Data warehouses have captured the attention of practitioners and researchers alike. But the design and optimization of data warehouses remains an art rather than a science. This book presents the first comparative review of the state of the art and best current practice of data warehouses. It covers source and data integration, multidimensional aggregation, query optimization, update propagation, metadata management, quality assessment, and design optimization. Also, based on results of the European Data Warehouse Quality project, it offers a conceptual framework by which the architecture and quality of data warehouse efforts can be assessed and improved using enriched metadata management combined with advanced techniques from databases, business modeling, and artificial intelligence. For researchers and database professionals in academia and industry, the book offers an excellent introduction to the issues of quality and metadata usage in the context of data warehouses.

Schmidt and Bannon (1992) introduced the concept of common information space by contrasting it with technical conceptions of shared information: Cooperative work is not facilitated simply by the provisioning of a shared database, but rather requires the active construction by the participants of a common information space where the meanings of the shared objects are debated and resolved, at least locally and temporarily. (Schmidt and Bannon, p. 22) A CIS, then, encompasses not only the information but also the practices by which actors establish its meaning for their collective work. These negotiated understandings of the information are as important as the availability of the information itself: The actors must attempt to jointly construct a common information space which goes beyond their individual personal information spaces. . . . The common information space is negotiated and established by the actors involved. (Schmidt and Bannon, p. 28) This is not to suggest that actors' understandings of the information are identical; they are simply "common" enough to coordinate the work. People understand how the information is relevant for their own work. Therefore, individuals engaged in different activities will have different perspectives on the same information. The work of maintaining the common information space is the work that it takes to balance and accommodate these different perspectives. A "bug" report in software development is a simple example. Software developers and quality assurance personnel have access to the same bug report information. However, access to information is not sufficient to coordinate their work.

This book constitutes the refereed post-conference proceedings of the 11th International Conference on Smart Cities and Green ICT Systems and 8th International Conference on Vehicle Technology and Intelligent Transport Systems, SMARTGREENS 2022 and VEHITS 2022 was held Virtually on April 27–29, 2022. The 7 full papers included in this book were carefully reviewed and selected from 80 submissions. They were organized in topical sections as follows:​smart cities and green ICT systems and vehicle technology and intelligent transport systems.

This book constitutes the proceedings of 26th International Conference on Advanced Information Systems Engineering, CAiSE 2014, held in Thessaloniki, Greece in June 2014. The 41 papers and 3 keynotes presented were carefully reviewed and selected from 226 submissions. The accepted papers were presented in 13 sessions: clouds and services; requirements; product lines; requirements elicitation; processes; risk and security; process models; data mining and streaming; process mining; models; mining event logs; databases; software engineering.

Information systems are large repositories of factual and inferential knowledge intended to be queried and maintained by a wide variety of users with different backgrounds and work tasks. The community of potential information system users is growing rapidly with advances in hardware and software technology that permit computer/communications support for more and more application areas. Unfortunately, it is often felt that progress in user interface technology has not quite matched that of other areas. Technical solutions such as computer graphics, natural language processing, or man-machine-man communications in office systems are not enough by themselves. They should be complemented by system features that ensure cooperative behavior of the interfaces, thus reducing the training and usage effort required for successful interaction. In analogy to a human dialog partner, we call an interface cooperative if it does not just accept user requests passively or answer them literally, but actively attempts to understand the users' intentions and to help them solve their applica tion problems. This leads to the central question addressed by this book: What makes an information systems interface cooperative, and how do we provide capabilities leading to cooperative interfaces? Many answers are possible. A first aspect concerns the formulation and accep tance of user requests. Many researchers assume that such requests should be formulated in natural language."

This book constitutes the refereed proceedings of the 25th Annual German conference on Artificial Intelligence, KI 2002, held in Aachen, Germany in September 2002.The 20 revised full papers presented were carefully reviewed and selected from 58 submissions. The book offers topical sections on natural language processing; machine learning; knowledge representation, semantic web, and AI; neural networks; logic programming, theorem proving, and model checking; and vision and spatial reasoning.

