학술논문

A Framework for Knowledgebase Curation using Cognitive Web Architecture
Document Type
Conference
Source
2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) Computing, Communication, and Intelligent Systems (ICCCIS),2021 International Conference on. :125-130 Feb, 2021
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Knowledge engineering
Triples (Data structure)
Knowledge based systems
Computer architecture
Resource description framework
Service-oriented architecture
Task analysis
RDF knowledge graph
knowledgebase
Information Extraction
RDF triples
RDF storage
Language
Abstract
Technologies used in cognitive web architecture such as the Resource Description Framework Knowledge Graph, and other Semantic technologies could well be used to curate the knowledgebase of a knowledge-based system. The paper proposes a framework to automatically abstract unstructured knowledge from the web and curate the knowledge of the system with it.