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SERREA: A Semantic Management System for Retail Real Estate Agencies

Author

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  • Ángel García-Crespo

    (Universidad Carlos III de Madrid, Spain)

  • Ricardo Colomo-Palacios

    (Universidad Carlos III de Madrid, Spain)

  • Juan Miguel Gómez-Berbís

    (Universidad Carlos III de Madrid, Spain)

  • Fernando Paniagua Martín

    (Universidad Carlos III de Madrid, Spain)

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.

Suggested Citation

  • Ángel García-Crespo & Ricardo Colomo-Palacios & Juan Miguel Gómez-Berbís & Fernando Paniagua Martín, 2010. "SERREA: A Semantic Management System for Retail Real Estate Agencies," International Journal of Information Systems in the Service Sector (IJISSS), IGI Global, vol. 2(2), pages 33-47, April.
    • Handle: RePEc:igg:jisss0:v:2:y:2010:i:2:p:33-47
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