Articoli correlati a Applications of Logic Databases: 296
Sinossi
The premise behind developing powerful declarative database languages is compelling: by enabling users to specify their queries (and their integrity constraints) in a clear, non-operational way, they make the user's task easier, and provide the database system with more opportunities for optimization. Relational database systems offer a striking proof that this premise is indeed valid. The most popular relational query language, SQL, is based upon relational algebra and calculus, i.e., a small fragment of first-order logic, and the ease of writing queries in SQL (in comparison to more navigational languages) has been an important factor in the commercial success of relational databases. It is well-known that SQL has some important limitations, in spite of its success and popUlarity. Notably, the query language is non-recursive, and support for integrity constraints is limited. Indeed, recognizing these problems, the latest standard, SQL-92, provides increased support for integrity constraints, and it is anticipated that the successor to the SQL-92 standard, called SQL3, RECURSIVE UNION operation [1]. Logic database systems have will include a concentrated on these extensions to the relational database paradigm, and some systems (e.g., Bull's DEL prototype) have even incorporated object-oriented features (another extension likely to appear in SQL3).
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Preface. 1. Applications of Deductive Object-Oriented Databases Using DEL; O.D. Friesen, G. Gauthier-Villars, L. Vieille. 2. Q-Data: Using Deductive Database Technology to Improve Data Quality; A. Sheth, C. Wood, V. Kashyap. 3. A Deductive Front-End for Relational Databases; B. Livezey, E. Simoudis. 4. An ADITI Implementation of a Flights Database; J. Harland, K. Ramamohanarao. 5. Using LDL++ for Spatio-Temporal Reasoning in Atmospheric Science Databases; R.R. Muntz, E. Shek, C. Zaniolo. 6. MIMSY: a System for Stock Market Analysis; W.G. Roth, R. Ramakrishnan, P. Seshadri. 7. Efficient Evaluation of Visual Queries Using Deductive Databases; D. Vista, P.T. Wood. 8. Demand Interprocedural Program Analysis Using Logic Databases; T.W. Reps. 9. AMOS: a Natural Language Parser Implemented as a Deductive Database in LOLA; G. Specht, B. Freitag. 10. Programming the PTQ Grammar in XSB; D.S. Warren. 11. Querying with Generalized Quantifiers; A. Badia, D. Van Gucht, M. Gyssens. 12. Requirements for a Deductive Query Language in a Genome-Mapping Database; N. Goodman, S. Rozen, L. Stein. Index.
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Kluwer Academic Publishers, Dordrecht, 1994
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Hardcover. Condizione: new. Hardcover. The development of a methodology for using logic databases is essential if new users are to be able to use these systems effectively to solve their problems, and this remains a largely unrealized goal. A workshop was organized in conjunction with the ILPS '93 Conference in Vancouver in October 1993 to provide a forum for users and implementors of deductive systems to share their experience. The emphasis was on the use of deductive systems. In addition to paper presentations, a number of systems were demonstrated. The papers of this book were drawn largely from the papers presented at the workshop, which have been extended and revised for inclusion here, and also include some papers describing interesting applications that were not discussed at the workshop. The applications described here should be seen as a starting point: a number of promising application domains are identified, and several interesting application packages are described, which should provide the inspiration for further development.Declarative rule-based database systems hold a lot of promise in a wide range of application domains, and we need a continued stream of application development to better understand this potential and how to use it effectively. This book contains a broad collection to date of papers describing implemented, significant applications of logic databases, and database systems as well as potential database users in such areas as scientific data management and complex decision support. The premise behind developing powerful declarative database languages is compelling: by enabling users to specify their queries (and their integrity constraints) in a clear, non-operational way, they make the user's task easier, and provide the database system with more opportunities for optimization. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9780792395331
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The premise behind developing powerful declarative database languages is compelling: by enabling users to specify their queries (and their integrity constraints) in a clear, non-operational way, they make the user s task easier, and provide the database sys. Codice articolo 5971567
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