It takes the average reader 6 hours and 4 minutes to read Ontology Learning and Population from Text by Philipp Cimiano
Assuming a reading speed of 250 words per minute. Learn more
In the last decade, ontologies have received much attention within computer science and related disciplines, most often as the semantic web. Ontology Learning and Population from Text: Algorithms, Evaluation and Applications discusses ontologies for the semantic web, as well as knowledge management, information retrieval, text clustering and classification, as well as natural language processing. Ontology Learning and Population from Text: Algorithms, Evaluation and Applications is structured for research scientists and practitioners in industry. This book is also suitable for graduate-level students in computer science.
Ontology Learning and Population from Text by Philipp Cimiano is 362 pages long, and a total of 91,224 words.
This makes it 122% the length of the average book. It also has 111% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 8 hours and 18 minutes to read Ontology Learning and Population from Text aloud.
Ontology Learning and Population from Text 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.
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