Abstract
In this chapter we illustrate our vision about the evolution of search engines, dealing with some emerging questions related to the social role of the user on the Web and to the actual approach to access the information. In this scenario, is ever more evident the need to redefine the information paradigm bringing the information to the user and not more the user to the information, with search engines able to provide results without direct questions from users, anticipating their needs. A Web in service of the user, automatically informed by the system with suggested resources related with his life style and his common behavior without the need to ask for them. This approach will be applied to a project named A Semantic Search Engine for a Business Network where the development of a business network creates a point of contact between the academic and the research world and the productive one by the introduction of Natural Language Processing, user profiling, automatic information classification according to users’ personal schemas, contributing in such a way to redefine the vision of information and delineating processes of Human-Machine Interaction.
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Angioni, M., De Vita, E., Lai, C., Marcialis, I., Paddeu, G., Tuveri, F.G. (2011). Rethinking Search Engines in Social Network Vision. In: Pallotta, V., Soro, A., Vargiu, E. (eds) Advances in Distributed Agent-Based Retrieval Tools. Studies in Computational Intelligence, vol 361. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21384-7_1
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DOI: https://doi.org/10.1007/978-3-642-21384-7_1
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