This work describes a software engine which works with textual documents containing historical information. The purpose of this work three-fold: firstly to show the validity of the developed engine to correctly identify and label the entities of the universe of discourse with a
labelled-combined XTM-DITA model. Secondly to analyze the improvements achieved in the interaction between people (users) and computers with a practical application of the designed methodology to a real-world problem in the semantic web area and thirdly to plan its future integration into a traceability system.
Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/106152 |
Date | January 2008 |
Creators | Garrido, Piedad, Tramullas, Jesús, Coll, Manuel, Martínez, Francisco, Plaza, Inmaculada |
Publisher | Universidad de Castilla-La Mancha |
Source Sets | University of Arizona |
Language | English |
Detected Language | English |
Type | Conference Paper |
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