Title :
The Product Knowledge Base of B2B e-Business Based on Ontology
Author :
Zhuo, Chen ; Bing-ru, Yang ; Lin-na, Li ; Fa-guo, Zhou ; Yun-feng, Zhao
Author_Institution :
Sch. of Inf. Eng., Univ. of Sci. & Technol. Beijing, Beijing
Abstract :
With the development of B2B E-business especially the vertical search engine, enterprises are provided many conveniences and flexibilities for electronic trading. But it brings the search problem of information heterogeneity and the lack of instructional knowledge. This paper proposed the product knowledge base based on ontology. Firstly, we established the content standards with the classification levels and product attributes. Secondly the concept dictionary of the product is build with the assistance of domain experts. Finally, we achieved the product ontology with the OWL language. The knowledge base provided basic support for the rank of search engine of e-business and information extraction and processing.
Keywords :
electronic commerce; electronic trading; information retrieval; knowledge representation languages; ontologies (artificial intelligence); search engines; B2B E-business; OWL language; classification level; electronic trading; information extraction; information processing; ontology; product attributes; product knowledge base; vertical search engine; knowledge base. ontology. search engine. B2B e-business;
Conference_Titel :
Information Science and Engineering, 2008. ISISE '08. International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-2727-4
DOI :
10.1109/ISISE.2008.162