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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Ontology-Based Content Trust Support of Expert Information Resources in Quantitative Spectroscopy
verfasst von : Alexander Fazliev, Alexey Privezentsev, Dmitry Tsarkov, Jonathan Tennyson
Erschienen in: Knowledge Engineering and the Semantic Web
Verlag: Springer Berlin Heidelberg
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An approach to assessing the content trust of information resources based on a publishing criterion has been developed and applied to several tens of spectroscopic expert datasets. The results represented as an OWL-ontology are shown to be accessible to programmable agents. The assessments enable the amount of measured and calculated trusted and distrusted data for spectroscopic quantities and ranges of their change in expert datasets to be determined. Building knowledge bases of this kind at virtual data centers intended for data intensive science will provide realization of an automatic selection of spectroscopic information resources exhibiting a high degree of trust.