Title: Semantic technology and linguistic modelling in business strategy design and evaluation

Authors: Jozef Stašák; Peter Schmidt

Addresses: Faculty of Humanities, University of Žilina, Univerzitná 8215/1-010-26, Žilina, Slovak Republic ' Faculty of Business Informatics, University of Economy, Dolnozemská 1, Bratislava, Slovak Republic

Abstract: This paper addresses the problem of a knowledge based support, when designing business strategy and adequate key performance indicators (KPI). The business strategy designing is considered to be a business process and is a subject of modelling as well, while a linguistic modelling approach is applied for those purposes, where the business process model semantics plays a role of principal importance and that model is derived from text in natural language (TNL text), which describes structure and functionality of the business processes to be modelled quantified via linguistic sets, which create basis of business process model semantics and might be applied in design and implementation of business process linguistic modelling - expert system built up base on semantic technology principles (ST-LM expert system). The ST-LM expert system knowledge base operates based on semantic networks and (SNW) and reference databases and contains knowledge concerned to KPI Indicator generation and decomposition to lower levels of management. In that paper, the ST-LM expert system structure and functionality is described together with an appropriate knowledge base and inference mechanism.

Keywords: business process; linguistic modelling; expert system; knowledge base; inference mechanism; semantic networks; reference databases.

DOI: 10.1504/IJBIS.2019.100278

International Journal of Business Information Systems, 2019 Vol.31 No.2, pp.170 - 194

Available online: 21 Jun 2019 *

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