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Breathing Space is the first semantic web collaboration between scholarly societies which became available to the public in 2009. It is a pilot project that aims to explore the value to researchers of compiling and mining a critical mass of data within a discipline, using the Whatizit text processing system, which integrates vocabularies from NCBI's taxonomy, Medline Plus, Gene Ontology and Swissprot. XML content has been converted to RDF (Resource Description Framework) for the semantic web pilot project. Data is then accessed using an SQL-like query language for RDF called SPARQL which allows for integration with a wide range of relevant and authoritative Open Data sets. The project collates content from the European Respiratory Society and the American Thoracic Society, who together account for 30% of citations within the field of respiratory medicine. The objective of the pilot is to demonstrate that bringing a variety of articles together from different sources reveals important connections between the articles, author and concepts. The project is supported by semantic web experts Publishing Technology and digital marketing experts TBI Communications. ==External links== *(Publishing Technology's website ) *(TBI Communications website ) * (Breathing Space ) 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Breathing Space Semantic Web」の詳細全文を読む スポンサード リンク
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