Proceedings of ISP RAS


Information Retrieval and Analysis for a Modern Organization

A.R. Topchyan (YSU, Yerevan, Armenia)

Abstract

With the growing volume and demand for data a major concern for an Organization is to discover what data there actually is, what it contains and how it is being used and by who. The amount of data and the disparate systems used to handle this data increase in their number and complexity every year and unifying these systems becomes more and more complex. In this work we describe an Intelligent search engine system, specifically designed to tackle the problem of information retrieval and sharing in a large multifaceted organization, that already has many systems in place for each Department, which is an integral part of a joint Operational Data Platform(ODP) for data exploration and processing.

Keywords

data-driven projects; information retrieval; streaming processing; mesos; kafka

Edition

Proceedings of the Institute for System Programming, vol. 28, issue 4, 2016, pp. 7-28.

ISSN 2220-6426 (Online), ISSN 2079-8156 (Print).

DOI: 10.15514/ISPRAS-2016-28(4)-1

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