Knowledge representation framework for agent-based economic systems in smart city context

Abstract

The agent-based economic systems essentially need precise configuration data and access to knowledge from various information sources in order to function properly. Main sources of such information are national statistical economic data, regional statistics, company performance indicators, etc. Generally, information sources of various formats and levels of detail are to be used. The main aim of the paper is to present a general framework for knowledge management used in the smart city context, allowing efficient employment and distribution of such data. The knowledge layer serves as an ontological intermediary between information resources and agents themselves, and is used mainly for improvement of the model efficiency especially in the following areas: (1) interagent communication, (2) system parameters configuration, (3) meta-data for improved search processes, and (4) unification of data exchange.