Ontology Representation of Online Shopping Customers Knowledge in Enterprise Information

Abstract

The online shopping has become a regular way of shopping, enterprises should conduct in-depth mining of online shopping customers knowledge, and build customer knowledge base, so as to better meet customers needs. This paper constructs online shopping customers knowledge ontology model, and studies the knowledge representation based on the protégé environment.

Ontology Sparse Vector Learning Based on Accelerated First-Order Method

“…On the condition of technology for stable semantic measurement, a graph derivation representation which is based on trick for stable semantic measurement is proposed by Ma et al, [6]. Later, Li et al, [7] contributed to pointing out an ontology representation method which can be used for online shopping customers knowledge in enterprise information. Santodomingo et al, [8] explained a creative ontology matching system.…”

Gradient Learning Algorithms for Ontology Computing

“…Ma et al [ 6 ] presented a graph derivation representation based technology for stable semantic measurement. Li et al [ 7 ] raised an ontology representation method for online shopping customers knowledge in enterprise information. Santodomingo et al [ 8 ] proposed an innovative ontology matching system that finds complex correspondences by processing expert knowledge from external domain ontologies and in terms of using novel matching tricks.…”