Agents Making Sense of the Semantic Web

This paper presents the FRED system, a development environment for agent-based applications that utilize Semantic Web resources. The FRED system consists of an agent runtime environment based on ontologies as the underlying data model and offers a tool suite for application development. It uses progressive technologies for task-service-resolution that detect suitable problem solving implementations to solve tasks assigned to agents.

IEEE Expert / IEEE Intelligent Systems, 2001

Journal of the Brazilian Computer Society, 2007

The Semantic Web provides access to heterogeneous, distributed information, enabling software products to mediate between user needs and the information sources available. Agents are one of the most promising technologies for the development of Semantic Web software products. However, agent-based technologies will not become widespread until there are adequate infrastructures for the development of semantic multi-agent systems (MAS). Some challenges, such as turning software agents into practical abstractions for dealing with ontologies, taking advantage of the distributed nature of the Web to create distributed agents and making a seamless integration with existing Web tools, e.g. the browser, still need to be addressed. This paper describes the main features of the SemantiCore framework, an agent infrastructure to develop semantic MAS. A look at a benchmark Semantic Web application illustrates the SemantiCore potential as an infrastructure for the deployment of semantic agent applications.

Web Intelligence and …, 2009

The Semantic Web aims at making Web content understandable both for people and machines. Although intelligent agents can assist towards this vision, they do not have to conform to a common rule or logic paradigm. This paper reports on the first steps towards a framework for interoperating knowledge-based intelligent agents. A multiagent system was extended with defeasible reasoning and a reusable agent model is proposed for customizable agents, equipped with a knowledge base and a Jess rule engine. Two use case scenarios display the integration of these technologies.

International Journal of Systems and Service-Oriented Engineering, 2011

Web and agents can ensure consistency in rules and support easy updating and changing of rules. The Rule Interchange Format (RIF) is a new W3C recommendation Semantic Web standard for exchanging rules among disparate systems. Yet, the contribution of RIF in rules exchange between Semantic Web and software agents is unclear. The BDI architectural style is regarded as the predominant approach for the implementation of intelligent agents. This paper proposes a development for integrating RIF and BDI agents to enhance agent reasoning capabilities. This approach consists of an integration architecture and equivalence principles for rule translation. The equivalence principles are demonstrated using examples. The results show that the approach allows the integration of RIF with BDI agent programming and realize the translation between the two systems.

2008

Abstract The paper presents two original studies on using semantic Web technologies in the context of agent-oriented applications. We detail two original multi-agent platforms (Omega and ADF) and their pragmatic deployment for semantic-enriched collaboration between Web entities within an e-enterprise. Several case-studies are also provided. Keywords: Web agent, semantic Web, collaboration

… Information Networking and …, 2008

The flourishing idea of Semantic Web is realized as extension of the World Wide Web infrastructure. The WWW has rehabilitated interest in semantic interoperability between various semantic languages. Semantic languages like OWL, WSML and FIPA SL formalize WWW into machine process able and understandable, by their ability to represent machine interpretable contents on the Web. These semantic description languages differ in syntax and semantic representation, resulting in mismatches that hamper semantic information exchange and interoperability for cross service utilization among the resulting information systems. In this paper we propose agent based technique to facilitate translation among heterogeneous contents while preserving the semantics. We propose the architecture to realize the system in a middleware that enables agent based dynamic semantic interoperability between FIPA compliant software agents and semantic web languages including OWL and WSML. We have developed a prototype application through which a software agent communicate and use a web service published in OWL or WSML and vice versa.

Proceedings of the fourth …, 2005

In this paper, a new agent development framework and platform, which includes built-in features for semantic web based multi agent system development, is introduced. The first built-in support is that all agents and services in the platform use semantic web standards to represent their internal knowledge and semantic web query languages are used to query them. The second feature is the ability to discover and dynamically invoke semantic web services. Third, directory service is implemented in a way to support semantic matching of agent capabilities. Finally, an ontology service is defined to manage and translate ontologies. The ontology service allows defining mappings between platform ontologies and external ontologies and the ontology translation is done based on the defined mappings. With these features, which the existing agent development frameworks do not have, the agent development platform that we have developed simplifies the semantic web based multi-agent system development.

Innovative Techniques in Instruction Technology, E-learning, E-assessment, and Education, 2008

A complex relationship between the semantic and the dynamic web is derived based on the concepts of ontology engineering. The resultant complex relationship can then be used to construct new generation intelligent agent-based software. Although the World Wide Web (WWW) was originally designed as a distributed information space that supported human navigation through related linked documents, the machine or software agent based assistance has been hindered by the type of markup used within the documents. Our derived relationship can show that how the dynamic semantics of the web enables software agents to derive underlying semantics on the basis of common ontologies and common agreed semantic to generate and process the semantics dynamically. In addition, an ontological relationship between the static and the dynamic semantics of the web is also presented. The Ontological view of this concept highlights the need of dynamic web semantics. Also, we show that how the dynamic semantics will be enabled by and useful to the new generation of the intelligent agent software that will increasingly inhabit the web in the coming years.

2008

The agent-based approach is an effective one for building middleware interconnecting distributed heterogeneous resources and providing semantic interoperability among them. On the other hand, agents need the semantic Web technologies for flexible yet effective coordination among them with a particular issue of enabling agents to communicate not only about the domain but also about their own abilities, goals, and present and intended actions. This paper describes semantic agent programming language (SAPL)intended to be a core middleware language for the semantic Web. S-APL integrates the semantic description of the domain resources with the semantic prescription of the agents' behaviors. Additionally, S-APL can be used as the content language in the inter-agent communications, both in querying for data and in requesting for action.