Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams

Matthias T. Frank

ISBN 10: 3731510766 / ISBN 13: 9783731510765

Published by Karlsruher Institut für Technologie, 2021

About this Item

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.

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Bibliographic Details

• Title: Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams
• Publisher: Karlsruher Institut für Technologie
• Publication Date: 2021
• Language: English
• ISBN 10: 3731510766
• ISBN 13: 9783731510765
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 240W x 170H x 15D millimeters 240 millimeters width by 170 millimeters height by 15 millimeters depth
• Weight: 457 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.