Instance-driven TBox revision in DL-Lite

Wang, Zhe, Wang, Kewen, Qi, Guilin, Zhuang, Zhiqiang, & Li, Yuefeng (2014) Instance-driven TBox revision in DL-Lite. In Bienvenu, Meghyn, Ortiz, Magdalena, Rosati, Riccardo, & Simkus, Mantas (Eds.) Informal Proceedings of the 27th International Workshop on Description Logics,, Vienna, Austria, pp. 734-745.

View at publisher (open access)


The development and maintenance of large and complex ontologies are often time-consuming and error-prone. Thus, automated ontology learning and revision have attracted intensive research interest. In data-centric applications where ontologies are designed or automatically learnt from the data, when new data instances are added that contradict to the ontology, it is often desirable to incrementally revise the ontology according to the added data. This problem can be intuitively formulated as the problem of revising a TBox by an ABox. In this paper we introduce a model-theoretic approach to such an ontology revision problem by using a novel alternative semantic characterisation of DL-Lite ontologies. We show some desired properties for our ontology revision. We have also developed an algorithm for reasoning with the ontology revision without computing the revision result. The algorithm is efficient as its computational complexity is in coNP in the worst case and in PTIME when the size of the new data is bounded.

Impact and interest:

0 citations in Scopus
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

30 since deposited on 17 Mar 2015
4 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 82545
Item Type: Conference Paper
Refereed: No
Additional URLs:
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2014 by the authors
Deposited On: 17 Mar 2015 22:58
Last Modified: 18 Mar 2015 23:13

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page