Paper Info
Title
A Case Study in Applying Semantic Web Technologies to the XML-Based Tactical Assessment Markup Language (TAML)
Abstract
The ability to analyze data quickly and transform it into ac- tionable information is vital for information superiority. However, the amount of available data is increasing and the time to make decisions is decreasing. There is too much data for humans to sift through and filter for decision making, so computer automation is necessary. The Extensible Markup Language (XML) offers a partial solution by providing a syntactic standard for data ex- change. The Tactical Assessment Markup Language (TAML) is an XML vocabulary for exchanging undersea warfare tactical data. However, the meaning or semantics of the data is unknown to the machine processing the data. The Semantic Web is a set of technologies designed to add semantic information to data for machine processing. The technologies consist of several components, including a common syntax for data exchange, common semantic rep- resentation, and a common ontology language. Reasoning engines also apply algorithms to the data to infer useful in- formation and present it to decision makers. Sophisticated Semantic Web tools and techniques are rapidly emerging. This paper provides a case study in adding stronger seman- tic content through application of Semantic Web technolo- gies to XML-based languages such as TAML. The lessons learned will help enable systems to extract useful, action- able information from a number of distributed, autono- mous, heterogeneous information sources and bring the armed forces closer to a knowledge-aware Global Informa- tion Grid (GIG).
Year
Venue
Keywords
2006
AAAI Fall Symposium: Semantic Web for Collaborative Knowledge Acquisition
preprint
Field
DocType
Citations 
SGML,Data exchange,Information retrieval,Collaborative Application Markup Language,XML,Computer science,Semantic Web,XHTML,Semantic Web Rule Language,RuleML
Conference
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Candace Childers100.34
Don Brutzman218328.68
Curtis Blais3113.65
Paul Young400.34