IAIC Transactions on Sustainable Digital Innovation (ITSDI)
Vol 4 No 2 (2023): April

Knowledge Base Reuse With Frame Representation In Artificial Intelligence Applications

Avraam Ledentsov (St Petersburg University)



Article Info

Publish Date
18 Mar 2023

Abstract

The creation and upkeep of knowledge bases have emerged as the primary issue in artificial intelligence development. The knowledge domain is expanding, and application interoperability is urgently demanded. To accommodate this modification, the knowledge base, which serves as the foundation of the artificial intelligence architecture, must be updated. XML (extensible markup language), RDF (resources description framework), DAML (DARPA agent markup language), OIL (ontology inference layer), and OKBC are just a few of the standards that have been introduced as a result of the development of the internet (Open Knowledge-Base Connectivity). One type of knowledge representation that can store information and facts about a subject is frame-based representation. The OKBC, which can help with knowledge base interoperability, supports this approach. In this work, the main issues covered are the comprehension and fundamentals of knowledge base creation with frame representation. To better understand how frame representation functions as a reusable component, a case study from a news publication were used as an example.

Copyrights © 2023






Journal Info

Abbrev

itsdi

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Library & Information Science Materials Science & Nanotechnology

Description

IAIC Transactions on Sustainable Digital Innovation (ITSDI e-ISSN : 2715-0461 , p-ISSN : 2686-6285 ) managed by Indonesian Association on Informatics and Computing (IAIC) and supported by Alphabet Incubator . ITSDI provides media to publish scientific articles from scholars and experts around the ...