Paper Info
Title
A Multi-Agent Approach for Dynamic Ontology Loading to Support Semantic Web Applications
Abstract
The Semantic Web refers to a range of standards, modeling languages and tool development initiatives aimed at annotating Web pages with well-defined metadata, so that the semantics associated with Web contexts can be effectively interpreted The applications that deliver these new online solutions are all based on ontologies. An ontology can be described as a consensual, shared and formal description of key concepts in a given domain [1]. The ultimate aim is to be able to handle user requests at semantic levels. We propose a new approach to support concept based on-line search applications. An easy to use Web page development tool is deployed, providing a convenient mechanism to create semantically marked up Web pages. Search and coordination activities are carried out by intelligent agents designed for such environments. An application example using accommodation services in the Australian tourism industry has been provided to give our research an applied and pragmatic perspective.
Year
DOI
Venue
2004
10.1109/IRI.2004.1431522
IRI
Keywords
Field
DocType
hypermedia markup languages,meta data,multi-agent systems,ontologies (artificial intelligence),semantic Web,travel industry,Australian tourism industry,OWL,RDF,Web page development tool,concept based search,dynamic ontology,intelligent agents,metadata,modeling languages,multiagent approach,online search application,semantic Web
Data mining,World Wide Web,Semantic Web Stack,Web page,Computer science,Web standards,Semantic Web,Data Web,OWL-S,Web modeling,Social Semantic Web
Conference
Citations 
PageRank 
References 
0
0.34
1
Authors
3
Name
Order
Citations
PageRank
Brooke Abrahams1155.24
G. Michael Mcgrath23410.82
Wei Dai300.34