loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Barbara Baster and Andrzej Macioł

Affiliation: Faculty of Management, AGH University of Science and Technology, Poland

Keyword(s): Business Rules Management Systems, Technology, Rule-based Systems, Inference Efficiency, Databases.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Computational Intelligence ; Enterprise Information Systems ; Evolutionary Computing ; Expert Systems ; Health Information Systems ; Knowledge Acquisition ; Knowledge Discovery and Information Retrieval ; Knowledge Engineering and Ontology Development ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Machine Learning ; Soft Computing ; Symbolic Systems

Abstract: In the following paper we present the results of our works related to development of rule engine for automated interpretation of business rules. Our experiences and experimental results show that knowledge description for this purpose may be stored in the form of relational databases. The aim of the experimental research presented in this paper was to determine degree in which organization of knowledge base and assumed inference strategy influence the efficiency of inference process itself. Experiments proved that owing to the application of mechanism characteristic for relational data bases, knowledge base can be easily arranged so as to maximize efficiency of inference. The efficiency of inference is strongly influenced by preliminary knowledge transformation from the set of examples or random rules into arranged form.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.218.168.16

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Baster, B. and Macioł, A. (2010). THE INFERENCE EFFICIENCY PROBLEM IN BUSINESS AND TECHNOLOGICAL RULES MANAGEMENT SYSTEMS. In Proceedings of the 5th International Conference on Software and Data Technologies - Volume 1: ICSOFT; ISBN 978-989-8425-22-5; ISSN 2184-2833, SciTePress, pages 10-15. DOI: 10.5220/0002931600100015

@conference{icsoft10,
author={Barbara Baster. and Andrzej Macioł.},
title={THE INFERENCE EFFICIENCY PROBLEM IN BUSINESS AND TECHNOLOGICAL RULES MANAGEMENT SYSTEMS},
booktitle={Proceedings of the 5th International Conference on Software and Data Technologies - Volume 1: ICSOFT},
year={2010},
pages={10-15},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002931600100015},
isbn={978-989-8425-22-5},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Software and Data Technologies - Volume 1: ICSOFT
TI - THE INFERENCE EFFICIENCY PROBLEM IN BUSINESS AND TECHNOLOGICAL RULES MANAGEMENT SYSTEMS
SN - 978-989-8425-22-5
IS - 2184-2833
AU - Baster, B.
AU - Macioł, A.
PY - 2010
SP - 10
EP - 15
DO - 10.5220/0002931600100015
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic