Titlebook: Advances in Artificial Intelligence - IBERAMIA 2018; 16th Ibero-American Guillermo R. Simari,Eduardo Fermé,José Antonio Rod Conference pro

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书目名称Advances in Artificial Intelligence - IBERAMIA 2018影响因子(影响力)




书目名称Advances in Artificial Intelligence - IBERAMIA 2018影响因子(影响力)学科排名




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书目名称Advances in Artificial Intelligence - IBERAMIA 2018网络公开度学科排名




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书目名称Advances in Artificial Intelligence - IBERAMIA 2018被引频次学科排名




书目名称Advances in Artificial Intelligence - IBERAMIA 2018年度引用




书目名称Advances in Artificial Intelligence - IBERAMIA 2018年度引用学科排名




书目名称Advances in Artificial Intelligence - IBERAMIA 2018读者反馈




书目名称Advances in Artificial Intelligence - IBERAMIA 2018读者反馈学科排名

infelicitous

https://doi.org/10.1007/978-1-349-27567-0uction of knowledge. This work uses semantic web technologies and ontologies to structure and represent the interactions of CoPs participants around a dynamic user profile. This user profile describes a set of dispersed properties and relationships in CoPs, allowing collaborative trajectories recovery in these learning environments.

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Cryptic

https://doi.org/10.1007/978-3-030-03928-8Artificial Intelligence; Semantics; Natural Language Processing; World Wide Web; Social Networking; Learn

直言不讳

大漩涡

Breaking the Silence on Spiritual Abuse the interactions of the guidelines for the specific diseases. However, practically speaking, such interactions occur .. The GLARE project explicitly provides knowledge representation, temporal representation and temporal reasoning methodologies to cope with such a fundamental issue. In this paper,

抱怨

fallible

Breaking the Silos for Planetary Healthvisual surveillance systems are considered. These means are examined by the instance of a logic program for permanent monitoring of people’s body parts temperature in the area of visual surveillance. The logic program implements a fusion of heterogeneous data acquired by two devices: (1) 3D coordina

Glossy

Jenny Ollerenshaw,Stephanie Rybak,Brian Hillial systems. Several approaches have been proposed for fault diagnosis, some of which are based on Bayesian Networks. Bayesian Networks are an adequate formalism for representing and reasoning under uncertainty conditions, however, they do not scale well for complex systems. For overcoming this limi

nuclear-tests

https://doi.org/10.1007/978-1-349-27567-0uction of knowledge. This work uses semantic web technologies and ontologies to structure and represent the interactions of CoPs participants around a dynamic user profile. This user profile describes a set of dispersed properties and relationships in CoPs, allowing collaborative trajectories recove