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Fixpoint iteration with subsumption in deductive databases

Gerhard K�stler, Werner Kiessling, Helmut Th�ne, Ulrich G�ntzer
1995 Journal of Intelligent Information Systems  
Fixpoint Iteration with Subsumption in Deductive Databases B C D E F G E H I P Q R S T D E G U H V D E U D E I W D R R T W U C X ¡ © ¦ £ X ¦ ¤ Y ¢ ¤ ` ¥ ¢ 5 ¢ £ 8 3 a b c d e f g c h i p g d q r i s d  ... 
doi:10.1007/bf00961871 fatcat:hibngiudl5eofgvoyyovamd4py

Optimizing existential queries in stratifiable deductive databases

Andreas Behrend
2005 Proceedings of the 2005 ACM symposium on Applied computing - SAC '05  
We reconsider query evaluation in stratifiable deductive databases using Magic Sets.  ...  To this end, the query answering process is optimized in such a way that after the generation of one appropriate answer fact with respect to a (derived) existential query, the redundant computations of  ...  . , |ad1|}.Definition 9 (Subsumption Rules). Let R be a stratifiable deductive rule set, and ms(R Q ) the magic rules with respect to a query Q.  ... 
doi:10.1145/1066677.1066821 dblp:conf/sac/Behrend05 fatcat:khx7alipjbcqvdvteuhpllikkm

A Uniform Fixpoint Approach to the Implementation of Inference Methods for Deductive Databases [article]

Andreas Behrend
2011 arXiv   pre-print
Within the research area of deductive databases three different database tasks have been deeply investigated: query evaluation, update propagation and view updating.  ...  In this paper, we present such a uniform approach in form of a new version of the soft consequence operator.  ...  In [17] it has been shown that the perfect model of a stratifiable database D is identical with the iterated fixpoint model M i D of D.  ... 
arXiv:1108.5451v1 fatcat:cyy6y7bk2nfhbg2pmkkoibvl4m

Tabling with Support for Relational Features in a Deductive Database

Fernando Sáenz-Pérez
2013 Electronic Communications of the EASST  
In this paper, we show how unusual operations in deductive systems can be integrated with tabling.  ...  As well, deductive database implementations benefit from this technique for implementing query solving engines.  ...  So, first store the new call in CT and then, return all previous answers in ET (from a previous fixpoint iteration).  ... 
doi:10.14279/tuj.eceasst.55.819 dblp:journals/eceasst/Saenz-Perez12 fatcat:hsbef7lcznc2lblbzxaieol744

Model generation and state generation for disjunctive logic programs

Dietmar Seipel, Jack Minker, Carolina Ruiz
1997 The Journal of Logic Programming  
On each stratum of the program, this operator converges in at most to iterations.  ...  I> This paper investigates two fixpoint approaches for minimal model reasoning with disjunctive logic programs 9.  ...  database is finite, the operator 5r~ M reaches its least fixpoint in a finite number of iterations.  ... 
doi:10.1016/s0743-1066(96)00116-1 fatcat:qbcujabpubat7nrr64baywkdvi

Towards a New Step of Logic Paradigm [chapter]

Kazuhiro FUCHI
1990 Deductive and Object-Oriented Databases  
In other words, we apply fixpoint theory to databases with another operator than the classical immediate consequence operator of van Emden and Kowalski.  ...  Deductive and Object-Oriented Databases W. Kim, J.-M. Nicolas, and S.  ...  The least fixpoint of Τ on a function-free Horn database DB can be constructed by iteratively computing the sets TT n (DB) for increasing n.  ... 
doi:10.1016/b978-0-444-88433-6.50008-3 fatcat:jgqxvfczlvgargtfqxaz6engrm

Evaluation of the Implementation of an Abstract Interpretation Algorithm using Tabled CLP

2019 Theory and Practice of Logic Programming  
Our implementation is based on the TCLP framework available in Ciao Prolog and is one-third the size of the initial fixpoint implementation in CiaoPP.  ...  In this adaptation, the tabling engine drives the fixpoint computation, while the constraint solver handles the LUB of the abstract substitutions of different clauses.  ...  Tabling has been successfully applied in a variety of contexts, including deductive databases, program analysis, semantic Web reasoning, and model checking.  ... 
doi:10.1017/s1471068419000383 fatcat:yikav2352zg6jjxasnhnwor7j4

DECLARE and SDS: Early efforts to commercialize deductive database technology

Werner Kle�ling, Helmut Schmidt, Werner Strau�, Gerhard D�nzinger
1994 The VLDB journal  
SDS offers the functionality of deductive reasoning in a distributed, heterogeneous database environment.  ...  We argue that heuristic knowledge and control should be made an integral part of deductive databases.  ...  In particular we would like to thank the former members of the DECLARE team in Munich: Riidiger Azone, Olaf Biernath, Maria Friedrich, Lothar Kappen, Franz Kronseder, Eva Krfiger, Benedikt Nuiding, Elisabeth  ... 
doi:10.1007/bf01228881 fatcat:7atpx6qz6fhjdlmktuvdxubupm

