2002 | OriginalPaper | Buchkapitel
Optimization of Association Word Knowledge Base through Genetic Algorithm
verfasst von : Su-Jeong Ko, Jung-Hyun Lee
Erschienen in: Data Warehousing and Knowledge Discovery
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Query expansion in knowledge based on information retrieval system requires knowledge base being considered semantic relations between words. Since Apriori algorithm extracts association word without taking user preference into account, recall is improved but accuracy is reduced. This paper shows how to establish optimized association word knowledge base with improved accuracy only including association word that users prefer among association words being considered semantic relations between words. Toward this end, web documents related to computer are classified into eight classes, and nouns are extracted from web document of each class. Association word is extracted from nouns through Apriori algorithm, and association word that users do not favor is excluded from knowledge base through genetic algorithm.