ISSN 1991-2927
 

ACP № 1 (63) 2021

Author: "Anastasiia Vladimirovna Vodovozova"

Aleksei Aleksandrovich Filippov, Ulyanovsk State Technical University, Candidate of Engineering; Associate Professor at the Department of Information Systems of Ulyanovsk State Technical University; graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University; an author of articles in the field of intelligent systems for data storage and processing. [e-mail: al.filippov@ulstu.ru]A. Filippov,

Anastasiia Vladimirovna Vodovozova, Ulyanovsk State Technical University, Candidate for the Master’s Degree at the Department of Information Systems of Ulyanovsk State Technical University; graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University; an author of articles in the field of intelligent systems for data storage and processing. [e-mail: nastyavodovozova@mail.ru]A. Vodovozova,

Svetlana Aleksandrovna Makarova, Ulyanovsk State Technical University, Candidate for the Master’s Degree at the Department of Information Systems of Ulyanovsk State Technical University; graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University; an author of articles in the field of intelligent systems for data storage and processing. [e-mail: makarovasvetlana2025@gmail.com]S. Makarova,

Denis Olegovich Shalaev, Ulyanovsk State Technical University, Candidate for the Master’s Degree at the Department of Information Systems of Ulyanovsk State Technical University; graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University; an author of articles in the field of intelligent systems for data storage and processing. [e-mail: melges@post.ru]D. Shalaev

Constructing the Fuzzy Domain-specific Knowledge Base on the Basis of Context Analysis 000_12.pdf

The paper discovers the ontology model of the fuzzy domain-specific knowledge base (KB) that allows describing the domain-specific ontology (DSO) according to variety of the DSO contexts. The DSO context is a state of the KB content, which can be selected from a variety of the ontology states. This state is obtained by versioning or organization of the KB content from different points of views. The using of the ontological approach for integration with heterogeneous corporate information resources is also described in the paper. The huge corpora of specialized texts that are connected with the DSO, different types of corporate KB, and wiki-resources are considered as corporate information resources.

Knowledge base, corporate information resources, ontology, context, problem area.

2016_ 4

Sections: Artificial intelligence

Subjects: Artificial intelligence.


© FRPC JSC 'RPA 'Mars', 2009-2018 The web-site runs on Joomla!