Kooperativer Bibliotheksverbund

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Format: XXIV, 210 S. : , Ill., graph. Darst.

ISBN: 1-55860-330-1

Series Statement: The Morgan Kaufmann series in data management systems

Language: English

Subjects: Computer Science , Economics

Keywords: Managementinformationssystem ; Migration

Author information: Stonebraker, Michael 1943-

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Format: XXI, 660 S.

Edition: 1.print.

ISBN: 0-387-96382-0 , 3-540-96382-0

Series Statement: Topics in information systems

Language: English

Subjects: Computer Science

Keywords: Expertensystem ; Datenbanksystem ; Expertensystem ; Künstliche Intelligenz ; Wissensbasiertes System ; Datenbanksystem ; Aufsatzsammlung ; Konferenzschrift ; Aufsatzsammlung ; Konferenzschrift ; Aufsatzsammlung ; Konferenzschrift

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Format: XI, 510 S.

ISBN: 0-387-90842-0 , 3-540-90842-0

Series Statement: Topics in information systems

Language: English

Subjects: Computer Science , Economics

Keywords: Künstliche Intelligenz ; Datenbank ; Programmiersprache ; Konzeptionelle Modellierung ; Computersimulation ; Datenbanksystem ; Organisation ; Modellierung ; Computer ; Konferenzschrift ; Konferenzschrift ; Konferenzschrift

URL: Cover

URL: Inhaltsverzeichnis

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Format: XI, 510 S. : , Ill.

Edition: 2. print.

ISBN: 0-387-90842-0 , 3-540-90842-0

Series Statement: Topics in information systems

Language: English

Subjects: Computer Science

Keywords: Computersimulation ; Programmiersprache ; Datenbanksystem ; Organisation ; Künstliche Intelligenz ; Konzeptionelle Modellierung ; Datenbank ; Modellierung ; Computer ; Konferenzschrift ; Konferenzschrift

URL: Cover

URL: Inhaltstext

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Format: X, 75 S.

Series Statement: Computer science & technology 59

Language: English

Keywords: Bericht ; Bibliografie

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Format: XXI, 660 S , graph. Darst , 25 cm

ISBN: 0387963820 , 3540963820

Series Statement: Topics in information systems

Note: Literaturverz. S. 591 - 643

Language: English

Subjects: Computer Science

Keywords: Expertensystem ; Datenbanksystem ; Expertensystem ; Datenbanksystem ; Expertensystem ; Datenbanksystem ; Expertensystem ; Künstliche Intelligenz ; Konferenzschrift ; Konferenzschrift ; Aufsatzsammlung

URL: Inhaltsverzeichnis

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Format: XVI, 620 p. , online resource.

Edition: 1st ed. 1983.

ISBN: 9783642688478

Content: After a long period of research, development, test and trial, relational database management systems are at last being marketed in force. The feedback from early installations of these systems is overwhelmingly positive. The most frequent comment by users is that productivity has been increased by a significant factor (from 5 to 20 times what it was using previous approaches). Another comment is that, in many cases, end users can now handle their own problems by direct use of the system instead of using application programmers as mediators between them and the system. As the reputation of relational systems for ease of use and enhanced productivity has grown, there has been a strong temptation for vendors of other approaches to exploit the label "relational" somewhat indiscriminately. In some cases the label is being misapplied to a whole data system; in others it is being misapplied to an interface. It is therefore worth developing criteria which database management systems (DBMSs) should have in order to be called "relational". The Relational Task Group (RTG) of the American National Standards Institute (ANSI) undertook such an effort by developing a characterization of RDBMSs and analyzing fourteen DBMSs per this characterization. The result of this work is presented in this book. The conclusions of the RTG are in agreement with my view that a DBMS should not be called "relational" unless it satisfies at least the following conditions: 1. All information in the database is represented as values in tables.

Note: 1. Introduction -- 2. Features of Relational Database Systems -- 2.1 Development of the Feature Catalogue -- 2.2 The Feature Catalogue -- 3. Analysis of Relational Database Management Systems -- 3.1 ASTRAL (University of Trondheim) -- 3.2 IDAMS (IBM Heidelberg) -- 3.3 IDM (Britton-Lee) -- 3.4 INGRES (University of California, Berkeley) -- 3.5 MRDS (Honeywell) -- 3.6 MRS (University of Toronto) -- 3.7 NOMAD (National CSS, Inc.) -- 3.8 ORACLE (Relational Software Incorporated) -- 3.9 PASCAL/R (University of Hamburg) -- 3.10 PRTV (IBM, United Kingdom) -- 3.11 QBE (IBM, Thomas J. Watson) -- 3.12 RAPID (Statistics Canada) -- 3.13 RAPPORT (LOGICA, United Kingdom) -- 3.14 SYSTEM R (IBM, San Jose) -- 4. Feature Summaries and Comparisons -- 4.1 Database Constituents -- 4.2 Functional Capabilities -- 4.3 Schema Definitions -- 4.4 Additional Definition, Generation and Administration Facilities -- 4.5 Functional Classes -- 4.6 Interface Flavours -- 4.7 System Architecture -- 4.8 Operational Aspects -- 5. References.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9783642688492

Additional Edition: Printed edition: ISBN 9783540120322

Additional Edition: Printed edition: ISBN 9783642688485

Language: English

DOI: 10.1007/978-3-642-68847-8

URL: https://doi.org/10.1007/978-3-642-68847-8

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Format: 1 PDF (xxxiv, 696 pages) : , illustrations.

