Bayer, R.: Database Technology for Expert Systems, in: Proc. GI-Conference on Knowledge-Based Systems, Informatik-Fachbereichte 112, Springer-Verlag, Munich, Oct. 1985, pp. 1-16. Home/Search Document Not in Database Summary Related Articles Check |
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Transitive Closure and the LOGA+-Strategy for its Efficient.. - Yan (Correct)
....with a number of proposed strategies, in order to provide us with a quantitative estimate for the performance of LOGA relative to the others. For this comparison, we have chosen the following strategies: Naive Evaluation (ne) Ba86] Semi Naive Evaluation (sne) Ba86] Delta Transformation (dt) [Ba85], Recursive Query Subquery (rqsq) Vi86] Static Filtering (sf) KL86, BR86] Generalized Magic Sets (gms) BMSU86, BR88b] Generalized Counting (gc) SZ87, BR88b] Generalized Supplementary Magic Sets (gmsc) BR88b] and Generalized Supplementary Counting (gsc) BR88b] Notice that some of the ....
Bayer, R.: Database Technology for Expert Systems, in: Proc. GI-Conference on Knowledge-Based Systems, Informatik-Fachbereichte 112, Springer-Verlag, Munich, Oct. 1985, pp. 1-16.
Report of the Logic Programming Language PROTOS-L - Beierle, Böttcher, Meyer (1994) (Correct)
....feature of deductive databases is the ability to cope with recursively defined predicates. There are many algorithms and ideas how to evaluate rules on a DBMS ranging from top down Prolog like evaluation over variations of the Magic Set approach [Bancilhon et al. 1986] to pure bottom up methods [Bayer, 1985, Bancilhon, 1986] Bancilhon and Ramakrishnan, 1986] gives a good overview. The DBI in PROTOS L uses a mixed top down and bottom up strategy, combining ideas from [Vieille, 1988] and [Hulin, 1989] For a more complete overview on combining logic programming systems with databases see [Ceri et ....
Rudolf Bayer. Database Technology for Expert Systems. In GI-Kongress: Wissensbasierte Systeme, Munchen, 1985. Inf. FB 112, Springer.
CL/TB -- An Allegro Common Lisp Programming.. - J. Kempe, T. Lenz, .. (Correct)
....and performance data are presented and its application is illustrated by examples. 1 1 Introduction Lisp is a programming language suitable for constructing expert or knowledge based systems. An obvious requirement of such systems is to deal efficiently with large amounts of data [Bay 85] which is the domain of database systems. Coupling Lisp with a database system seems to be a good approach to achieve efficient access to large volumes of data and to save main memory space. Since Lisp is well suited for prototyping, interfacing Lisp to a database system would expand the range ....
Bayer R.: Database Technology for Expert Systems, in: Informatik-Fachberichte 112: Wissensbasierte Systeme, Springer Verlag, Berlin Heidelberg, 1985
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