ALGORITHMIZATION OF SEARCH OPERATIONS IN MULTIAGENT INFORMATION-ANALYTICAL SYSTEMS

The exponential growth in the number of data sources and data on the Internet leads to necessary selection of optimal searching engines for data collection that corresponds to user's request. The task to create searching algorithms lies primarily in the decomposition of data types, selection of...

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Bibliographic Details
Published in:Journal of Theoretical and Applied Information Technology 2015-11, Vol.81 (1), p.11-11
Main Authors: Ananieva, Anastasia Gennadievna, Artamonov, Alexey Anatolievich, Galin, Ilya Urievich, Tretyakov, Evheniy Sergeyevich, Kshnyakov, Dmitry Olegovich
Format: Article
Language:English
Subjects:
Algorithms
Engines
Information sources
Internet
Multiagent systems
Nanotechnology
Retrieval
Searching
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Summary:The exponential growth in the number of data sources and data on the Internet leads to necessary selection of optimal searching engines for data collection that corresponds to user's request. The task to create searching algorithms lies primarily in the decomposition of data types, selection of appropriate information sources and adjustment of searching engines (usage of specific syntax) for collection of large amounts of data from reliable sources. Since 2008 at the department "Analysis of competitive systems" NRNU MEPhI are held activities on setting up specific agent-based searching systems and creation of unique searching algorithms and techniques for analyzing the output technological developments related to advances in the area of scientific and technological sciences. In particular, the resource cluster was collected and thesauruses were compiled on such advanced scientific fields as "Plasma physics", "Nanotechnology" and "Laser technology".This article describes the algorithms, approaches and methods of data search retrieval from the Internet that are developing and testing at the department No65 "Analysis of competitive systems" NRNU MEPhI under the "multi-agent information and analytical systems in the area of scientific and technology science" MIAS [1].
ISSN:1817-3195