Semantic Storage of Chemical Data
نویسندگان
چکیده
Chemical data storage is inherently information inefficient, discarding many minor details to ease the burden of handling such data. The application of semantic web technologies and a triplestore allows the practical capture and referencing of a huge amount of metadata on each datum, thereby supplying the means to track authorship and veracity of properties within the database. This augments high throughput simulation, quality control and QSAR/QSPR analysis by minimising the loss of vital provenance when the data is created. Data Mining in a Chemistry Con-
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تاریخ انتشار 2005