Erhard Rahm

Zohra Bellahsene

Angela Bonifati

Requiring heterogeneous information systems to cooperate and communicate has now become crucial, especially in application areas like e-business, Web-based mash-ups and the life sciences. Such cooperating systems have to automatically and efficiently match, exchange, transform and integrate large data sets from different sources and of different structure in order to enable seamless data exchange and transformation. The book edited by Bellahsene, Bonifati and Rahm provides an overview of the ways in which the schema and ontology matching and mapping tools have addressed the above requirements and points to the open technical challenges. The contributions from leading experts are structured into three parts: large-scale and knowledge-driven schema matching, quality-driven schema mapping and evolution, and evaluation and tuning of matching tasks. The authors describe the state of the art by discussing the latest achievements such as more effective methods for matching data, mapping transformation verification, adaptation to the context and size of the matching and mapping tasks, mapping-driven schema evolution and merging, and mapping evaluation and tuning. The overall result is a coherent, comprehensive picture of the field. With this book, the editors introduce graduate students and advanced professionals to this exciting field. For researchers, they provide an up-to-date source of reference about schema and ontology matching, schema and ontology evolution, and schema merging.

Schema Matching and Mapping

Gunter Saake

Kai-Uwe Sattler

Das Buch vermittelt umfassende Grundlagen moderner Techniken des verteilten und parallelen Datenmanagements, die das Fundament moderner Informationssysteme bilden. Ausgehend von einer Betrachtung der Architekturvarianten, die sich aus verteilten sowie parallelen Hardwareinfrastrukturen ergeben, werden die Bereiche Datenverteilung, Anfrageverarbeitung sowie Konsistenzsicherung behandelt. Hierbei werden jeweils Verfahren und Techniken für klassische verteilte, parallele sowie moderne massiv-verteilte bzw. massiv-parallele Architekturen vorgestellt und hinsichtlich ihrer Eigenschaften diskutiert. Damit schlagen die Autoren die Brücke zwischen klassischen Verfahren und aktuellen Entwicklungen im Cloud- und Big Data-Umfeld.

Von verteilten Datenbanken zu Big Data und Cloud

Verteiltes und Paralleles Datenmanagement

Helena Galhardas

This book constitutes the refereed proceedings of the 10th International Conference on Data Integration in the Life Sciences, DILS 2014, held in Lisbon, Portugal, in July 2014. The 9 revised full papers and the 5 short papers included in this volume were carefully reviewed and selected from 20 submissions. The papers cover a range of important topics such as data integration platforms and applications; biodiversity data management; ontologies and visualization; linked data and query processing.

10th International Conference, DILS 2014, Lisbon, Portugal, July 17-18, 2014. Proceedings

Data Integration in the Life Sciences

Zohra Bellahsène

Rainer Unland

Akmal B. Chaudhri

Michael Rys

The Extensible Markup Language (XML) is playing an increasingly important role in the exchange of a wide variety of data on the Web and elsewhere. The database c- munity is interested in XML because it can be used to represent a variety of data f- mats originating in different kinds of data repositories while providing structure and the possibility to add type information. The theme of this symposium is the combination of database and XML te- nologies. Today, we see growing interest in using these technologies together for many Web-based and database-centric applications. XML is being used to publish data from database systems on the Web by providing input to content generators for Web pages, and database systems are increasingly being used to store and query XML data, often by handling queries issued over the Internet. As database systems incre- ingly start talking to each other over the Web, there is a fast-growing interest in using XML as the standard exchange format for distributed query processing. As a result, many relational database systems export data as XML documents, import data from XML documents, provide query and update capabilities for XML data. In addition, so-called native XML database and integration systems are appearing on the database market, and it’s claimed that they are especially tailored to store, maintain and easily access XML documents.

First International XML Database Symposium, XSYM 2003, Berlin, Germany, September 8, 2003, Proceedings

Database and XML Technologies

Erhard Rahm

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