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|DOI (Digital Object Identifier) Link:||https://doi.org/10.1007/978-3-642-02121-3_87|
|Google Scholar:||Look up in Google Scholar|
Ontology evolution is increasingly gaining momentum in the area of Semantic Web research. Current approaches target the evolution in terms of either content, or change management, without covering both aspects in the same framework. Moreover, they are slowed down as they heavily rely on user input. We tackle the aforementioned issues by proposing Evolva, a comprehensive ontology evolution framework, which handles a complete ontology evolution cycle, and makes use of background knowledge for decreasing user input.
|Item Type:||Conference Item|
|Copyright Holders:||2009 Springer-Verlag|
|Extra Information:||Also published in Lecture Notes in Computer Science, 2009, Volume 5554/2009, pp. 944-948.|
|Academic Unit/Department:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Depositing User:||Kay Dave|
|Date Deposited:||21 Oct 2010 08:45|
|Last Modified:||07 Oct 2016 06:59|
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