Semantic Web Environments for Multi-Agent Systems: Enabling agents to use Web of Things via semantic web

TL;DR

This paper proposes a semantic web environment for multi-agent systems that enables agents to access and interact with Web of Things resources using semantic web technologies and ontologies.

Contribution

It introduces an approach to convert the Agent and Artifact meta-model into a semantic web-compatible format and reuse existing ontologies for uniform agent access to Web of Things.

Findings

Successful transformation of A&A meta-model into semantic web format

Reusability of existing ontologies for Web of Things access

Enhanced agent interoperability with semantic web standards

Abstract

The Web is ubiquitous, increasingly populated with interconnected data, services, people, and objects. Semantic web technologies (SWT) promote uniformity of data formats, as well as modularization and reuse of specifications (e.g., ontologies), by allowing them to include and refer to information provided by other ontologies. In such a context, multi-agent system (MAS) technologies are the right abstraction for developing decentralized and open Web applications in which agents discover, reason and act on Web resources and cooperate with each other and with people. The aim of the project is to propose an approach to transform "Agent and artifact (A&A) meta-model" into a Web-readable format with ontologies in line with semantic web formats and to reuse already existing ontologies in order to provide uniform access for agents to things.