Edition: First edition.

ISBN: 9781947487178

Series Statement: ACM books, #22

Content: The stories in this book recount significant events in the development of data management technology relative to Michael Stonebraker's achievements, over his career, for which he received the 2014 ACM A.M. Turing Award.

Note: Part I. 2014 ACM A.M. Turing award paper and lecture. The land sharks are on the squawk box / Michael Stonebraker -- , Part II. Mike Stonebraker's career -- 1. Make it happen: the life of Michael Stonebraker / Samuel Madden -- Mike Stonebraker's student genealogy chart -- The career of Mike Stonebraker: the chart -- , Part III. Mike Stonebraker speaks out: an interview with Marianne Winslett -- 2. Mike Stonebraker speaks out: an interview / Marianne Winslett , Part IV. The big picture -- 3. Leadership and advocacy / Philip A. Bernstein -- 4. Perspectives: The 2014 ACM Turing Award / James Hamilton -- 5. Birth of an industry; path to the Turing Award / Jerry Held -- 6. A perspective of Mike from a 50-year vantage point / David J. DeWitt -- , Part V. Startups -- 7. How to start a company in five (not so) easy steps / Michael Stonebraker -- 8. How to create and run a Stonebraker startup, the real story / Andy Palmer -- 9. Getting grownups in the room: a VC perspective / Jo Tango -- , Part VI. Database systems research -- 10. Where good ideas come from and how to exploit them / Michael Stonebraker -- 11. Where we have failed / Michael Stonebraker -- 12. Stonebraker and open source / Mike Olson -- 13. The relational database management systems genealogy / Felix Naumann -- , Part VII. Contributions by system -- 14. Research contributions of Mike Stonebraker: an overview / Samuel Madden -- , Part VII.A. Research contributions by system -- 15. The later Ingres years / Michael J. Carey -- 16. Looking back at Postgres / Joseph M. Hellerstein -- 17. Databases meet the stream processing era / Magdalena Balazinska, Stan Zdonik -- 18. C-Store: through the eyes of a Ph.D. student / Daniel J. Abadi -- 19. In-memory, horizontal, and transactional: the H-Store OLTP DBMS Project / Andy Pavlo -- 20. Scaling mountains: SciDB and scientific data management / Paul Brown -- 21. Data unification at scale: data tamer / Ihab Ilyas -- 22. The BigDAWG Polystore System / Tim Mattson, Jennie Rogers, Aaron J. Elmore -- 23. Data civilizer: end-to-end support for data discovery, integration, and cleaning / Mourad Ouzzani -- , Part VII.B. Contributions from building systems -- 24. The Commercial Ingres Codeline / Paul Butterworth, Fred Carter -- 25. The Postgres and Illustra codelines / Wei Hong -- 26. The Aurora/Borealis/ StreamBase Codelines: a tale of three systems / Nesime Tatbul -- 27. The Vertica Codeline / Shilpa Lawande -- 28. The VoltDB Codeline / John Hugg -- 29. The SciDB Codeline: crossing the chasm / Kriti Sen Sharma, Alex Poliakov, Jason Kinchen -- 30. The Tamr Codeline / Nikolaus Bates-Haus -- 31. The BigDAWG Codeline / Vijay Gadepally -- , Part VIII. Perspectives -- 32. IBM relational database code bases / James Hamilton -- 33. Aurum: a story about research taste / Raul Castro Fernandez -- 34. Nice: or what it was like to be Mike's student / Marti Hearst -- 35. Michael Stonebraker: competitor, collaborator, friend / Don Haderle -- 36. The changing of the database guard / Michael L. Brodie -- , Part IX. Seminal works of Michael Stonebraker and his collaborators -- OLTP through the looking glass, and what we found there / Stavros Harizopoulos, Daniel J. Abadi, Samuel Madden, Michael Stonebraker -- One size fits all: an idea whose time has come and gone / Michael Stonebraker, Ugur Cetintemel -- The end of an architectural era (it's time for a complete rewrite) / Michael Stonebraker, Samuel Madden, Daniel J. Abadi, Stavros Harizopoulos, Nabil Hachem, Pat Helland -- C-store: a column-oriented DBMS / Mike Stonebraker ... [et 13 al.] -- The implementation of POSTGRES / Michael Stonebraker, Lawrence A. Rowe, Michael Hirohama -- The Design and implementation of INGRES / Michael Stonebraker, ... [et 3 al.] -- , The collected works of Michael Stonebraker -- References -- Index -- Biographies. , Also available in print. , Mode of access: World Wide Web. , System requirements: Adobe Acrobat Reader.

