A personal agent application for the semantic web

Advanced Information and Knowledge Processing, 2010

This overview paper is a survey of recent research on agent technologies and how this technology can serve the scopes of the Semantic Web project. In a short time, Web has become the dominant database for information retrieval. Due to the exponential growth of the Web and the information it provides, finding accurate information is becoming more and more difficult. In the near future, access to Web will be mediated by intelligent applications and software agents that will assist users in finding accurate information and complete transactions successfully. Concisely, the Semantic Web means ontologies and semantics, software agents means multi-agents systems (MASs) built in FIPA [11] and other agent platforms with their own standards, and Web services means XML. We will try to investigate the way these technologies can cooperate without changing their specifications.

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.

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.

Proceedings of the first international conference on Autonomous agents - AGENTS '97, 1997

This paper describes SHOE, a set of Simple HTML Ontology Extensions which allow World-Wide Web authors to annotate their pages with semantic knowledge such as "I am a graduate student" or "This person is my graduate advisor". These annotations are expressed in terms of ontological knowledge which can be generated by using or extending standard ontologies available on the Web. This makes it possible to ask Web agent queries such as "Find me all graduate students in Maryland who are working on a project funded by DoD initiative 123-4567", instead of simplistic keyword searches enabled by current search engines. We have also developed a web-crawling agent, Exposé, which interns SHOE knowledge from web documents, making these kinds queries a reality. 1

2002

Personal agents are proactive and adaptable intelligent agents which meet the demands of individuals. The use of personal agents will become fully prominent when the intelligent agents are provided with mechanisms for understanding the contents of document they access. Making it possible for the intelligent agents to understand semantics of the documents published on the Web is the central task in the development of the Semantic Web. Possibility of application of Semantic Web and the personal agents through distance education systems is elaborated in this paper. We also present adaptation of our distance education system DTEx-Sys (Distributed Tutor Expert System) for the use in environment of Semantic Web and personal agents.

Lecture Notes in Computer Science, 2001

Effective use of the vast quantity of information now available on the web will require the use of "Semantic Web" markup languages such as the DARPA Agent Markup Language (DAML). Such languages will enable the automated gathering and processing of much information that is currently available but insufficiently utilized. Effectively, such languages will facilitate the integration of multi-agent systems with the existing information infrastructure. As part of our exploration of Semantic Web technology, and DAML in particular, we have constructed ITTALKS, a web-based system for automatic and intelligent notification of information technology talks. In this paper, we describe the ITTALKS system, and discuss the numerous ways in which the use of Semantic Web concepts and DAML extend its ability to provide an intelligent online service to both the human community and the agents assisting them.

Lecture Notes in Computer Science, 2002

The Semantic Web promises to change the way agents navigate, harvest and utilize information on the internet. By providing a structured, distributed representation for expressing concepts and relationships defined by multiple ontologies, it is now possible for agents to read and reason about published knowledge, without the need for scrapers, information agents, and centralized ontologies. Agents can utilize this knowledge to seek and invoke other agents and web services, thus supporting navigation across the Semantic Web. We demonstrate how agents support enhanced navigation within a conference-schedule domain, and present three agent-based services: the RETSINA Calendar Agent, which reasons about schedules marked up on the Semantic Web; the DMA2ICal Translation Agent which provides translation services between schedules grounded in different ontologies, and a Conference Agent that invokes the Calendar Agent.

We present a case study in engineering a large knowledge base to meet the requirements of a personal assistant. The agent is designed to function as part of a semantic desktop application with the goal of helping a user manage and organize his information as well as support the user in performing day today tasks. We discuss our development methodology and the knowledge engineering challenges we faced in the process. The use of ontologies, metadata annotations, and semantic web protocols on desktop computers will allow the integration of desktop applications and the web, enabling a much more focused and integrated personal information management as well as focused information distribution and collaboration on the Web beyond sending emails. In this paper, we present our experience in constructing a large knowledge base (KB) designed specifically to support a personal assistant called CALO (Cognitive Assistant that Learns and Organizes). CALO is a multidisciplinary project funded by DA...

IEEE Expert / IEEE Intelligent Systems, 2001

Computer Science and Information Systems, 2013

Software agents became popular in the development of complex software systems, especially those requiring autonomous and proactive behavior. Agents interact with each other within a Multi-agent System (MAS), in order to perform certain defined tasks in a collaborative and/or selfish manner. However, the autonomous, proactive and interactive structure of MAS causes difficulties when developing such software systems. It is within this context, that the use of a Domain-specific Language (DSL) may support easier and quicker MAS development methodology. The impact of such DSL usage could be clearer when considering the development of MASs, especially those working on new challenging environments like the Semantic Web. Hence, this paper introduces a new DSL for Semantic Web enabled MASs. This new DSL is called Semantic web Enabled Agent Language (SEA_L). Both the SEA_L user-aspects and the way of implementing SEA_L are discussed in the paper. The practical use of SEA_L is also demonstrate...