Nikos Rizopoulos

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In: Proceedings of CAiSE2004 Springer-Verlag LNCS c ©2004 Springer-Verlag This paper describes the AutoMed repository and some associated tools, which provide the first implementation of the both as view (BAV) approach to data integration. Apart from being a highly expressive data integration approach, BAV in additional provides a method to support a wide(More)
From Proc. CAiSE05 LNCS 3520, Pages 326-341 c ©Springer-Verlag 2005 In data integration, a Merge operator takes as input a pair of schemas in some conceptual modelling language, together with a set of correspondences between their constructs, and produces as an output a single integrated schema. In this paper we present a new approach to implementing the(More)
Model Management (MM) is a way of raising the level of abstraction in metadata intensive application areas. The key idea behind Model Management is to develop a set of generic algorithmic operators that can be applied to a wide range of database management problems. Solutions to problems can then be specified at a high level of abstraction, by combining(More)
In model management, the Merge operator takes as input a pair of schemas, together with a set of mappings between their objects, and returns an integrated schema. In this paper we present a new approach to implementing the Merge operator based on semantic mappings between objects. Our approach improves upon previous work by (1) using formal low-level(More)
In this paper we survey and measure the performance of methods for reasoning using OWL-DL rules over data stored in an RDBMS. OWL-DL Reasoning may be broken down into two processes of <b>classification</b> and <b>type inference</b>. In the context of databases, classification is the process of deriving additional schema constructs from existing schema(More)
Objective Extend current schema integration approaches by taking into account the inherent uncertainty in the schema matching process. Schema integration’s core problems are: 1. schema matching: identifying mappings or correspondences between the objects of two schemas. Semantic schema matching identifies semantic mappings between schema objects, e.g.(More)
The task of model based data integration becomes more complicated when the data sources to be integrated are distributed, heterogeneous, and high in number. One recent solution to the issues of distribution and scale is to perform data integration using peer-to-peer (P2P) networks. Current P2P data integration architectures have mostly been flat, only(More)