@book{BuitelaarCimianoMagnini2005,
title = {Ontology Learning from Text: Methods, Evaluation and Applications},
address = {Amsterdam},
editor = {Paul Buitelaar and Philipp Cimiano and Bernardo Magnini},
publisher = {IOS Press},
series = {Frontiers in Artificial Intelligence and Applications},
volume = {123},
year = {2005},
abstract = {This volume brings together ontology learning, knowledge acquisition
and other related topics. It presents current research in ontology
learning, addressing three perspectives. The first perspective looks
at methodologies that have been proposed to automatically extract
information from texts and to give a structured organization to such
knowledge, including approaches based on machine learning techniques.
Then there are evaluation methods for ontology learning, aiming at
defining procedures and metrics for a quantitative evaluation of
the ontology learning task; and finally application scenarios that
make ontology learning a challenging area in the context of real
applications such as bio-informatics. According to the three perspectives
mentioned above, the book is divided into three sections, each including
a selection of papers addressing respectively the methods, the applications
and the evaluation of ontology learning approaches.},
timestamp = {2008.02.05}, file = {IOS Product page:http\://www.iospress.nl/html/9781586035235:URL}, isbn = {978-1-58603-523-5}, owner = {flint},
keywords = {ai analysis book language learn ontology processing semantic text v0805 web }
}
::