Published: 15.08.2013
Articles
Analytical complex ESIMO
Abstract:
Information on analytical complex of Unified state system for information on World Ocean (ESIMO) is presenting. The brief review of analytical system is giving. Показана The operations with analytical complex is showing. It is saying about perspectives of developments analytical complex ESIMO.
Keywords:
information on oceans, information-analytical systems, processing and analysis of information, the development of analytical complex.
Methods of geographical information resources integration and access to them for scientific and educational purposes
Abstract:
In the article the problem of geographical information resources integration and free access to them are considered. The methods and technologies for creating specialized spatial data infrastructures, geoportals, databases shared and Web GIS are presented.
Keywords:
spatial data, geo-information resource, integration, geodatabase, geoportal, spatial data infrastructure, GIS services, geo-mapping technologies, distributed database, knowledge base.
Computed knowledge base for descrbing information resources in molecular spectroscopy. 5. Expert data quality
Abstract:
It is shown that trust in the content of information resources can be assessed by means of a publishing criterion, with the information recourses being of the trusted and distrusted type. The task of assessment of trust consists of four subtasks: (1) building multisets of physical quantities available in primary data sources, (2) alignment of values of physical quantities, (3) formulation of quantitative restrictions for publishing criterion in different ranges of change of physical quantities, and (4) decomposition of expert data. Spectral data publishing criteria and restrictions required for solving data alignment tasks are outlined. Alignment results have been tabulated. Using vacuum wavenumbers as an example, restrictions inherent in publishing criteria are formulated. The assessment of the content trust obtained from solutions to the tasks of decomposition f expert data are presented as the OWL-ontologies. 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.
Keywords:
quantitative spectroscopy, data alignment, content trust, publishing criterion.