Learning expressive ontologies /
Saved in:
Author / Creator: | Völker, Johanna, author. |
---|---|
Imprint: | Heidelberg : AKA : IOS Press, [2009] ©2009 |
Description: | 1 online resource (x, 263 pages) : illustrations |
Language: | English |
Series: | Studies on the Semantic Web, 1868-1158 ; volume 002 Studies on the Semantic Web ; v. 002. |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11217166 |
Summary: | This publication advances the state-of-the-art in ontology learning by presenting a set of novel approaches to the semi-automatic acquisition, refinement and evaluation of logically complex axiomatizations. It has been motivated by the fact that the realization of the semantic web envisioned by Tim Berners-Lee is still hampered by the lack of ontological resources, while at the same time more and more applications of semantic technologies emerge from fast-growing areas such as e-business or life sciences. Such knowledge-intensive applications, requiring large scale reasoning over complex domains of interest, even more than the semantic web depend on the availability of expressive, high-quality axiomatizations. This knowledge acquisition bottleneck could be overcome by approaches to the automatic or semi-automatic construction of ontologies. Hence a huge number of ontology learning tools and frameworks have been developed in recent years, all of them aiming for the automatic or semi-automatic generation of ontologies from various kinds of data. However, both the quality and the expressivity of ontologies that can be acquired by the current state-of-the-art in ontology learning so far have failed to meet the expectations of people who argue in favor of powerful, knowledge-intensive applications based on logical inference. This work therefore takes a first, yet important, step towards the semi-automatic generation and maintenance of expressive ontologies. |
---|---|
Physical Description: | 1 online resource (x, 263 pages) : illustrations |
Format: | Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. |
Bibliography: | Includes bibliographical references. |
ISBN: | 9781614993360 161499336X 9781607500339 1607500337 9783898386210 389838621X |
ISSN: | 1868-1158 ; |