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Process model matching refers to the task of creating correspondences among activities of different process models. This task is crucial whenever comparison and alignment of process models are called for. In recent years, there have been a few attempts to tackle process model matching. Yet, evaluating the obtained sets of correspondences reveals high(More)
Web-scale data integration involves fully automated efforts which lack knowledge of the exact match between data descriptions. In this paper, we introduce schema matching prediction, an assessment mechanism to support schema matchers in the absence of an exact match. Given attribute pair-wise similarity measures, a predictor predicts the success of a(More)
The increased demand for distributed computations on big data has led to solutions such as SCOPE, DryadLINQ, Pig, and Hive, which allow the user to specify queries in an SQL-like language, enriched with sets of user-defined operators. The lack of exact semantics for user-defined operators interferes with the query optimization process, thus putting the(More)
Schema matching in uncertain environments faces several challenges, among them the identification of complex correspondences. In this paper, we present a method to address this challenge based on top-k matchings, i.e., a set of matchings comprising only 1: 1 correspondences derived by common matchers. We propose the unified top-k match graph and define a(More)
Given a schema and a set of concepts, representative of entities in the domain of discourse, schema cover defines correspondences between concepts and parts of the schema. Schema cover aims at interpreting the schema in terms of concepts and thus, vastly simplifying the task of schema integration. In this work we investigate two properties of schema cover,(More)
In this work we extend the commonly used binary evaluation of schema matching to support evaluation methods for non-binary matching results as well. We motivate our work with some new applications of schema matching. Non-binary evaluation is formally defined together with a set of three new, non-binary evaluation measures using a vector-space representation(More)
We present the results of an integrated matching system which is the result of a cooperation project between the Israel Institute of Technology (Technion) and the RWTH Aachen University in Germany. We have integrated the GeRoMeSuite system (from RWTH Aachen) and SMB (from Technion). Both tools aim at matching schemas; while GeRoMeSuite offers a variety of(More)