Ontology matching is a critical task to realize the Semantic Web vision, by enabling interoperability between ontologies. However, handling large ontologies efficiently is a challenge, given that ontology matching is a problem of quadratic complexity. AgreementMakerLight (AML) is a scalable automated ontology matching system developed to tackle large ontology matching problems, particularly for...

Schema matching is a crucial task to gather information of the same domain. However, this process is still largely performed manually or semi-automatically, discouraging the deployment of large-scale mediation systems. Indeed, these large-scale scenarii need a solution which ensures both an acceptable matching quality and good performance. In this article, we present the BMatch approach to effi...

Multi-wavelength data cross-match among multiple catalogs is a basic and unavoidable step to make distributed digital archives accessible and interoperable. As current catalogs often contain millions or billions objects, it is a typical data-intensive computation problem. In this paper, a high-efficient parallel approach of astronomical cross-match is introduced. We issue our partitioning and p...

The problem of unicity and reidentifiability of records in large-scale databases has been studied in different contexts and approaches, with focus on preserving privacy or matching records from different data sources. With an increasing number of service providers nowadays routinely collecting location traces of their users on unprecedented scales, there is a pronounced interest in the possibil...

Today schema matching is a basic problem in almost every data intensive distributed application, namely enterprise information integration, collaborating web services, ontology based agents communication, web catalogue integration and schema based P2P database systems. There has been a plethora of algorithms and techniques researched in schema matching and integration for data interoperability....

Event-series pattern matching is a major component of largescale data analytics pipelines enabling a wide range of system diagnostics tasks. A precursor to pattern matching is an expensive “shuffle the world” stage wherein data are ordered by time and shuffled across the network. Because many existing systems treat the pattern matching engine as a black box, they are unable to optimizing the en...

In the security video surveillance system, image splicing technology faces difficulty of achieving large parallax and small overlap area. This paper summarizes traditional stitching analyzes that matching algorithm is key to solve problem stitching. Aiming at problems methods with low accuracy cannot adapt non-rigid transformatio, a model based on proposed in this for tasks. The which combines ...