Did {I} Damage my Ontology? A Case for Conservative Extensions in Description Logics

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Did {I} Damage my Ontology? A Case for Conservative Extensions in Description Logics

S. GhilardiS. Ghilardi,  C. LutzC. Lutz,  F. WolterF. Wolter
S. Ghilardi, C. Lutz, F. Wolter
Did {I} Damage my Ontology? A Case for Conservative Extensions in Description Logics
In Patrick {Doherty} and John {Mylopoulos} and Christopher {Welty}, eds., Proceedings of the Tenth International Conference on Principles of Knowledge Representation and Reasoning (KR'06), 187--197, 2006. AAAI Press
  • KurzfassungAbstract
    In computer science, ontologies are dynamic entities: to adapt them
     to new and evolving applications, it is necessary to frequently
     perform modifications such as the extension with new axioms and
     merging with other ontologies. We argue that, after performing such
     modifications, it is  important to know whether the resulting
     ontology is a conservative extension of the original one. If this is
     not the case, then there may be unexpected consequences when using
     the modified ontology in place of the original one in applications.
     In this paper, we propose and investigate new reasoning problems
     based on the notion of conservative extension, assuming that
     ontologies are formulated as TBoxes in the description logic 
       ALC. We show that the fundamental such reasoning problems are
     decidable and 2ExpTime-complete.  Additionally, we perform a
     finer-grained analysis that distinguishes between the size of the
     original ontology and the size of the additional axioms. In
     particular, we show that there are algorithms whose runtime is
     "only" exponential in the size of the original ontology, but double
     exponential in the size of the added axioms. If the size of the new
     axioms is small compared to the size of the ontology, these
     algorithms are thus not significantly more complex than the standard
     reasoning services implemented in modern description logic
     reasoners.  If the extension of an ontology is not conservative, our
     algorithm is capable of computing a concept that witnesses
     non-conservativeness.  We show that the computed concepts are of
    
    (worst-case) minimal size.
  • Forschungsgruppe:Research Group: AutomatentheorieAutomata Theory
@inproceedings{ GhilardiLutzWolter-KR06,
  author = {S. {Ghilardi} and C. {Lutz} and F. {Wolter}},
  booktitle = {Proceedings of the Tenth International Conference on Principles of Knowledge Representation and Reasoning (KR'06)},
  editor = {Patrick {Doherty} and John {Mylopoulos} and Christopher {Welty}},
  pages = {187--197},
  publisher = {AAAI Press},
  title = {Did {I} Damage my Ontology? A Case for Conservative Extensions in Description Logics},
  year = {2006},
}