Semantic Tagging for Large-scale Content Management

Date

2008-01-05

Advisors

Journal Title

Journal ISSN

ISSN

Volume Title

Publisher

IEEE

Type

Conference

Peer reviewed

Yes

Abstract

Knowledge incorporation is one challenge in e- Commerce automated negotiation. In this paper, we describe a model of B2B negotiation using knowledge. We classify the types of knowledge namely general knowledge and negotiation knowledge, in the negotiation process. A methodology that uses knowledge bead (KB) and meta-KB as knowledge representation that would be suitable for the design of automated negotiation systems is discussed. An experimental prototype demonstrates that by incorporating knowledge into automated negotiation yields improved results.

Description

Keywords

Tagging, Large-scale systems, Content management, Ontologies, Collaboration, Mashups,

Citation

Chen L., Roberts C., Semantic Tagging for Large-scale Content Management, Proceedings of The 2007 IEEE/WIC/ACM International Conference on Web Intelligence, IEEE Computer Society, pp.478-481, DOI: 10.1109/WI.2007.119, 2007

Rights

Research Institute