DOI

The article describes a process of designing software for the aggregation of data (macroeconomic and statistical indicators) from distributed heterogeneous sources and their analysis based on the previously developed ontology of innovation activity and economic potential. The software includes a data aggregation system (supporting the user’s markup process of PDF, HTML, and XLS documents and texts for further automated collection), an ontology automatic replenishment system and a system of semantic search for data subsets according to certain criteria.

Original languageEnglish
Title of host publicationIntelligent Computing Proceedings of the 2019 Computing Conference
Subtitle of host publicationProceedings of the 2019 Computing Conference
EditorsKohei Arai, Rahul Bhatia, Supriya Kapoor
PublisherSpringer Nature
Pages157-165
Volume2
ISBN (Print)9783030228675
DOIs
StatePublished - 2019
EventComputing Conference, 2019 - London, United Kingdom
Duration: 16 Jul 2019 → 17 Jul 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume998
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceComputing Conference, 2019
Country/TerritoryUnited Kingdom
CityLondon
Period16/07/19 → 17/07/19

    Research areas

  • Algorithm, Data collection, Methodology, Ontology

    Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

ID: 46301992