منابع مشابه
Geography Markup Language
Geography Markup Language (GML) is an XML application that provides a standard way to represent geographic information. GML is developed and maintained by the Open Geospatial Consortium (OGC), which is an international consortium consisting of more than 250 members from industry, government, and university departments. Many of the conceptual models described in the ISO 19100 series of geomatics...
متن کاملOn the Compression of Geography Markup Language
The Geography Markup Language (GML) is a standard XMLbased language that enables the representation and easy interchange of geographic data between Geographic Information Systems (GIS). In this paper, we explored the compressibility of GML performing some empirical experiments over real GML corpus using a wide set of wellknown compressors. In particular, the main characteristics of GML are firs...
متن کاملGeographische Modellierung mit der Geography Markup Language (GML)
Norbert Luttenberger studierte Elektrotechnik an der Technischen Universität Braunschweig. Er startete seine berufliche Karriere als Entwicklungsingenieur bei der Siemens AG und wechselte dann an die Universität Erlangen-Nürnberg, wo er 1984 zum Dr.-Ing. promovierte. Danach arbeitete er im Wissenschaftlichen Zentrum der IBM in Heidelberg. 1995 wurde er auf eine Professur für Datenübertragung un...
متن کاملGML Gesture Markup Language
This paper discusses emerging problems of VHML – the Virtual Human Markup Language. VHML is XML based and allows interactive Virtual Humans to be directed so that human-virtual human interaction is more effective. The language addresses issues related to Facial and Body Animation, Dialogue Management, Text to Speech production, Emotional Representation plus Hyper / Multi Media information. Vari...
متن کاملPrague Markup Language Framework
In this paper we describe the Prague Markup Language (PML), a generic and open XMLbased format intended to define format of linguistic resources, mainly annotated corpora. We also provide an overview of existing tools supporting PML, including annotation editors, a corpus query system, software libraries, etc.
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ژورنال
عنوان ژورنال: Data Science Journal
سال: 2006
ISSN: 1683-1470
DOI: 10.2481/dsj.5.178