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Linguistic Processing and Classification of Semi Structured Bibliographic Data on Complementary Medicine
Author(s) -
Thomas Ostermann,
Christa Raak,
Peter F. Matthiessen,
Arndt Büssing,
Hartmut Zillmann
Publication year - 2009
Publication title -
cancer informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.606
H-Index - 31
ISSN - 1176-9351
DOI - 10.4137/cin.s1182
Subject(s) - information retrieval , computer science , xml , medline , bibliographic database , world wide web , medicine , political science , law
Complementary and alternative therapies and medicines (CAM) such as acupuncture or mistletoe treatment are much asked for by cancer patients. With a growing interest in such therapies, physicians need a simple tool with which to get an overview of the scientific publications on CAM, particularly those that are not listed in common bibliographic databases like MEDLINE. CAMbase is an XML-based bibliographical database on CAM which serves to address this need. A custom front end search engine performs semantic analysis of textual input enabling users to quickly find information relevant to the search queries. This article describes the technical background and the architecture behind CAMbase, a free online database on CAM (www.cambase.de). We give examples on its use, describe the underlying algorithms and present recent statistics for search terms related to complementary therapies in oncology.

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