Approach for development of engineering tools based on knowledge graphs and context separation

Nikita Debelov, Petr Mukhachev, Anton Ivanov

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    During the development of complex multidisciplinary systems, engineers often have problems associated with the complexity of a target system and interactions of different groups of engineers and subcontractors. In potential, besides engineers and subcontractors, the new agents can participate in such interactions, like AGI. This paper presents ideas on how to develop engineering tools based on knowledge graphs to manage this complexity. This paper proposes the approach to make possible to agents that have different cognition contexts understand each other and a simple data format of context separation. At the end of the article, we have tried to show the example of how this approach can be applied to make a tool that uses engineering data in the proposed format.

    Original languageEnglish
    Title of host publicationArtificial General Intelligence - 13th International Conference, AGI 2020, Proceedings
    EditorsBen Goertzel, Alexey Potapov, Aleksandr I. Panov, Roman Yampolskiy
    PublisherSpringer
    Pages54-62
    Number of pages9
    ISBN (Print)9783030521516
    DOIs
    Publication statusPublished - 2020
    Event13th International Conference on Artificial General Intelligence, AGI 2020 - St. Petersburg, Russian Federation
    Duration: 16 Sep 202019 Sep 2020

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume12177 LNAI
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference13th International Conference on Artificial General Intelligence, AGI 2020
    Country/TerritoryRussian Federation
    CitySt. Petersburg
    Period16/09/2019/09/20

    Keywords

    • Engineering Systems Graph
    • Knowledge graph
    • PDM
    • Semantics

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