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Titlebook: Computational Intelligence for Semantic Knowledge Management; New Perspectives for Giovanni Acampora,Witold Pedrycz,Autilia Vitiello Book 2

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https://doi.org/10.1007/3-540-29557-7extract potentially useful knowledge is becoming every day more challenging. The focus of this chapter is on describing techniques for knowledge representation and management of Web and social media data by semantic information modeling. Specifically, the following methods exploiting semantic inform
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Empirical Evidence on Long-Term Competition,rging paradigm of the Internet of Things. In spite of their key capability of providing an abstract representation of the information captured by different sources, the variety of ways that a domain can be conceptualized results in the development of heterogeneous ontologies with overlapping parts.
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https://doi.org/10.1007/978-1-349-26670-8ical disorder exhibit wide deviations for different instances. In presence of two or more gestural features, the variation of the attributes together makes the problem of physical disorder recognition more convoluted. This fluctuation is the main source of uncertainty in the physical disorder recogn
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Eric Wolffl its end exhaustion processesdominate there. A comparison of the data collected on the loaded and non-loaded plots withineach test revealed that on the loaded plot the top layer was mostly wetter throughout thegrowth period whereas its deeper layers were drier than those of the non-loaded plot..Bey
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https://doi.org/10.1007/978-3-031-05014-5artificial intelligence; communication channels (information theory); communication systems; computer n
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