Ergebnisse für: semantic datasets

Hier findest Du Bücher, die sich mit semantic datasets beschäftigen.

Buch Cover Computational History and Data-Driven Humanities
This book constitutes the refereed post-proceedings of the Second IFIP WG 12.7 International Workshop on Computational History and Data-Driven Humanities, held in Dublin, Ireland, in May 2016.The 7 full papers presented together with 2 invited talks and 4 lightning talks were carefully reviewed and ...
Buch Cover New Challenges for Data Design
The present work provides a platform for leading Data designers whose vision and creativity help us to anticipate major changes occurring in the Data Design field, and pre-empt the future. Each of them strives to provide new answers to the question, “What challenges await Data Design?” To avoid ...
Buch Cover Computational History and Data-Driven Humanities
This book constitutes the refereed post-proceedings of the Second IFIP WG 12.7 International Workshop on Computational History and Data-Driven Humanities, held in Dublin, Ireland, in May 2016.The 7 full papers presented together with 2 invited talks and 4 lightning talks were carefully reviewed and ...
Buch Cover Information Search, Integration and Personalization
This book constitutes the refereed post-proceedings of the 9th International Workshop on Information Search, Integration and Personalization, ISIP 2014, held in Kuala Lumpur, Malaysia, in October 2014. The 6 revised full papers and one invited papers presented were carefully reviewed and selected fr...
Buch Cover Conceptual Modeling - ER 2009
Conceptual modeling has long been recognized as the primary means to enable software development in information systems and data engineering. Conceptual modeling provides languages, methods and tools to understand and represent the application domain; to elicit, conceptualize and formalize system re...
Buch Cover Artificial Intelligence and Cognitive Science
This book constitutes the proceedings of the 33rd Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2025, held in Dublin, Ireland, during December 1–2, 2025. The 33 full papers presented in these proceedings were carefully reviewed and selected from 122 submissions. These pap...
Buch Cover Information Search, Integration and Personalization
This book constitutes the refereed post-proceedings of the 9th International Workshop on Information Search, Integration and Personalization, ISIP 2014, held in Kuala Lumpur, Malaysia, in October 2014. The 6 revised full papers and one invited papers presented were carefully reviewed and selected fr...
Buch Cover New Challenges for Data Design
The present work provides a platform for leading Data designers whose vision and creativity help us to anticipate major changes occurring in the Data Design field, and pre-empt the future. Each of them strives to provide new answers to the question, “What challenges await Data Design?” To avoid ...
Buch Cover Conceptual Modeling - ER 2009
Conceptual modeling has long been recognized as the primary means to enable software development in information systems and data engineering. Conceptual modeling provides languages, methods and tools to understand and represent the application domain; to elicit, conceptualize and formalize system re...
Buch Cover Computational History and Data-Driven Humanities
This book constitutes the refereed post-proceedings of the Second IFIP WG 12.7 International Workshop on Computational History and Data-Driven Humanities, held in Dublin, Ireland, in May 2016.The 7 full papers presented together with 2 invited talks and 4 lightning talks were carefully reviewed and ...
Buch Cover Artificial Intelligence and Cognitive Science
This book constitutes the proceedings of the 33rd Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2025, held in Dublin, Ireland, during December 1–2, 2025. The 33 full papers presented in these proceedings were carefully reviewed and selected from 122 submissions. These pap...
Buch Cover New Challenges for Data Design
The present work provides a platform for leading Data designers whose vision and creativity help us to anticipate major changes occurring in the Data Design field, and pre-empt the future. Each of them strives to provide new answers to the question, “What challenges await Data Design?” To avoid ...

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