Paper Info
Title
Adaptive ALE-Tbox for extending terminological knowledge
Abstract
Ontologies are usually considered as static data structures representing conceptual knowledge of humans. For certain types of applications it would be desirable to develop an algorithmic adaptation process that allows dynamic modifications of the ontology in the case new information is available. Dynamic updates can generate conflicts between old and new information resulting in inconsistencies. We propose an algorithm that can model the adaptation processes for conflicting and non-conflicting updates defined on $\mathcal{ALE}$-TBoxes.
Year
DOI
Venue
2006
10.1007/11941439_132
Australian Conference on Artificial Intelligence
Keywords
Field
DocType
conceptual knowledge,algorithmic adaptation process,case new information,terminological knowledge,dynamic modification,static data structure,dynamic updates,adaptive ale-tbox,new information,certain type,adaptation process,data structure
Ontology (information science),Ontology,Data structure,Knowledge representation and reasoning,Algorithmics,Paraconsistent logic,Computer science,Conceptualization,Description logic,Theoretical computer science,Artificial intelligence,Distributed computing
Conference
Volume
ISSN
ISBN
4304
0302-9743
3-540-49787-0
Citations 
PageRank 
References 
5
0.52
6
Authors
2
Name
Order
Citations
PageRank
Ekaterina Ovchinnikova1586.56
Kai-uwe Kühnberger221128.67