ACM Home Page
Please provide us with feedback. Feedback
Digital Library logoTake a look at the new version of this page: [ beta version ]. Tell us what you think.
A problem-oriented inferential database system
Full text PdfPdf (1.74 MB)
Source ACM Transactions on Database Systems (TODS) archive
Volume 11 ,  Issue 3  (September 1986) table of contents
Pages: 323 - 356  
Year of Publication: 1986
ISSN:0362-5915
Author
Eliezer L. Lozinskii  The Hebrew Univ. of Jerusalem
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 2,   Downloads (12 Months): 23,   Citation Count: 8
Additional Information:

abstract   references   cited by   index terms   review   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/6314.6419
What is a DOI?

ABSTRACT

Recently developed inferential database systems face some common problems: a very fast growth of search space and difficulties in recognizing inference termination (especially for recursive axioms). These shortcomings stem mainly from the fact that the inference process is usually separated from database operations. A problem-oriented inferential system i8 described which refers to the database prior to query (or subquery) processing, so that the inference from the very beginning is directed by data relevant to the query. A multiprocessor implementation of the system is presented based on a computer network conforming to database relations and axioms. The system provides an efficient indication of query termination, and is complete in the sense that it produces all correct answers to a query in a finite time.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

1
 
2
 
3
CHANG, C.-L. DEDUCE--a deductive query language for relational data bases. In Artificial Intelligence and Pattern Recognition, C. G. Chen, Ed., Academic Press, New York, 1976, 108-134.
 
4
CHANa, C.-L. DEDUCE 2: Further investigations of deduction in relational data bases. In Logic and Data Bases, H. Gatlaire and J. Minker, Eds., Plenum Press, New York, 1978, 201-236.
 
5
CHANG, C.-L. On evaluation of queries containing derived relations in a relational data base. In Advances in Data Base Theory, vol. 1, H. Gallaire, J. Minker, and J.-M. Nicolas, Eds., 1981, 235-260.
 
6
CLARK, K.L. Negation as failure. In Logic and Data Bases, H. Gallaire and J. Minker, Eds., Plenum Press, New York, 1978, 77-106.
7
8
 
9
FISt}MAN, D. H. A problem-oriented search procedure for theorem proving. IEEE Trans. Comput. C-25, 8 {Aug. 1976), 807-815.
 
10
GALLAIRE, H., MINKER, J., AND NICOLAS, J.M. An overview and introduction to logic and data bases. In Logic and Data Bases, H. Gallaire and J. Minker, Eds., Plenum Press, New York, 1978, 3-32.
11
 
12
HENSCHEN, L. J., AND NAQVI, S.A. On compiling queries in recursive first-order databases. In Proceedings of the Workshop on Logical Bases for Data Bases (Toulouse, 1982), J.-M. Nicolas, Ed.
13
14
 
15
HORN, A. On sentences which are true of direct unions of algebras. J. Symb. Logic I6 (1951), 14-21.
 
16
HSlAO, D. K. Data base computers. In Advances in Computers I9, M. C. Yovits, Ed., 1980, 1-64.
 
17
KELLOGG, C., KLAHR, P., AND TRAVIS, L. Deductive planning and pathfinding for relational data bases. In Logic and Data Bases, H. Gallaire and J. Minker, Eds., Plenum Press, New York, 1978, 179-200.
 
18
KLAHR, P. Planning techniques for rule selection in deductive question-answering. In Pattern- Directed Inference Systems, D. A. Waterman and F. Hayes-Roth, Eds., Academic Press, New York, 1978, 223-240.
 
19
KOWALSKI, R. And-or graphs, theorem-proving graphs and bi-directional search. In Machine Intelligence 7, B. Meltzer and D. Michie, Eds., Edinburgh University Press, 1973, 167-194.
20
 
21
KOWALSK~, R. Logic for data description. In Logic and Data Bases, H. Gallaire and J. Minker, Eds., Plenum Press, New York, 1978, 77-106.
 
22
McKAv, D. P., AND SHAPmO, S.C. Using active connection graphs for reasoning with recursive rules. In Proceedings of the 7th International Joint Conference on Artificial Intelligence (Vancouver, 1981), 368-374.
23
24
 
25
MtNKER, J. An experimental relational data base system based on logic. In Logic and Data Bases, H. Gallaire and J. Minker, Eds., Plenum Press, New York, 1978, 107-148.
 
26
MINKER, J., AND NICOLAS, J.-M. On recursive axioms in deductive databases. In/. Syst. 8, 1 (1983), 1-13.
 
27
NAQvI, S. A., AND HENSCHEN, L.J. Performing inferences over recursive databases. In Proceedings 1st Annual National Conference on Artificial Intelligence (Stanford, 1980), 263-265.
 
28
NICOLAS, J.-M., AND GALLAIRE, H. Data base: Theory vs. interpretation. In Log& and Data Bases, H. Gallaire and J. Minker, Eds., Plenum Press, New York, 1978, 33-54.
 
29
NICOLAS, J.-M., AND YAZDANIAN, K. Integrity checking in deductive data bases. In Log/c and Data Bases, H. Gallaire and J. Minker, Eds., Plenum Press, New York, 1978, 325-346.
 
30
 
31
POHL, I. Bi-directional search. In Machine Intelligence 6, B. Meltzer and D. Michie, Eds., Edinburgh University Press, 1971, 127-140.
 
32
PRAMANIK, S. B. Highly parallel associative search and its application to cellular database machine design. In Proceedings AFIPS National Computer Conference (1981), vol. 50, 521-528.
 
33
RELIER, R. On structuring a first-order data base. In Proceedings 2nd National Conference of the Canadian Society on Computational Studies of Intelligence (Toronto, 1978), R. Perrault, Ed., 90-99.
 
34
REITER, R. On closed-world data bases. In Logic and Data Bases, H. Gallaire and J. Minker, Eds., Plenum Press, New York, 1978, 55-76.
 
35
REITER, R. Deductive question-answering on relational data bases. In Logic and Data Bases, H. Gallaire and J. Minker, Eds., Plenum Press, New York, 1978, 149-177.
 
36
SHAPIRO, S. C., AND McKAY, D.P. Inference with recursive rules. In Proceedings 1st Annual National Conference on Artificial Intelligence (Stanford, i980), 151-153.
 
37
 
38
39
40



REVIEW

"Krishnarao Gururao Kulkarni : Reviewer"

The subject of combining relational database technology with logic programming has been receiving attention for quite some time now. In particular, there is a substantial interest in solving the problem of efficiently evaluating database queries  more...

Collaborative Colleagues:
Eliezer L. Lozinskii: colleagues