This book constitutes the refereed proceedings of the 8th International Conference on Extending Database Technology, EDBT 2002, held in Prague, Czech Republic, in March 2002.The 36 revised full papers presented together with six industrial and application papers, 13 software demos and one invited paper were carefully reviewed and selected from a total of 207 submissions. The papers are organized in topical sections on query transformation, data mining, XML, advanced query processing, moving objects, distributed data, distributed processing, advanced querying, XML-advanced querying, fundamental query services, estimation/histograms, and aggregation.

Schmidt and Bannon (1992) introduced the concept of common information space by contrasting it with technical conceptions of shared information: Cooperative work is not facilitated simply by the provisioning of a shared database, but rather requires the active construction by the participants of a common information space where the meanings of the shared objects are debated and resolved, at least locally and temporarily. (Schmidt and Bannon, p. 22) A CIS, then, encompasses not only the information but also the practices by which actors establish its meaning for their collective work. These negotiated understandings of the information are as important as the availability of the information itself: The actors must attempt to jointly construct a common information space which goes beyond their individual personal information spaces. . . . The common information space is negotiated and established by the actors involved. (Schmidt and Bannon, p. 28) This is not to suggest that actors' understandings of the information are identical; they are simply "common" enough to coordinate the work. People understand how the information is relevant for their own work. Therefore, individuals engaged in different activities will have different perspectives on the same information. The work of maintaining the common information space is the work that it takes to balance and accommodate these different perspectives. A "bug" report in software development is a simple example. Software developers and quality assurance personnel have access to the same bug report information. However, access to information is not sufficient to coordinate their work.

CAiSE*99 is the 11th in the series of International Conferences on Advanced Information Systems Engineering. The aim of the CAiSE series is to give - searchers and professionals from universities, research, industry, and public - ministrationthe opportunityto meetannuallytodiscussevolvingresearchissues and applications in the el d of information systems engineering; also to assist young researchersand doctoralstudents in establishing relationships with senior scientists in their areas of interest. StartingfromaScandinavianorigininthelate1980 s, CAiSEhasevolvedinto atrulyinternationalconferencewithaworldwideauthorandattendancelist.The CAiSE*99 programlisted contributions from 19 countries, from four continents These contributions, 27 full papers, 12 short research papers, six workshops, and four tutorials, were carefully selected from a total of 168 submissions by the international program committee. A special theme of CAiSE*99 was Component-based information systems engineering . Component-based approaches mark the maturity of any engine- ing discipline. However, transferingthis idea to the complex anddiverse worldof information systems has proven more di cult than expected. Despite numerous proposals from object-oriented programming, design patterns and frameworks, customizable reference models and standard software, requirements engine- ing and business re-engineering, web-based systems, data reduction strategies, knowledge management, and modularized education, the question of how to make component-oriented approaches actually work in information systems - mains wide open."

The fourth international conference on Extending Data Base Technology was held in Cambridge, UK, in March 1994. The biannual EDBT has established itself as the premier European database conference. It provides an international forum for the presentation of new extensions to database technology through research, development, and application. This volume contains the scientific papers of the conference. Following invited papers by C.M. Stone and A. Herbert, it contains 31 papers grouped into sections on object views, intelligent user interface, distributed information servers, transaction management, information systems design and evolution, semantics of extended data models, accessing new media, join algorithms, query optimization, and multimedia databases.