Additional Edition: Print version: ISBN 9781947487192

Additional Edition: ISBN 9781947487161

Language: English

DOI: 10.1145/3226595

URL: Abstract with links to full text

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Format: XXI, 660 p. , online resource.

Edition: 1st ed. 1986.

ISBN: 9781461249801

Series Statement: Topics in Information Systems,

Content: Current experimental systems in industry, government, and the military take advantage of knowledge-based processing. For example, the Defense Advanced Research Projects Agency (DARPA), and the United States Geological Survey (USGS) are supporting the develop­ ment of information systems that contain diverse, vast, and growing repositories of data (e.g., vast databases storing geographic informa­ tion). These systems require powerful reasoning capabilities and pro­ cessing such as data processing, communications, and multidisciplinary of such systems will scientific analysis. The number and importance grow significantly in the near future. Many of these systems are severely limited by current knowledge base and database systems technology. Currently, knowledge-based system technology lacks the means to provide efficient and robust knowledge bases, while database system technology lacks knowledge representation and reasoning capabilities. The time has come to face the complex research problems that must be solved before we can design and implement real, large scale software systems that depend on knowledge-based processing. To date there has been little research directed at integrating knowledge base and database technologies. It is now imperative that such coordinated research be initiated and that it respond to the urgent need for a tech­ nology that will enable operational large-scale knowledge-based system applications.

Note: I: Knowledge Base Management Systems -- 1. On Knowledge Base Management Systems -- 2. The Knowledge Level of KBMS -- 3. Knowledge Level Interfaces to Information Systems -- 4. On Knowledge-Based Systems Architectures -- Discussion -- II: Knowledge Bases Versus Databases -- 5. A View Of Knowledge Representation -- 6. AI Knowledge Bases and Databases -- 7. Knowledge versus Data -- 8. Knowledge Bases versus Databases -- 9. Knowledge-Based and Database Systems: Enhancements, Coupling or Integration? -- Discussion -- III: Retrieval/Interface/Reasoning -- 10. Inference: A Somewhat Skewed Survey -- 11. Current Trends in Database Query Processing: A Survey -- 12. Logic and Database Systems -- 13. Negation in Knowledge Base Management Systems -- 14. An Approach to Processing Queries in a Logic-Based Query Language -- 15. Naive Evaluation of Recursively Defined Relations -- 16. Knowledge Base Retrieval -- Discussion -- IV: Extending Database Management Systems -- 17. Database Management: A Survey -- 18. Logic and Database Systems: A Survey -- 19. PROBE: A Knowledge-Oriented Database Management System -- 20. Learning Improved Integrity Constraints and Schemas From Exceptions in Databases and Knowledge Bases -- 21. Organizing a Design Database Across Time -- 22. Triggers and Inference in Database Systems -- 23. Extensible Database Systems -- Discussion -- V: Extending Knowledge-Based Systems -- 24. Knowledge-Based Systems: A Survey -- 25. Natural Language Processing: A Survey -- 26. Questions, Answers, and Responses: Interacting With Knowledge Base Systems -- 27. Learning in Knowledge Base Management Systems -- 28. The Role of Databases in Knowledge-Based Systems -- 29. An Integration of Knowledge and Data Representation -- Discussion -- VI: Knowledge-Based System Design Issues -- 30. Context Structures/Versioning: A Survey -- 31. Survey of Conceptual Modeling of Information Systems -- 32. A Requirements Modeling Language and Its Logic -- 33. Languages for Knowledge Bases -- 34. Control of Search and Knowledge Acquisition in Large-Scale KBMS -- Discussion -- VII: Advanced Hardware for Knowledge-Based Systems -- 35. New Computer Architectures: A Survey -- 36. The Role of Massive Memory in Knowledge Base Management Systems -- 37. Parallel Computers for AI Databases -- Discussion -- Epilogue -- 38. Concluding Remarks from the Artificial Intelligence Perspective -- 39. Concluding Remarks from the Database Perspective -- 40. Large-Scale Knowledge-Based Systems: Concluding Remarks and Technological Challenges -- Contributors' Addresses -- References.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9781461293835

Additional Edition: Printed edition: ISBN 9780387963822

Additional Edition: Printed edition: ISBN 9781461249818

Language: English

DOI: 10.1007/978-1-4612-4980-1

URL: https://doi.org/10.1007/978-1-4612-4980-1

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Format: 211 S.

ISBN: 0-89791-031-1

Series Statement: Sigplan Notices Vol. 16