Integrated Analytical Information Resource Management System

Giorgi Ghlonti Dept. of Informatics and Programming

N. Muskhelishvili Institute of Computational Mathematics of the Georgian Technical University Faculty of Information Technologies and Engineering

International Black Sea University Tbilisi, Georgia

gg59ster@gmail.com

Abstract� The paper is considered to the problems of development of analytical information resource management systems. The authors present a service-oriented architecture solution that provides data collection and aggregation at the points where information emerges. The user is provided by a set of functional complexes, allowing to build the applications covering the entire lifecycle of analytical information resource from the planning data collection to the stages of data processing.

Keywords-analytical information resource management; service-oriented architecture; functional complexes; data warehouse; homogeneous information model

INTRODUCTION The accumulation and effective use of information,

describing the status and activities of any social and economic system appears to be the condition of its successful development.

High quality information resource is an asset that determines the efficiency of decision making at all levels of hierarchy in social and economic environments.

Effective use of this asset requires the development of strategy for managing the analytical information resource, which implies not only the regulation of local problems concerned with data treatment at the points where information is gathered or aggregated, but also the decisions concerning the global issues of unity, completeness and consistency of analytical information resource throughout the subject area, integrity and transparency of information space.

In this paper the author present a service-oriented architecture solution that provides data collection and aggregation in the points where information is gathered The entire lifecycle of analytical information resource, from the planning data collection, to the stages of processing and analyzing the results is covered.

System requirements include:

� Adaptability to the diversity and multiple criteria of subject area;

� Support of open and flexible information model; � Ability to locate significantly large amounts of data

in common information space, where they would be used by all software applications that have access to data warehouse;

� Guarantee completeness, consistency and integrity of information resource;

� Provide users by tools of building application software without programmers intervention;

� Minimize time and cost for data processing; � Provide homogeneity of information model, in order

to ensure transparence of the information space. The project includes following components: � The subsystem for collecting, storing and multiple

reuse of information; � Functional complexes for data processing; � Technology for designing user applications.

DATA WAREHOUSE In the design of the subsystem for collecting, storing

and multiple reuse of information the authors were guided by considerations of analytical information to be, in essence, statistical data and that their collection and processing is subject to the requirements and laws that regulate the statistical studies and observations in general.

Thus the system requirements should be interpreted as the need to provide the user with a mechanism that allows the planning and conduct of various statistical studies, placing the results in the common information space, with the ability to use these data as an analytical source of information by all applications and systems from subject area.

It should be take into account, that the accumulation of knowledge in the subject area requires the development of some general model of it, according to which the researches are planned. In this case, data will be accumulated gradually

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and above mentioned quality standards for information resource and information space will be provided.

The organizational aspect of data collection for statistical researches is presented in a statistical document.

The hierarchical structure of the document corresponds to the organization of information gathering process. The document represents the model of the environment in the form a of set of parameters that make up the surveillance program, along with the set of possible values for each of them. This set is classified according to the unity of time and place of observation,.

In the case of formalizing a document an analytical model is created that allows variety of processing techniques to be applied to the information collected on its basis.

The formalization of the document is also important because its structure makes possible to plan the structure of information space, where data are placed.

In [1] a formalized model of the document is presented in the notation of UML. In this model the textual part of a document is separated from its geometrical structure, and is described separately from it.

This means that the same document bay be stored in different languages, while the data, collected on its basis will be stores in a single copy.

In the given model of document, each component of it, including lowest one � the sell, receives a classification code, called a Coordinate Index (CI). CI clearly defines the position of given component of document and can be used to refer to an element of data afterwards. For this reason the data warehouse is supported by a hierarchy of indices [2]. The data model obtained, being homogeneous, has advantages before known structures usually used to build dimensional models.

The subsystem for collecting, storing and reusing information includes the following functions:

� The construction of the model of a subject area and its representation in the form of an electronic document;

� Collection of information with possibility of its multiple reuse (data warehouse);

� Some tools for information retrieve.

FUNCTIONAL COMPLEXES Functional complexes are service components,

organized as independent software units. By means of them the user has ability to request execution of various functions of data processing. Among the functional complexes we mention:

� Interpretation of algebraic and logical expressions;

� Solving of algebraic equations; � Ordering according given hierarchy of

parameters;

� Identification on the basis of the cipher of unit of observation;

� Analysis of variance. Functional complexes are managed by so called orders .

Those are regular expressions, composed on the basis of certain grammar [3]. CIs of sells are the operands of those constructions.

TECHNOLOGY FOR DESIGNING USER APPLICATIONS Technology for designing user applications provides

the user with a mechanism of building applications on the basis of functional complexes. The user has the opportunity to write a script for applications using appropriate functional complexes . There is also a Scheduler, providing optimal sequence of orders for each functional complex.

Among the simplest user applications the calculation if indicators, monitoring the consistency of the data, statistical analysis, problems of operations research, the study of cause-effect relationships � data mining, etc. may be mentioned .

With their help you can build a variety of data processing systems. A wide range of opportunities is covered, including both the so-called routine data processing tasks (e-government, financial accounting, managerial accounting, etc.) as well as the problems related to the traditional functions of management information system, strategic planning, virtual modeling, etc.

CONCLUSION Thus we have a service-oriented solution providing the

user by tools for building different data processing systems on different level of social and economical hierarchy. The entire lifecycle of information resource is covered and user may construct information space where this resource would be gradually gathered and used by all stakeholders as global asset and the condition for sustainable development.

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[2] {V� |�����6� �V� }~��~������6� �V� }����V� ���� ���� ����� � ������� ������������ ���������QV������������ ��V�}�������������� {��������� �Computational Mathematics of Georgian SSR Academy of Sciences, pp. 45-50, Tbilisi, 1986. �. #���%�, ^. ��+��"!���, �. ��7��V� ��?�����/� /�%���� �+������� ��*�/��%�!� !� 8�/�%�� ���Q6� ^+������7%�%�%��!�>�7��%��&��K�/�%�/�%�*���/V��. ��7����"!��� ���#���6�7%+V�`�-�\6�^?���7�6�����V

[3] |V� |�����V� �������� � ���������� ���� ���� ~�~�����~�� �� �~����space for ��~���~���~��~�~������������Q������������6��������6�_\\��#. #���%�. ��+�?��/� 8�7%+����� �����$� ����+/�=�����$� 8+�7%+��7%!� �8+�!����� �+$���<�=��KQ����77�+%�=�� ���7��7*�����7%�8����*������%��%����>�7*������*V�^?���7�, 2006.