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  • About
    • The mission
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    • People who are involved
    • External Advisory Board
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    • HPC4AI – Intelligenza Artificiale e Big Data: opportunità e servizi al Politecnico
    • 6th SmartData@Polito Workshop
    • Computing@PoliTO Workshop
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    • Is Natural Language Processing the Holy Grail of Artificial Intelligence?
    • Uncertainty damping in the macroscopic forecast of vehicular traffic flow
    • Information Exposure for Consumer IoT Devices: A Multidimensional, Network-Informed Measurement Approach
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    • Courses for PhD students
    • PhD Course: Data Science for Networks
    • Corporate training on Digital Transformation
    • PhD Course: Introduction to Random Matrices – Theory and Practice
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    • open position – Assistant Professor with time contract (RTD-A)
    • open position – PostDoc researchers
    • Open position – Technologist
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Home » Publications » A Quality Assessment Approach for Evolving Knowledge Bases

A Quality Assessment Approach for Evolving Knowledge Bases

MOHAMMAD RIFAT AHMMAD Rashid, Marco Torchiano, Giuseppe Rizzo, Nandana Mihindukulasooriya, Oscar Corcho (2019) A Quality Assessment Approach for Evolving Knowledge Bases, In: SEMANTIC WEB, pp. 349-383, ISSN: 2210-4968

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