Embedding matrices ontology into math software engines to support reasoning and mission oriented calculation in developing semantic agents

Abstract

The Semantic Web Technologies(SWTs) are utilized in different areas of research as a tool to represent meaningful and inferable data. Yet researchers try to come up with standardization for usage of SWTs to be able to apply it in various fields. However, the current implementations are very specialized to task and are not flexible for different instances. In this paper, we focus on design and implementation of an interface between matrix data structures utilized in various mathematical software and OWL ontology files. Therefore, ontology files can be embedded into math software for reasoning and calculation purposes. Moreover, the result of math software can be represented in form of ontology files. This issue resolves the lack of math engines to work with semantic web services. In this case a new framework for real-time human interactive communication and semantic software agents are proposed. The representation of traffic network as labyrinth into ontology files helps other information systems to interact much easier. This representation is in terms of an optimized adjacency matrix. As result, the real time system can detect an ambulance and flow the traffic in such a way that it reaches the nearest hospital much faster. Hence, the labyrinth data should be transformed to an optimized matrix for labyrinth discovery software agents to respond user interactive queries such as finding the best path to an accident for traffic police officers. In this framework, collecting the Drivers' identities and also passengers with use of RFID tags as a part of their ID cards is possible. These data could be used for statistics purposes. The results of the developed system have been tested on cooperative labyrinth discovery agents with great achievements.