Idioma: Inglés
Publicado por Karlsruher Institut Für Technologie, 2021
ISBN 10: 3731510766 ISBN 13: 9783731510765
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 52,00
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The rise of the Internet of Things leads to an unprecedented number of continuous sensor observations that are available as IoT data streams. Harmonization of such observations is a labor-intensive task due to heterogeneity in format, syntax, and semantics. We aim to reduce the effort for such harmonization tasks by employing a knowledge-driven approach. To this end, we pursue the idea of exploiting the large body of formalized public knowledge represented as statements in Linked Open Data.
Idioma: Inglés
Publicado por Karlsruher Institut für Technologie, 2021
ISBN 10: 3731510766 ISBN 13: 9783731510765
Librería: preigu, Osnabrück, Alemania
EUR 52,00
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams | Matthias T. Frank | Taschenbuch | Englisch | 2021 | Karlsruher Institut für Technologie | EAN 9783731510765 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por Karlsruher Institut Für Technologie Jul 2021, 2021
ISBN 10: 3731510766 ISBN 13: 9783731510765
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 52,00
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The rise of the Internet of Things leads to an unprecedented number of continuous sensor observations that are available as IoT data streams. Harmonization of such observations is a labor-intensive task due to heterogeneity in format, syntax, and semantics. We aim to reduce the effort for such harmonization tasks by employing a knowledge-driven approach. To this end, we pursue the idea of exploiting the large body of formalized public knowledge represented as statements in Linked Open Data. 236 pp. Englisch.
Idioma: Inglés
Publicado por KIT Scientific Publishing, 2021
ISBN 10: 3731510766 ISBN 13: 9783731510765
Librería: moluna, Greven, Alemania
EUR 52,00
Cantidad disponible: Más de 20 disponibles
Añadir al carritoKartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The rise of the Internet of Things leads to an unprecedented number of continuous sensor observations that are available as IoT data streams. Harmonization of such observations is a labor-intensive task due to heterogeneity in format, syntax, and semantics.
Idioma: Inglés
Publicado por Karlsruher Institut Für Technologie, Karlsruher Institut Für Technologie Jul 2021, 2021
ISBN 10: 3731510766 ISBN 13: 9783731510765
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 52,00
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The rise of the Internet of Things leads to an unprecedented number of continuous sensor observations that are available as IoT data streams. Harmonization of such observations is a labor-intensive task due to heterogeneity in format, syntax, and semantics. We aim to reduce the effort for such harmonization tasks by employing a knowledge-driven approach. To this end, we pursue the idea of exploiting the large body of formalized public knowledge represented as statements in Linked Open Data. 236 pp. Englisch.