Abstract
The amount of on-line available open information from heterogeneous sources and domains is growing at an extremely fast pace, and constitutes an important knowledge base for the consideration of industries and companies. In this context, two relevant data providers can be highlighted: the “Linked Open Data” and “SocialMedia” paradigms. The fusion of these data sources – structured the former, and raw data the latter –, along with the information contained in structured corporate databases within the organizations themselves, may unveil significant business opportunities and competitive advantage to those who are able to understand and leverage their value. In this paper, we present a use case that represents the creation of an existing and potential customer knowledge base, exploiting social and linked open data based on which any given organization might infer valuable information as a support for decision making. In order to achieve this a solution based on the synergy of big data and semantic technologies will be designed and developed. The first will be used to implement the tasks of collection and initial data fusion based on natural language processing techniques, whereas the latter will perform semantic aggregation, persistence, reasoning and retrieval of information, as well as the triggering of alerts over the semantized information.
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Torre-Bastida, A.I., Villar-Rodriguez, E., Del Ser, J., Gil-Lopez, S. (2015). Semantic Information Fusion of Linked Open Data and Social Big Data for the Creation of an Extended Corporate CRM Database. In: Camacho, D., Braubach, L., Venticinque, S., Badica, C. (eds) Intelligent Distributed Computing VIII. Studies in Computational Intelligence, vol 570. Springer, Cham. https://doi.org/10.1007/978-3-319-10422-5_23
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DOI: https://doi.org/10.1007/978-3-319-10422-5_23
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