Ontology-Based Multi-Agent System to Support Business Users and Management

Journal Title: Technological and Economic Development of Economy - Year 2010, Vol 16, Issue 2

Abstract

For some decision processes a significant added value is achieved when enterprises’ internal Data Warehouse (DW) can be integrated and combined with external data gained from web sites of competitors and other relevant Web sources. In this paper we discuss the agent-based integration approach using ontologies (DSS-MAS). In this approach data from internal DW and external sources are scanned by coordinated group of agents, while semantically integrated and relevant data is reported to business users according to business rules. After data from internal DW, Web sources and business rules are acquired, agents using these data and rules can infer new knowledge and therefore facilitate decision making process. Knowledge represented in enterprises’ ontologies is acquired from business users without extensive technical knowledge using user friendly user interface based on constraints and predefined templates. The approach presented in the paper was verified using the case study from the domain of mobile communications with the emphasis on supply and demand of mobile phones.

Authors and Affiliations

Dejan Lavbič, Olegas Vasilecas, Rok Rupnik

Keywords

Related Articles

Integrated Fuzzy Multiple Criteria Decision Making Model for Architect Selection

The philosophy of decision making in economics is to assess and select the most preferable solution, implement it and to gain the biggest profit. Important issues such as competitive market, changing technical, political...

The Analysis of the Quality of the Results Obtained with the Methods of Multi-Criteria Decisions

For many decades we have been dealing with problems of multi-criteria decisions. Numerous methods have been developed in this field and new methods are continuously being created. In the light of a great number of method...

Investigation of Human Factors while Solving Multiple Criteria Optimization Problems in Computer Network

The aim of this investigation is to analyze a class of multiple criteria optimization problems that are solved by human-computer interaction, using a computer network. A multiple criteria problem is iterated by interacti...

Assessment of Construction Object Financing Solutions

Theoretical and practical issues related to the applicability of the evaluations of construction project financing having regard to the complexity, timeframe and the limited nature of the resources available have been la...

Multi-Attribute Decision-Making Method Research Based on Interval Vague Set and TOPSIS Method

This paper proposed a method to resolve the multi-attribute decision-making problem using TOPSIS method based on attribute weights and attribute values are all interval vague value. Firstly, based on the operation rules...

Download PDF file
  • EP ID EP84849
  • DOI 10.3846/tede.2010.21
  • Views 149
  • Downloads 0

How To Cite

Dejan Lavbič, Olegas Vasilecas, Rok Rupnik (2010). Ontology-Based Multi-Agent System to Support Business Users and Management. Technological and Economic Development of Economy, 16(2), 327-347. https://europub.co.uk/articles/-A-84849