Abstract interpretation: A kind of magic

Ulf Nilsson
1995 Theoretical Computer Science  
Magic sets and, more recently, magic templates have been used in the field of deductive databases to facilitate efficient bottom-up evaluation of database queries.  ...  In this paper we give a new and very simple proof that this approach is equivalent to the collecting interpretation of the abstract interpretation framework for logic programs of Mellish.  ...  It is likely that such methods can be combined with evaluation techniques in the deductive database field such as semi-naive evaluation.  ... 
doi:10.1016/0304-3975(94)00223-6 fatcat:jiwsdsoab5g5biqwbx3h4q3thy

Logic and Databases: Past, Present, and Future

Jack Minker
1997 The AI Magazine  
I review developments in the field, assess contributions, consider the status of implementations of deductive databases, and discuss future work needed in deductive databases. Articles  ...  Gallaire, Minker, and Nicolas stated that logic and databases was a field in its own right. This was the first time that this designation was made.  ...  The full paper is dedicated in honor of Hervé Gallaire and Jean-Marie Nicolas with whom I have worked as co-author, co-editor, colleague, and friend and who have helped to make the field of deductive databases  ... 
doi:10.1609/aimag.v18i3.1304 dblp:journals/aim/Minker97 fatcat:6foa4j2a45cabojbsyxj7rwpfq

Well-founded ordered search: Goal-directed bottom-up evaluation of well-founded models

Peter J. Stuckey, S. Sudarshan
1997 The Journal of Logic Programming  
In this paper, we extend Ordered Search to compute the well-founded semantics for all (nonfloundering) programs with negation.  ...  1> There have been several evaluation mechanisms proposed for computing query answers based on the well-founded semantics, for programs with negation.  ...  Iterative Fixpoint Evaluation The fundamental step in iterative fixpoint evaluation is a derivation.  ... 
doi:10.1016/s0743-1066(96)00110-0 fatcat:2ueyuol7kzakzmrgf2dcqtvpna

Logic programming approach to automata-based decision procedures

Gulay Unel, David Toman
2017 Journal of Logical and Algebraic Methods in Programming  
We propose a novel technique that maps decision problems in WS1S (weak monadic second-order logic with n successors) to the problem of query evaluation of Complex-value Datalog queries.  ...  We then show how the use of advanced implementation techniques for Logic Programs, in particular the use of tabling in the XSB system, yields a considerable improvement in performance over more traditional  ...  The type restrictions guarantee that the fixpoint iteration terminates after finitely many steps.  ... 
doi:10.1016/j.jlamp.2016.02.005 fatcat:7hdawowlbrbrvg6rrvthtth6ay

Rule ordering in bottom-up fixpoint evaluation of logic programs

R. Ramakrishnan, D. Srivastava, S. Sudarshan
1994 IEEE Transactions on Knowledge and Data Engineering  
Logic programs can be evaluated bottom-up by repeatedly applying all rules, in "iterations", until the fixpoint is reached.  ...  However, it is often desirable-and in some cases, e.g. programs with stratified negation, even necessary to guarantee the semantics-to apply the rules in some order.  ...  Introduction Bottom-up evaluation of logic programs is an important issue in deductive database applications.  ... 
doi:10.1109/69.298169 fatcat:7rsxrfj24vfrrnfr3lk7fuvruq

Inprocessing Rules [chapter]

Matti Järvisalo, Marijn J. H. Heule, Armin Biere
2012 Lecture Notes in Computer Science  
Such inprocessing SAT solvers witness the fact that implementing additional deduction rules in CDCL solvers leverages the efficiency of state-of-the-art SAT solving further.  ...  In this paper we establish formal underpinnings of inprocessing SAT solving via an abstract inprocessing framework that covers a wide range of modern SAT solving techniques.  ...  S (subsumption) C is subsumed in F . HS (hidden subsumption) HLA(F, C) is subsumed in F . AS (asymmetric subsumption) ALA(F, C) is subsumed in F . T (tautology) C is a tautology.  ... 
doi:10.1007/978-3-642-31365-3_28 fatcat:xwdkffjoxzgbfae42h64rfrkzm

Algebraic optimization of recursive queries

Maurice A.W. Houtsma, Peter M.G. Apers
1992 Data & Knowledge Engineering  
In the PRISMA project we have developed a tightly-coupled distributed database, on a multiprocessor machine, with two user interfaces: SQL and PRISMAIog.  ...  Over the past few years, much attention has been paid to deductive databases. They offer a logic-based interface, and allow formulation of complex recursive queries.  ...  Deductive databases In deductive databases there are two main optimization strategies for recursive programs.  ... 
doi:10.1016/0169-023x(92)90029-b fatcat:tcydmhdf6zcgri3ty3dmhgmd5i
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