DocumentCode
2739538
Title
E-Commerce Customer Feature Extraction based on Ontology
Author
Li Nan ; Chen Yan
Author_Institution
Dalian Maritime Univ., Dalian
fYear
2007
fDate
5-7 Sept. 2007
Firstpage
415
Lastpage
415
Abstract
In this paper, we develop an ontology-based customer feature extraction method in e-commerce environment. We define e-commerce customer ontology using the term constructors of ontology and demonstrate description logics to construct a semantic-oriented model. The framework of customer information integration is provided to support the query structure. Then, we build a customer ontology and develop a method and process for e-business customer features query and extraction using both query extension and query reconstruction based on it. The method is demonstrated by an example and notable results have been obtained that provides a new way to analyze the customers´ features pattern especially those who trade on internet.
Keywords
customer relationship management; electronic commerce; ontologies (artificial intelligence); query processing; customer information integration; description logics; e-business customer features query; e-commerce customer ontology; ontology-based customer feature extraction; query extension; query reconstruction; semantic-oriented model; Data mining; Educational institutions; Electronic commerce; Feature extraction; Independent component analysis; Logic; Natural languages; Ontologies; Principal component analysis; Transportation;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
Conference_Location
Kumamoto
Print_ISBN
0-7695-2882-1
Type
conf
DOI
10.1109/ICICIC.2007.277
Filename
4428057
Link To Document