Authors
Pustozerov E.
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Degree
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Chief of Direction, CJSC RDTEX |
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E-mail
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Evgeny.Pustozerov@rdtex.ru |
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Location
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Moscow |
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Articles
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Using ontologies for creation and operation of financial data warehousesThis article is dedicated to analytical review of data warehouses technology and loading of heterogeneous data into it. Article describes how OWL ontologies could be used to facilitate operations with heterogeneous data. Our approach extensively uses ontology during loading external data phase and during obtaining analytical data phase.
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Semantic interoperability in solving financial problems and ways of measuring itThe article discusses issues related to the solution of the problem providing semantic interoperability
in the financial organization. Interoperability is an ability of the joint operation of automated systems
and consists of technical and information. Problems associated with the technical interoperability in
modern IT systems generally are solved. Technical interoperability studies related to problems solution
of performance, reliability, cryptographic data protection, cost optimization and etc. Automated
systems must use the information in compatible manner, in a certain sense, must exist a «same understanding
» the content of the interaction between them. It must be formed common semantic field.
Financial organizations use the semantics to harmonize their data by available government public information
to interact with each other. Automatic integration method is a qualitative development expert
method. One of the important indicators of integration is the proportion of incompatible semantically
mapped information sources. Such an assessment may be obtained in two ways: automatically or
expert. Automatically obtained estimate can be computed by embedding the special algorithms, which
record discrepancies in information (rejected transactions). Another indicator of interoperability is a
number of attributes (tags, facts and etc.) that can be obtained from this information block. Means of
semantic interoperability in demand at all stages of the life cycle of the automated systems. The article
suggests some approaches to quantitative and qualitative assessment of effectiveness of existing
integration technologies. Attempt to understand how quantitative estimates and qualitative aspects of
this phenomenon is made.
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