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SERREA: A Semantic Management System for Retail Real Estate Agencies

SERREA: A Semantic Management System for Retail Real Estate Agencies

Ángel García-Crespo, Ricardo Colomo-Palacios, Juan Miguel Gómez-Berbís, Fernando Paniagua Martín
Copyright: © 2012 |Pages: 15
ISBN13: 9781466600447|ISBN10: 1466600446|EISBN13: 9781466600454
DOI: 10.4018/978-1-4666-0044-7.ch008
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MLA

García-Crespo, Ángel, et al. "SERREA: A Semantic Management System for Retail Real Estate Agencies." Advancing the Service Sector with Evolving Technologies: Techniques and Principles, edited by John Wang, IGI Global, 2012, pp. 120-134. https://doi.org/10.4018/978-1-4666-0044-7.ch008

APA

García-Crespo, Á., Colomo-Palacios, R., Gómez-Berbís, J. M., & Martín, F. P. (2012). SERREA: A Semantic Management System for Retail Real Estate Agencies. In J. Wang (Ed.), Advancing the Service Sector with Evolving Technologies: Techniques and Principles (pp. 120-134). IGI Global. https://doi.org/10.4018/978-1-4666-0044-7.ch008

Chicago

García-Crespo, Ángel, et al. "SERREA: A Semantic Management System for Retail Real Estate Agencies." In Advancing the Service Sector with Evolving Technologies: Techniques and Principles, edited by John Wang, 120-134. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-0044-7.ch008

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Abstract

In the scenario of market competition in the Retail Real Estate Agencies (RREA) business, having exact information regarding properties in supply and their associated demand is a differentiating factor for organizations. The Semantic Web represents an opportunity to create extensible services that hold precise information concerning these types of markets. The objective of the current initiative is to use this market data as a competitive advantage for organizations. In this article, the authors propose SERREA, a management system for RREA based on semantics and constructed using Web Services, which has been implemented successfully in one of the leading agencies in Spain. The goal of this paper is to show how RREA benefits from using Semantic Technologies in the context of their business operations.

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