An Information Retrieval System for Decision Support: An Arctic-Related Mass Media Case Study
- Authors: Devyatkin D.A.1, Suvorov R.E.1, Sochenkov I.V.1
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Affiliations:
- Institute for Systems Analysis, Computer Science and Control Federal Research Center
- Issue: Vol 44, No 5 (2017)
- Pages: 329-337
- Section: Article
- URL: https://journals.rcsi.science/0147-6882/article/view/175278
- DOI: https://doi.org/10.3103/S0147688217050033
- ID: 175278
Cite item
Abstract
This paper discusses the problem of building a comprehensive information retrieval system that facilitates the decision-making process in a specified wide topic. We analyze the requirements for such a system, types of information sources, and typical search queries and propose an architecture and an integrated pipeline. We also present a case study in the field of Arctic exploration (oil & mining, ecology issues, etc.). The results are also presented, including vibrant topics and typical associations between entities.
About the authors
D. A. Devyatkin
Institute for Systems Analysis, Computer Science and Control Federal Research Center
Author for correspondence.
Email: devyatkin@isa.ru
Russian Federation, Moscow, 119333
R. E. Suvorov
Institute for Systems Analysis, Computer Science and Control Federal Research Center
Email: devyatkin@isa.ru
Russian Federation, Moscow, 119333
I. V. Sochenkov
Institute for Systems Analysis, Computer Science and Control Federal Research Center
Email: devyatkin@isa.ru
Russian Federation, Moscow, 119333
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