Process Productivity Improvements through Semantic and Linked Data Technologies
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Process Productivity Improvements through Semantic and Linked Data Technologies
Author(s):
Eito Brun, Ricardo
Advisor(s):
Gómez Berbís, Juan Miguel
Amescua Seco, Antonio de
Tutor:
Gómez Berbís, Juan Miguel
Department/Institute:
UC3M. Departamento de Informática
Degree:
Programa de Doctorado en Ciencia y Tecnología Informática por la Universidad Carlos III de Madrid
Issued date:
2022-02
Defense date:
2022-04-28
Committee:
Presidente: José María Álvarez Rodríguez.- Secretario: Rafael Valencia García.- Vocal: Alejandro Rodríguez González
Has part:
https://doi.org/10.1007/s00766-016-0256-4
https://doi.org/10.1109/TPC.2017.2788678
https://doi.org/10.1016/j.asr.2021.05.026
Keywords:
Semantic web , Software engineering , Knowledge organization , Data exchange , Information modeling
URI:
http://hdl.handle.net/10016/35985
Rights:
Atribución-NoComercial-SinDerivadas 3.0 España
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Process Productivity Improvements through Semantic and Linked Data Technologies
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