Abstract
Ontology evolution is a painstaking and time-consuming pro-
cess, especially in information rich and dynamic domains. While ontology
evolution refers both to the adaptation of ontologies (e.g., through addi-
tions or updates possibly discovered from external data sources) and the
management of these changes, no existing tools offer both functionalities.
The Evolva framework aims to be a blueprint for a comprehensive on-
tology evolution tool that would cover both tasks. Additionally, Evolva
proposes the use of background knowledge sources to reduce user involve-
ment in the ontology adaptation step. This demo focuses on the initial,
concrete implementation of our framework.
cess, especially in information rich and dynamic domains. While ontology
evolution refers both to the adaptation of ontologies (e.g., through addi-
tions or updates possibly discovered from external data sources) and the
management of these changes, no existing tools offer both functionalities.
The Evolva framework aims to be a blueprint for a comprehensive on-
tology evolution tool that would cover both tasks. Additionally, Evolva
proposes the use of background knowledge sources to reduce user involve-
ment in the ontology adaptation step. This demo focuses on the initial,
concrete implementation of our framework.
Originalsprache | Englisch |
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DOIs | |
Publikationsstatus | Veröffentlicht - 2009 |
Österreichische Systematik der Wissenschaftszweige (ÖFOS)
- 102
- 102001 Artificial Intelligence
- 102015 Informationssysteme
- 102022 Softwareentwicklung