Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/82733
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Type: Conference paper
Title: Towards an efficient sales pitch with the Web of Things
Author: Mathew, S.
Atif, Y.
Sheng, Q.
Maamar, Z.
Citation: Proceedings: 2013 IEEE 10th International Conference on e-Business Engineering: ICEBE 2013 / A. James, X. Fei, K.-M. Chao, J.-Y. Chung (eds.): pp.377-384
Publisher: IEEE
Publisher Place: United States
Issue Date: 2013
Series/Report no.: International Conference on e-Business Engineering
ISBN: 9780769551111
Conference Name: International Conference on e-Business Engineering (10th : 2013 : Coventry, United Kingdom)
Editor: James, A.
Fei, X.
Chao, K.M.
Chung, J.Y.
Statement of
Responsibility: 
Sujith Samuel Mathew, Yacine Atif, Quan Z. Sheng, Zakaria Maamar
Abstract: New innovations in the Web of Things (WoT) and the use of the social Web in business scenarios are paving the path for 'real-world commodities' or things to inherently sell themselves to potential customers on the Web. An important challenge to realize this vision of personalized sales initiated by things is the adoption of massive instances of potential things into the virtual world. We show in this paper how this issue is alleviated by creating community of things. We describe how the presentation of things on the Web as Web Smart things supports such synergies. We also describe how a cluster of things represented as Ambient Spaces (AS) increases the possibility of identifying potential customers on the social Web. The community framework is used to drive things into populating the Web to reach relevant customer profiles leading to friendships with things and people, which could nurture future adoptions and purchase opportunities. Hence, these social relationships between people and physical commodities are exploited to elevate their value, promote adoption and induce an opportunistic commercial transaction.
Keywords: Web of Things
Social Web of Things
Community of Things
Emergent Semantics
Rights: © 2013 IEEE
DOI: 10.1109/ICEBE.2013.58
Published version: http://dx.doi.org/10.1109/icebe.2013.58
Appears in Collections:Aurora harvest
Computer Science publications

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