The Use of Extensible Markup Language (XML) to Analyse Medical Full Text Repositories - An Example from Homeopathy

摘要

Extensible Markup Language (XML) is one of the most popular web languages in the life science used for for Semantic Data Analysis in various fields of clinical research. One of these fields is the processing of medical full texts. To extract meaningful information out of natural texts is one of the challenges when dealing with huge text repositories. We present an application of XML together with linguistic algorithms in the processing of texts from a homeopathic materia medica. Our approach enables the user not only to search within the symptom descriptions but also offers special features like sequential search within the results or the comparison of homeopathic remedies. However user demands of day to day practice and terms of information technology have both to be taken carefully into account to further develop this prototype.