Asthma is an inflammatory disease of the lower airways. The typical symptoms of asthma are cough, wheezing and shortness of breath. Asthma is diagnosed based on measures of pulmonary function showing variable or reversible airways obstruction. The basic pharmacological treatment consists of alleviating the asthmatic inflammation with regular inhaled glucocorticoids and relieving sudden obstructions with as-needed inhaled beta2-agonists. The treatment is adjusted based on asthma control. If good control of asthma is not achieved with low to medium doses of inhaled glucocorticoids, additional control medication (inhaled long acting beta2-agonists, antileukotrienes, in adults also theophylline or tiotrohium) should be introduced.
Historical texts are an important component of cultural heritage, and are being digitized and published on the web in various portals for the researchers and the public. However, searching and linking them with related contents is challenging due to the non-structured text form, digitization errors, and the differences and variations between old and modern language, including historical names (e.g. places), used for querying. This paper addresses these issues by presenting an approach and a system for publishing old texts on the semantic web. As a case study, an existing historical newspaper archive on the web is considered. In our model, semantic metadata is added to the text using automated concept extraction methods. Search is implemented with semantic techniques, by creating a multi-faceted search interface for the text materials. Problems due to OCR errors and spelling variants are addressed with a fuzzy string matching algorithm trying to guess corresponding words in a lexicon, and giving suggestions for corrected word forms. References between texts in the library as well as links between the library and external knowledge sources are formed by using shared ontologies for semantic annotations.