In the early 1980s, a trend towards formal undeIStanding and knowledge-based assistance for the development and maintenance of database-intensive information systems became apparent. The group of John Mylopoulos at the UniveISity of Toronto and their European collaboratoIS moved from semantic models of information systems design (Taxis project) towards earlier stages of the software lifecycle. Joachim Schmidt's group at the University of Hamburg completed their early work on the design and implementation of database programming languages (Pascal/R) and began to consider tools for the development of large database program packages. The Belgian company BIM developed a fast commercial Prolog which turned out to be useful as an implementation language for object oriented knowledge representation schemes and as a prototyping tool for formal design models. Case studies by Vasant Dhar and Matthias Jarke in New York pointed out the need for formally representing process knowledge, and a number of projects in the US and Europe began to consider computer assistance (CASE) as a viable approach to support software engineering. In 1985, the time appeared ripe for an attempt at integrating these experiences in a comprehensive CASE framework relating all phases of an information systems lifecycle. The Commission of the European Communities decided in early 1986 to fund this joint effort by six European software houses and research institutions in the Software Technology section of the ESPRIT I program. The project was given the number 892 and the title DAIDA - Development Assistance for Intelligent Database Applications."

This book includes extended and revised selected papers from the 10th International Conference on Smart Cities and Green ICT Systems, SMARTGREENS 2021, and 7th International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS 2021, held as virtual event, in April 28-30, 2021. The conference was held virtually due to the COVID-19 crisis. The 22 full papers included in this book were carefully reviewed and selected from 140 submissions. The papers present research on advances and applications in the fields of smart cities, electric vehicles, sustainable computing and communications, energy aware systems and technologies, intelligent vehicle technologies, intelligent transport systems and infrastructure, connected vehicles.

This book constitutes the refereed proceedings of the 32nd International Conference on Conceptual Modeling, ER 2014, held in Atlanta, GA, USA. The 23 full and 15 short papers presented were carefully reviewed and selected from 80 submissions. Topics of interest presented and discussed in the conference span the entire spectrum of conceptual modeling including research and practice in areas such as: data on the web, unstructured data, uncertain and incomplete data, big data, graphs and networks, privacy and safety, database design, new modeling languages and applications, software concepts and strategies, patterns and narratives, data management for enterprise architecture, city and urban applications.

Data warehouses have captured the attention of practitioners and researchers alike. But the design and optimization of data warehouses remains an art rather than a science. This book presents the first comparative review of the state of the art and best current practice of data warehouses. It covers source and data integration, multidimensional aggregation, query optimization, update propagation, metadata management, quality assessment, and design optimization. Also, based on results of the European Data Warehouse Quality project, it offers a conceptual framework by which the architecture and quality of data warehouse efforts can be assessed and improved using enriched metadata management combined with advanced techniques from databases, business modeling, and artificial intelligence. For researchers and database professionals in academia and industry, the book offers an excellent introduction to the issues of quality and metadata usage in the context of data warehouses.

Der Band enthalt die Tagungsbeitrage zur 27. Jahrestagung der Gesellschaft fur Informatik 1997. Schwerpunkte der Darstellung sind zentrale Forschungsergebnisse aus Hochschulen, Grossforschungseinrichtungen und Industrie, wichtige Trends aus Hersteller- und Anwendersicht, Kooperation zwischen Schule, Hochschule und Praxis sowie Resultate, Chancen und Probleme europaischer Informatikprojekte.

In diesem Band werden zentrale Themen und neuere Entwicklungstendenzen auf dem Gebiet des Operations Research (OR) behandelt. Gegenstand sind die Vortr{ge, die anl{ lich der 21. Jahrestagung der Deutschen Gesellschaft f}r Operations Research (DGOR) und der \sterreichischen Gesellschaft f}rOperations Research (\GOR) in der Zeit vom 9.bis 11. September 1992 an der RWTH Aachen gehalten wurden. Der Proceedingsband erm-glicht dem Leser einen Einblick in die neuesten Forschungsergebnisse auf dem Gebiet des Operations Research. Neben den prim{r methodischen Fragestellungen bilden die praxisorientierten Themen, wie z.B. Anwendungsberichte aus der Praxis und der Bereich Produktionsplanung und -steuerung, einen Schwerpunkt in diesem Buch.