This paper describes the generation of maps on-demand with the use of a multiscale database. It is based on an analysis of the requirements of on-demand mapping and points out the different requests and limits of on-demand cartography. The central idea is to combine two commonly used approaches in cartography: On the one hand the use of a multi-scale database which includes two or more levels o...

Web Services, with loosely-coupled, high-interoperable and platform-independent characteristics, is gaining popularity in distributed computing. However, web services suffers performance penalty because its protocol stack is based on XML. SOAP is used to specify wire message format in web services, and SOAP processing largely affects the performance of web services. In this paper, we firstly an...

The Semantic Web anticipates rich, integrated access to a large number of information sources on the Internet. Since a large number of websites are backed by SQL databases, methods that automate the integration of these databases with the Semantic Web are crucial. This paper surveys methods used to create ontological descriptions of databases by examining the database schema, normally known as ...

The data management of a large geological survey is not an easy task. To efficiently store and manage the huge datasets, a database of geological information on the basis ofMicrosoftAccess has been created. By using the database of geological information, we can make easily and scientifically store andmanage the large geological information.The geological maps—borehole diagrams, the rose diagra...

There is a significant need to recognise the text in images on web pages, both for effective indexing and for presentation by non-visual means (e.g., audio). This paper presents and compares two novel methods for the segmentation of characters for subsequent extraction and recognition. The novelty of both approaches is the combination of (different in each case) topological features of characte...

Children can determine the meaning of a new word from hearing it used in a familiar context—an ability often referred to as fast mapping. In this paper, we study fast mapping in the context of a general probabilistic model of word learning. We use our model to simulate fast mapping experiments on children, such as referent selection and retention. The word learning model can perform these tasks...

This paper reports progress in realizing human-agent argumentation, which we argue will be part of future Computer-Supported Collaborative Argumentation (CSCA) tools. With a particular interest in argument mapping, we present two investigations demonstrating how a particular agent-oriented language and architecture can augment CSCA: (i) the use of the IBIS formalism enabling Brahms agents to si...

In this article we investigate the application of qualitative spatial reasoning methods for learning the topological map of an unknown environment. We develop a topological mapping framework that achieves robustness against ambiguity in the available information by tracking all possible graph hypotheses simultaneously. We then exploit spatial reasoning to reduce the space of possible hypotheses...

Geospatial distribution of population at a scale of individual buildings is needed for analysis of people’s interactionwith their local socio-economic and physical environments. High resolution aerial images are capable of capturing urban complexities and considered as a potential source formapping urban features at this fine scale. This paper studies population mapping for individual buildings...