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.
DOI: http://dx.doi.org/10.3103/S0147688217050033
Semantic Scholar: https://api.semanticscholar.org/CorpusID:43397780
Devyatkin D. A., Suvorov R. E., Sochenkov I. V. An Information Retrieval System for Decision Support: An Arctic-Related Mass Media Case Study // Scientific and Technical Information Processing. – 2017. – Т. 44. – №. 5. – С. 329-337