Title: A metaphorical situation annotation framework
Authors: Mehdi Naghian Fesharaki; Abdol Hamid Fetanat; Mehdi Amjadi
Addresses: ICT Department, Malek-Ashatr University of Technology, Tehran, Iran ' Computer Engineering Department, Islamic Azad University of Mahshahr, Mahshahr, Iran ' ICT Department, Malek-Ashatr University of Technology, Tehran, Iran
Abstract: Formal models of artificial intelligence have mostly ignored metaphorical thinking. There are formal models of metaphor processing. They describe metaphorical reasoning as a process comprised of two logically distinct phases: metaphorical structure mapping and metaphorical knowledge transfer. In this paper, we propose a formal framework that provides tools and methods for a metaphorical communication between human and machine agents in a situation awareness environment, based on these formal models of metaphorical reasoning. The framework leaves the first phase of metaphorical reasoning to human minds and the second phase to machine agents. Then, it utilises the metaphorical semantic tags as the mediators between the two phases of metaphor processing. Therefore, the metaphorical tags enable the sharing of metaphorical wisdom of human agents with machine agents. The framework implements metaphorical tags and their processing schemes based on common semantic technologies and thus, is an easily implementable extension to existing semantic applications.
Keywords: metaphorical thinking; semantic web; situation awareness; tag-based annotation; human-computer interaction.
International Journal of Reasoning-based Intelligent Systems, 2022 Vol.14 No.1, pp.39 - 55
Accepted: 16 Jul 2021
Published online: 13 Jun 2022 *