schema matching is a critical step in many applications, such as data warehouse loading, online analytical process (olap), data mining, semantic web [2] and schema integration. this task is defined for finding the semantic correspondences between elements of two schemas. recently, schema matching has found considerable interest in both research and practice. in this paper, we present a new impr...

Schema matching is a critical step in many applications, such as data warehouse loading, Online Analytical Process (OLAP), Data mining, semantic web [2] and schema integration. This task is defined for finding the semantic correspondences between elements of two schemas. Recently, schema matching has found considerable interest in both research and practice. In this paper, we present a new impr...

CroMatcher is an ontology matching system based on terminological and structural matchers. The most important part of the system is automated weighted aggregation of correspondences produced by using different basic ontology matchers. This is the first year CroMatcher has been involved in the OAEI campaign. The results obtained this year will certainly help in finding and resolving shortcomings...

Automated score-performance matching is a complex problem due to the use of expressive timing by performers and the presence of notes that are unspecified in the score, such as performance errors and ornaments. Automated matchers typically use performance data extracted from MIDI recordings. For the most part, these algorithms use structural information, such as pitch and chronological successi...

CroMatcher is an ontology matching system based on parallel composition of basic ontology matchers. There are two fundamental parts of the system: first, automated weighted aggregation of correspondences produced by different basic matchers in the parallel composition; second, an iterative final alignment method. This is the second time CroMatcher has been involved in the OAEI campaign. Basic i...

The AgreementMaker system is unique in that it features a powerful user interface, a flexible and extensible architecture, an integrated evaluation engine that relies on inherent quality measures, and semi-automatic and automatic methods. This paper describes the participation of AgreementMaker in the 2010 OAEI competition in three tracks: benchmarks, anatomy, and conference. After its successf...

Due to the XML’s flexibility and semi-structured nature, complications arise when trying to transplant data from one XML to another. Researchers have made great strides in solving the problem of integrating homogenous XML. But there are very few specifically addressing the problem of integrating heterogenous documents. We introduce XSD Matcher, a system for automatically mapping a collection of...

This paper proposes a hierarchical multi-label matcher for patch-based face recognition. In signature generation, a face image is iteratively divided into multi-level patches. Two different types of patch divisions and signatures are introduced for 2D facial image and texture-lifted image, respectively. The matcher training consists of three steps. First, local classifiers are built to learn th...

The YAM++ system is a self configuration, flexible and extensible ontology matching system. YAM++ takes advantages of many techniques coming from different fields such as machine learning, information retrieval, graph matching, etc. in order to enhance the matching quality. In this paper, we briefly present the YAM++ approach and its results on OAEI 2012 campaign. 1 Presentation of the system Y...