Semantic integration has been a long-standing challenge for the database community. It has
received steady attention over the past two decades, and has now become a prominent area …

The first edition of this book appeared in 1991 when the technology was new and there were
not too many products. In the Preface to the first edition, we had quoted Michael Stonebraker …

Schema matching is a basic problem in many database application domains, such as data
integration, E-business, data warehousing, and semantic query processing. In current …

Publisher Summary This chapter presents the generic schema match system, COmbination
MAtch (COMA), which provides an extensible library of simple and hybrid match algorithms …

Schema matching is a critical step in many applications, such as XML message mapping,
data warehouse loading, and schema integration. In this paper, we investigate algorithms for …

A data-integration system provides access to a multitude of data sources through a single
mediated schema. A key bottleneck in building such systems has been the laborious manual …

This paper presents a novel fully automatic bi-modal, face and speaker, recognition system
which runs in real-time on a mobile phone. The implemented system runs in real-time on a …

Recently, schema matching has found considerable interest in both research and practice.
Determining matching components of database or XML schemas is needed in many …

Creating semantic matches between disparate data sources is fundamental to numerous
data sharing efforts. Manually creating matches is extremely tedious and error-prone. Hence …

Developing intelligent tools for the integration of information extracted from multiple
heterogeneous sources is a challenging issue to effectively exploit the numerous sources …