Capturing Evolutional Knowledge Using Time Interval Tracing

Autor:	Shian-Shyong Tseng, Chia-Wen Teng, Shun-Chieh Lin
Rok vydání:	2007
Předmět:	Human-Computer Interaction Artificial Intelligence Computer science Interval (graph theory) Computer Vision and Pattern Recognition Data mining Tracing computer.software_genre computer Knowledge acquisition Expert system
Zdroj:	Journal of Advanced Computational Intelligence and Intelligent Informatics. 11:373-380
ISSN:	1883-8014 1343-0130
DOI:	10.20965/jaciii.2007.p0373
Popis:	Knowledge acquisition is a critical bottleneck in building a knowledge-based system. Much research and many tools have been developed to acquire domain knowledge with embedded rules that may be ignored in constructing the initial prototype. Due to different backgrounds and dynamic knowledge changing over time, domain knowledge constructed at one time may be degraded at any time thereafter. Here, we propose knowledge acquisition, called enhanced embedded meaning capturing under uncertainty deciding (enhanced EMCUD), which constructs a domain ontology and traces information over time to efficiently update time-related domain knowledge based on the current environment. We enrich the knowledge base and ease the construction of domain knowledge that changes with times and the environment.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::74e8141720bf0e657e848288f7c1688b https://doi.org/10.20965/jaciii.2007.p0373 Zobrazit plný text záznamu