Title :
Post-controlled vocabulary compiling in competitive intelligence system
Author :
Jin, Li ; Yan, Dong
Author_Institution :
Coll. of Inf., Beijing Union Univ., Beijing, China
Abstract :
It is necessary to build a competitive intelligence system (CIS) for the enterprise to make a timely and suitable strategic decision. So this paper designs a CIS based on Internet for the small and medium-size enterprises, providing intelligent retrieval, personalized services and so on. Furthermore in order to improve the efficiency of the retrieval, it gives a method of controlled vocabulary compiling based on ontology by analysis their relations. A comparative experiment on document retrieval in the CIS shows that post-controlled technology can retrieval efficiency significantly.
Keywords :
competitive intelligence; information retrieval; ontologies (artificial intelligence); small-to-medium enterprises; automatic indexing; competitive intelligence system; full-text retrieval; ontology; post-controlled vocabulary compiling; small and medium-size enterprises; Automatic control; Competitive intelligence; Computational Intelligence Society; Decision making; Deductive databases; Information analysis; Information retrieval; Machine assisted indexing; Ontologies; Vocabulary; automatic indexing; competitive intelligence system (CIS); full-text retrieval; ontology; post-controlled vocabulary;
Conference_Titel :
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5263-7
Electronic_ISBN :
978-1-4244-5265-1
DOI :
10.1109/ICIME.2010.5478217