Title :
The Research of Personalized Intelligent Information Retrieval System Based on the Domain Ontology about Tea-Worm
Author :
Gaojian, Xu ; Shaowen, Li
Author_Institution :
Sch. of Sci. & Technol., Anhui Agric. Univ., Hefei, China
Abstract :
This document gives a personalized intelligent system to search information based on the domain ontology about tea-worm. It includes three parts: the creation of tea-worm domain ontology; the concept extraction on tea-worm ontology; the achievement of information extraction on tea-worm ontology. To realize this, it used the software of prote¿ge¿ to create ontology about tea-worm. Then it is completed with the information query or extraction about tea worms. It will show the relations of tea worms quickly and precisely.
Keywords :
information retrieval systems; knowledge acquisition; ontologies (artificial intelligence); concept extraction; information extraction; information query; intelligent information retrieval system; personalized intelligent system; search information; tea-worm domain ontology; Artificial intelligence; Computer science; Computer science education; Computer worms; Data mining; Educational technology; History; Information retrieval; Intelligent systems; Ontologies; Concept extraction; Information Search; Ontology; Tea Worm;
Conference_Titel :
Education Technology and Computer Science (ETCS), 2010 Second International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6388-6
Electronic_ISBN :
978-1-4244-6389-3
DOI :
10.1109/ETCS.2010.62