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We propose a multi-agent based common framework for interoperability among CAs (Certificate Authorities) from multiple PKI (Public Key Infrastructure) domains to build trust and secure for electronic transactions. Most of the countries recognize PKI as a powerful technique for security services and implemented their own PKI for online user. Several trust models have been used in PKI, and achieving interoperability between them is a major issue which requires recognition of certificates from different domains in order to perform transactions confidently in a cross border application. In our system, User Agent, Trust Agent and Management Agent are created. These software agents co-operate each other for user authentication and authorization processes autonomously in multiple PKI domains within the ASEAN region to encourage the recognition of digital signature to enhance regional market. Our system intended to facilitate not only for matured e-commerce but also for individual start up entrepreneur for secure trading by taking into consideration of regional needs.

In this paper, we show how ontology can be utilized to support distant communication. Although augmented with audio and video functions, and screen sharing facilities, the users of real-time communication tools are facing difficulties due to their inability to provide appropriate meaning for keywords or conversation topics. Our system fills the semantic gap and supports the knowledge of keywords related to a specific topic. This paper presents an extended approach that uses different domain ontologies to carry out mapping by agents. Assisting a teacher by providing appropriate information to students as an intelligent tutoring system is one example application. This paper describes a sample scenario of computer usage operations in an English composition class that shows how the semantic gap between teachers and students can be filled using ontologies.

This paper introduces a multi-agent system that applies semantic web technology to bridge the semantic gap between communication users with different knowledge levels. The system aims to provide smooth conversation with the assistance of semantic information to share the information by users with higher knowledge levels. In this scenario, agents act as personal assistants who monitor the user information and the exchanged contexts. Agents communicate with each another to transfer knowledge to various users depending on their background knowledge levels. Therefore, although the conversation topic is identical, the provision of information will be different. In this paper, we present a sample scenario of computer usage operations in an English composition class that can effectively be applied in a teaching environment. We create domain ontology to perform mapping with the teacher's ontology for knowledge extraction and content conversion. Bridging the semantic gap helps users to communicate easily without considering knowledge barriers.

This paper introduces a multi-agent system to bridge the semantic gap during a conversation between people of different knowledge levels. The system is intended to support smooth communication for providing a definition or explanation of keywords on a specific subject by means of text and graphical format to online users with poor skills. In this framework, software agents act as a personal assistant that monitors the user's information. The Extensible Messaging and Presence Protocol (XMPP) is used for agent message transport and instant messaging (IM) at the same time. Although the conversation keyword is identical, the provision of information is different depending on the user's level of knowledge. The paper describes a sample scenario of computer usage operations in an English composition class that can effectively be applied in a teaching environment. We create domain ontology for students to perform mapping with the teacher's ontology to solve the semantic heterogeneity problem. Bridging the semantic gap helps users to communicate easily without considering the knowledge barrier.