Earth Science Markup Language: A Solution for Generic Access to Heterogeneous Data Sets

The Earth Science community is processing and analyzing a large amount and variety of data. These data are generally stored in different data formats, which forces the scientists to spend a significant amount of time in writing specialized, data format specific readers. However, this preprocessing burden can by alleviated by using the Earth Science Markup Language (ESML). ESML is a specialized markup language for Earth Science metadata. Based on the eXtensible Markup Language (XMLTM), ESML allows data descriptions to be written in a standard fashion

Earth Science Markup Language: A Solution for Generic Access to Heterogeneous Data Sets

The Earth Science community is processing and analyzing a large amount and variety of data. These data are generally stored in different data formats, which forces the scientists to spend a significant amount of time in writing specialized, data format specific readers. However, this preprocessing burden can by alleviated by using the Earth Science Markup Language (ESML). ESML is a specialized markup language for Earth Science metadata. Based on the eXtensible Markup Language (XMLTM), ESML allows data descriptions to be written in a standard fashion

EARTH SCIENCE MARKUP LANGUAGE

The Earth Science community is the processing and analyzing large amount and variety of data from space and ground-based observations and from models. These data are generally stored in physical media with different data formats. This large variety of data formats forces the scientists to spend significant amount of time in writing specialized data format specific, readers before their analysis can even begin. Formats for Earth Science data can be as simple as ASCII and binary formats or be as complex as Hierarchical Data Format (HDF) and HDF Earth Observing System (HDF-EOS) formats. In this paper, we introduce the Earth Science Markup Language (ESML), being currently developed at the Information Technology and Systems Center at the University of Alabama in Huntsville. ESML would make applications independent of data formats and facilitate easier searches for data via internet search engine. Primary purpose of this paper is to bring ESML to the attention of data consumers and producers, and invite comments and suggestions

EARTH SCIENCE MARKUP LANGUAGE

The Earth Science community is the processing and analyzing large amount and variety of data from space and ground-based observations and from models. These data are generally stored in physical media with different data formats. This large variety of data formats forces the scientists to spend significant amount of time in writing specialized data format specific, readers before their analysis can even begin. Formats for Earth Science data can be as simple as ASCII and binary formats or be as complex as Hierarchical Data Format (HDF) and HDF Earth Observing System (HDF-EOS) formats. In this paper, we introduce the Earth Science Markup Language (ESML), being currently developed at the Information Technology and Systems Center at the University of Alabama in Huntsville. ESML would make applications independent of data formats and facilitate easier searches for data via internet search engine. Primary purpose of this paper is to bring ESML to the attention of data consumers and producers, and invite comments and suggestions

Ontology-based Semantic Search Tool for Atmospheric Science

The web is an enormous source of information containing resources such as web pages, data files