Semantic Agent Systems
2011, Studies in Computational Intelligence
https://doi.org/10.1007/978-3…
23 pages
1 file
Sign up for access to the world's latest research
Abstract
AI
AI
This paper explores the integration of Semantic Web technologies within agent programming, specifically for multi-agent systems (MAS). It highlights the limitations of existing frameworks, particularly in terms of interoperability and the semantic representation of agent behaviors. The proposed solution includes a novel agent architecture that facilitates behavior sharing and programming through semantic rules, enhancing the proactive capabilities of agents and addressing gaps in previous studies.
Related papers
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.
Knowledge media in …, 2002
RDF(S) 1 constitutes a newly emerging standard for metadata that is about to turn the World Wide Web into a machine-understandable knowledge base. It is an XML application that allows for the denotation of facts and schemata in a web-compatible format, building on an elaborate objectmodel for describing concepts and relations. Thus, it might turn up as a natural choice for a widely-useable ontology description language. However, its lack of capabilities for describing the semantics of concepts and relations beyond those provided by inheritance mechanisms makes it a rather weak language for even the most austere knowledge-based system. This paper presents an approach for modeling ontologies in RDF(S) that also considers axioms as objects that are describable in RDF(S). Thus, we provide flexible, extensible, and adequate means for accessing and exchanging axioms in RDF(S). Our approach follows the spirit of the World Wide Web, as we do not assume a global axiom specification language that is too intractable for one purpose and too weak for the next, but rather a methodology that allows (communities of) users to specify what axioms are interesting in their domain.
2011
The development of next-generation Internet content services is predicated on the ability to process information automatically on a semantically-rich level. This requires design of semantic languages, domain ontologies written in semantic languages, information described with these ontologies, and agents for exploiting the information. This paper explores the latter two requirements. We describe the basic concept of ontology (as used in informatics), summarize research directions in this area. In the second part of the paper, we present and discuss our initial design of a travel-related ontology for a software agent system and illustrate its RDF-based implementation. 1.
Proceedings of SWDB
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.
The term " Semantic Web " is often used more specifically to refer to the formats and technologies that enable it. These technologies include the Resource Description Framework (RDF), a variety of data substitution formats, and notations such as RDF Schema and the Web Ontology Language, all of which are intended to provide a formal description of concepts, terms, and relationships within a given knowledge domain. In the last decade the increasing popularity of the World Wide Web has lead to an exponential growth in the number of pages available on the Web. This huge number of Web pages makes it increasingly difficult for users to send required information. To enable machines to support the user in solving information problems, the Semantic Web proposes an extension to the existing Web that makes the semantics of the Web pages machine process able. The Semantic Web is well recognized as an effective infrastructure to enhance visibility of knowledge on the Web. The foundation of the Semantic Web is ontology , which is used to unambiguously represent our conceptualizations. Ontology engineering in the Semantic Web is primarily supported by languages such as RDF, RDFS and OWL. This article discusses the requirements of ontology's in the context of the Web, compares the above three languages with existing knowledge representation formalisms, and surveys tools for managing and applying ontology's.
International Journal of Research in Engineering and Technology, 2014
Semantic web has become as a new version of machine-understandable web including with intelligent search results in order to improve search along with data usage on the global scale. Semantic web vision is to allow intelligent description and interchange of integrated data from various distributed and heterogeneous web resources. A structure for this data on web is known as Resource Description Framework (RDF) where data is stored in the form of XML (Extended Markup Language). For effective and efficient Retrieval of the data from such large RDF, a query language SPARQL (Standard Protocol and RDF Query Language) is used. In this paper, the usages and roles of RDF, SPARQL and Web ontology is shown with illustrations of SPARQL queries along with some optimization heuristics.

Loading Preview
Sorry, preview is currently unavailable. You can download the paper by clicking the button above.