A Muti-Representation and Generalisation Based Webmapping Approach Using Multi-Agent System Predicates
نویسندگان
چکیده
Over the last decade, an enormous demand for digital maps in different disciplines and fields was stated. Geographical information is currently available at anytime, from anywhere on the surface of the earth, by any person connected to internet. Some applications of design, implementation, generation and dissemination of maps on the Web are recognized as Webmapping. It uses among other things, a Geographic Data Base (GDB) and must be able to provide a fast response time (quasi-real time) and a high quality of visualized information. We propose in this paper, a Webmapping approach which is based on two principles; (1) exploiting an hybrid approach Multiple Representation and Generalisation in storing, handling and generating geographic data and (2) integrating Multi-Agent technology, in all steps of the Webmapping process. The effectiveness assessment of our webmapping approach is performed in ArcGIS environnement 9.3. We present some results of our experimentation which focused on the road network theme.
منابع مشابه
Enabling Semantic Mediation in DaaS Composition: Service-Based and Context-Driven Approach
48 Geo-Multi-Agent System Based Webmapping Approach Using Multiple Representation and Generalisation Driven by Domain Ontology Khalissa Derbal Amieur, Computer Science Department, University of Sciences and Technology Houari Boumediene, Bab Ezzouar, Algeria Kamel Boukhalfa, Computer Science Department, University of Sciences and Technology Houari Boumediene, Bab Ezzouar, Algeria Zaia Alimazighi...
متن کاملA multi Agent System Based on Modified Shifting Bottleneck and Search Techniques for Job Shop Scheduling Problems
This paper presents a multi agent system for the job shop scheduling problems. The proposed system consists of initial scheduling agent, search agents, and schedule management agent. In initial scheduling agent, a modified Shifting Bottleneck is proposed. That is, an effective heuristic approach and can generate a good solution in a low computational effort. In search agents, a hybrid search ap...
متن کاملA multi agent method for cell formation with uncertain situation, based on information theory
This paper assumes the cell formation problem as a distributed decision network. It proposes an approach based on application and extension of information theory concepts, in order to analyze informational complexity in an agent- based system, due to interdependence between agents. Based on this approach, new quantitative concepts and definitions are proposed in order to measure the amount of t...
متن کاملAlkemy: A Learning System based on an Expressive Knowledge Representation Formalism
This paper describes the design and analysis of a system developed to learn comprehensible theories from structured data. The underlying knowledge representation formalism is a polymorphically-typed higher-order logic. To model structured data, a class of terms suitable for representing a wide range of data is identified. To encode structural boolean features, a class of predicates that can be ...
متن کاملAutomatic Hashtag Recommendation in Social Networking and Microblogging Platforms Using a Knowledge-Intensive Content-based Approach
In social networking/microblogging environments, #tag is often used for categorizing messages and marking their key points. Also, since some social networks such as twitter apply restrictions on the number of characters in messages, #tags can serve as a useful tool for helping users express their messages. In this paper, a new knowledge-intensive content-based #tag recommendation system is intr...
متن کامل