Open AccessConceptual framework of intelligent decision support based on user digital life traces and ontology-based user categorisation
Author(s) -
Tatiana Levashova,
Alexander Smirnov,
Mikhail Pashkin,
Andrew Ponomarev
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1801/1/012005
Subject(s) - ontology , categorization , computer science , context (archaeology) , inference , conceptual framework , conceptual model , information retrieval , human–computer interaction , world wide web , artificial intelligence , database , paleontology , philosophy , epistemology , biology
The paper presents conceptual framework and information model of intelligent decision support based on traces of user digital lives and ontology-based user categorisation. The conceptual framework defines components that provide information revealed from the traces of user digital lives, generalize this information, and make ontology inference. The information model defines information flows between the components of the conceptual framework. The novelties of this research are grouping users with common preferences and decision making behaviours based on the user digital traces, and context-sensitive ontology-based categorization of users into the user groups.