The paper discusses the problem of building a comprehensive information retrieval system that facilitates the decision making process in the specified wide topic. We analyze the requirements to such a system, types of information sources, 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 present, including vibrant topics and typical associations between entities.
PDF at the Institute for Systems Analysis of Russian Academy of Sciences website (in Russian): http://www.isa.ru/aidt/images/documents/2016-01/37_46.pdf
Artificial Intelligence and Decision Making magazine: http://www.aidt.ru/index.php?option=com_content&view=article&id=710&lang=en
Devyatkin D. A., Suvorov R. E., Sochenkov I. V. Information Retrieval System for Decision Support: Arctic-related Mass Media Case Study // Artificial intelligence and decision-making. 2016. № 1. Page 37-46