Development of a Web-Based Strategic Management Expert System Using Knowledge Graphs

İlter İrdesel, Gurdal Ertek, Ahmet Demirelli, Lakshmi Kailas, Ahmet Lekesiz, Riaz Uddin Shuvo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we present the development of a Web-based expert system, StrategyAdvisor Cloud, to support strategic management decision-making. The system was developed using a multistage methodology that builds upon knowledge graphs, where knowledge acquisition and rule base construction by project members with different roles, capabilities, and skills can be facilitated through customized visual languages. The methodology systematizes knowledge acquisition and knowledge representation for each stage, coupled with algorithms for the transformation of knowledge graphs between successive stages. The developed expert system and the development process are described in detail in the paper and its supplement, to serve as guidance in the development of similar systems in future.

Original languageEnglish
Title of host publicationProceedings of 8th International Congress on Information and Communication Technology - ICICT 2023
EditorsXin-She Yang, R. Simon Sherratt, Nilanjan Dey, Amit Joshi
PublisherSpringer Science and Business Media Deutschland GmbH
Pages593-605
Number of pages13
ISBN (Print)9789819932429
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event8th International Congress on Information and Communication Technology, ICICT 2023 - London, United Kingdom
Duration: Feb 20 2023Feb 23 2023

Publication series

NameLecture Notes in Networks and Systems
Volume693 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference8th International Congress on Information and Communication Technology, ICICT 2023
Country/TerritoryUnited Kingdom
CityLondon
Period2/20/232/23/23

Keywords

  • Decision support systems
  • Expert systems
  • Knowledge graphs
  • Knowledge representation
  • Strategic management

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications

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