

“…The ViewSameAs is replaced by an identity link between the master instance and each instance in that bag. References and did not provide any evaluation showing the effectiveness of their approaches.…”

“…Another important aspect is that with the rapid and continuous growth of KBs, IM approaches are expected to be capable of handling large and incremental updates of these KBs continuously. Yet, across the surveyed approaches in this article (except viewSameAs ), we are unaware of any existing method capable of saving the history of potential co‐references such that the method could leverage it for next iterations on updates of the KBs. Existing IM approaches must restart the linking process from scratch at each run.…”

Reusing Alignments for Discovering Instances Correspondences

“…In the literature, several approaches dealing with the IM problem are proposed. Diverse classifications are provided (Ghemmaz & Benchikha, 2016;Euzenat & Shvaiko, 2013;Ehrig, 2007). In fact, the result quality of an IM approach depends on (i) the correct using of the instances information and (ii) the measures utilized to find instances' similarity.…”