Semantic Web Environments for Multi-Agent Systems: Enabling agents to use Web of Things via semantic web
This work addresses the integration of multi-agent systems with semantic web technologies for decentralized web applications, but it appears incremental as it builds on existing models and ontologies.
The paper tackles the problem of enabling multi-agent systems to interact with the Web of Things by transforming the Agent and artifact meta-model into a semantic web format, resulting in a proposed approach for uniform agent access to things through ontology reuse.
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.