UID:
almahu_9949281207502882
Format:
1 electronic resource (236 p.)
ISBN:
1000128146
Content:
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.
Note:
English
Additional Edition:
ISBN 3-7315-1076-6
Language:
English
