With respect to large-scale, static, Linked Data corpora, in this paper we discuss scalable
and distributed methods for entity consolidation (aka. smushing, entity resolution, object …

Publishing structured data and linking them to Linking Open Data (LOD) is an ongoing effort
to create a Web of data. Each newly involved data source may contain duplicated instances …

We propose a method for consolidating entities in RDF data on the Web. Our approach is
based on a statistical analysis of the use of predicates and their associated values to identify …

Instance matching aims to discover the linkage between different descriptions of real objects
across heterogeneous data sources. With the rapid development of Semantic Web …

In recent years, the growing availability of open-accessed data (eg, Wikipedia) combined
with the advances in algorithmic techniques for information extraction have facilitated the …

Nowadays, ontologies are widely used to solve data heterogeneity problems on the
Semantic Web. However, simple use of these ontologies may raise the heterogeneity …

The Web contains a vast amount of information on an abundance of topics, much of which is
encoded as structured data indexed by local databases. However, these databases are …

In this study, we propose a scalable approach for automatically identifying similar candidate
instance pairs in very large datasets. Efficient candidate pair generation is an essential to …

Instance matching is a key task in knowledge graph fusion, and it is critical to improving the
efficiency of instance matching, given the increasing scale of knowledge graphs. Blocking …

Le développement d'un système a pour objectif de répondre à des exigences. Aussi, le
succès de sa réalisation repose en grande partie sur la phase de spécification des …