It takes the average reader 4 hours and 1 minute to read Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams by Frank, Matthias T.
Assuming a reading speed of 250 words per minute. Learn more
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.
Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams by Frank, Matthias T. is 236 pages long, and a total of 60,416 words.
This makes it 80% the length of the average book. It also has 74% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 5 hours and 30 minutes to read Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams aloud.
Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams by Frank, Matthias T. is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.
To buy Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams by Frank, Matthias T. on Amazon click the button below.
Buy Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams on Amazon