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Książka Knowledge Engineering and Knowledge Management Paolo Ciancarini

Knowledge Engineering and Knowledge Management

Autor: Paolo Ciancarini, Francesco Poggi, Matthew Horridge, Jun Zhao, Tudor Groza, Mari Carmen Suarez-Figueroa, Mathieu d'Aquin, Valentina Presutti
Język: Angielski
Oprawa: Miękka
Wydawca: Springer International Publishing AG
Dostępność: Dostępna u dostawcy
Wysyłamy za 5-8 dni
212.24 zł
This book contains the best selected papers of two Satellite Events held at the 20th International C...

Informacje o książce

Autor
Paolo Ciancarini, Francesco Poggi, Matthew Horridge, Jun Zhao, Tudor Groza, Mari Carmen Suarez-Figueroa, Mathieu d'Aquin, Valentina Presutti
Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2017
strony
288
EAN
9783319586939
ISBN
3319586939
Enbook ID
16190234
Wydawca
Springer International Publishing AG
Waga
4628
Wymiary
155 x 235 x 18

Pełny opis

This book contains the best selected papers of two Satellite Events held at the 20th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2016, in November 2016 in Bologna, Italy: The Second International Workshop on Educational Knowledge Management, EKM 2016, and the First Workshop: Detection, Representation and Management of Concept Drift in Linked Open Data, Drift-an-LOD 2016.

The 6 revised full papers included in this volume were carefully reviewed and selected from the 13 full papers that were accepted for presentation at the conference from the initial 82 submissions. This volume also contains the 37 accepted contributions for the EKAW 2016 tutorials, demo and poster sessions, and the doctoral consortium. The special focus of this year's EKAW was "evolving knowledge", which concerns all aspects of the management and acquisition of knowledge representations of evolving, contextual, and local models. This includes change management, trend detection, model evolution, streaming data and stream reasoning, event processing, time-and space dependent models, contextual and local knowledge representations with a special emphasis on the evolvability and localization of knowledge and the correct usage of these limits.

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