A New Technology for Interactive Online Mapping with Vector Markup and XML

2000 ◽  
pp. 65-77 ◽  
Author(s):  
Ilya Zavlavsky
Keyword(s):  
New Technology ◽  
Multiple Point ◽  
Markup Language ◽  
Map Labeling ◽  
Scalable Vector Graphics ◽  
Geographic Data ◽  
Online Mapping ◽  
Extensible Markup ◽  
Point Line ◽  
Client Side

As Internet cartography matures from static map images to interactive and animated maps, and embraces extensive GIS functionality, the limitations of presenting Web maps as image files become obvious. In this paper, a new technology for Internet cartography is demonstrated that uses direct vector rendering in a browser to create highly interactive virtual maps from distributed sources of geographic data. This technology is made possible by the advent of XML (eXtensible Markup Language) and XML applications for 2D vector rendering such as VML (Vector Markup Language) and SVG (Scalable Vector Graphics). AXIOMAP – Application of XML for Interactive Online Mapping – is a Web map publishing kit and a customizable virtual map interface that allows for the display and manipulation of multiple point, line and area layers, database query, choropleth mapping, hyperlinking, map labeling and annotation. To render maps in a Web browser (Internet Explorer 5, in the current version), AXIOMAP generates VML shapes “on the fly” from XML-encoded geographic data that can physically reside on different servers. A thin client-side solution, AXIOMAP provides for better interactivity than traditional map serverbased approaches. The paper explains the functionality of AXIOMAP, the technology behind it, and presents several applications. A free version of the software can be downloaded from www.elzaresearch.com/landv/.

Case Studies Using JavaScript-Based Frameworks

2014 ◽  
pp. 189-209
Keyword(s):  
Web Services ◽  
Case Studies ◽  
Third Party ◽  
Markup Language ◽  
Business Logic ◽  
Thin Client ◽  
Server Side ◽  
Extensible Markup ◽  
Client Side ◽  
Hypertext Markup Language

In development of thin-client applications, it is a common practice to use server-side technologies in order to create data and business logic back-ends and client side-technologies to create lightweight HyperText Markup Language (HTML)-based front-ends. In the development of Web 2.0 applications, the data and business logic back-ends are typically built on top of third-party Web services. In this context, Simple Object Access Protocol (SOAP) has been traditionally used as the standard communication protocol for eXtensible Markup Language (XML)-based Web services. This chapter presents a review of the support for invoking SOAP-based Web services using Java; then, it discusses the development, using jQuery, Prototype, Dojo, and Java Server Pages (JSP), of different thin-client applications based on third-party SOAP Web services by means of a series of case studies to exemplify the use of some User Interface (UI) patterns for accomplishing rich design principles such as stay on the page and use transitions.

An Electronic Study Form to Support Collaborating Agents in the Management of Clinical Knowledge

1999 ◽  
Vol 38 (03) ◽  
pp. 154-157
Author(s):  
W. Fierz ◽  
R. Grütter
Keyword(s):  
Procedural Knowledge ◽  
Health Care Provision ◽  
Markup Language ◽  
Artificial Agents ◽  
Care Provision ◽  
Clinical Knowledge ◽  
Extensible Markup ◽  
Implementation Level ◽  
Biological Organisms ◽  
Representation Of Knowledge

AbstractWhen dealing with biological organisms, one has to take into account some peculiarities which significantly affect the representation of knowledge about them. These are complemented by the limitations in the representation of propositional knowledge, i. e. the majority of clinical knowledge, by artificial agents. Thus, the opportunities to automate the management of clinical knowledge are widely restricted to closed contexts and to procedural knowledge. Therefore, in dynamic and complex real-world settings such as health care provision to HIV-infected patients human and artificial agents must collaborate in order to optimize the time/quality antinomy of services provided. If applied to the implementation level, the overall requirement ensues that the language used to model clinical contexts should be both human- and machine-interpretable. The eXtensible Markup Language (XML), which is used to develop an electronic study form, is evaluated against this requirement, and its contribution to collaboration of human and artificial agents in the management of clinical knowledge is analyzed.

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