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 Jul 2021, 2021

About this Item

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.

Seller Inventory # 9783731510765

Bibliographic Details

• Title: Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams
• Publisher: Karlsruher Institut Für Technologie Jul 2021
• 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

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.