Linköpings universitet > Department of Computer and Information Science > Division for Database and Information Techniques > Patrick Lambrix
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Ontology Engineering - Ontology Alignment

Many ontologies contain overlapping information. Ontology alignment deals with finding mappings beween terms in different ontologies.

Results:

Ontology alignment framework and system. Development of framework for aligning and merging ontologies based on the computation of similarity values between terms in the source ontologies. Development of an ontology alignment and merging system (SAMBO). (Winner of the Anatomy track of the 2008 Ontology Alignment Evaluation Initiative.) Development of ontology alignment strategies.

Evaluation of ontology alignment strategies. Development of framework for evaluation and comparison of ontology alignment strategies. Development of an environment for evaluation and comparison of alignment strategies (KitAMO). (First environment of its kind.) Evaluation of alignment strategies and systems. (First larger evaluation of algorithms.)

Recommendation of ontology alignment strategies. Development of framework for recommending ontology alignment strategies. Implementation and evaluation of different recommendation strategies. (One of the first approaches for recommendation of strategies.)

Using partial alignments (PA) in ontology alignment. Development and evaluation of several strategies for using given correct mappings in ontology alignment: for preprocessing, within matchers, for filtering. (First approach for using PA in ontology alignment.)

See also SAMBO and KitAMO and my annotated bibliography.

For an overview of our work up to 2012, see
Lambrix P, Kaliyaperumal R, Contributions of LiU/ADIT to Ontology Alignment, in Lambrix, (ed), Advances in Secure and Networked Information Systems - The ADIT Perspective, 97-108, LiU Tryck / LiU Electronic Press, 2012. publisher's book page.

Since 2013 our group organizes the Anatomy track of the Ontology Alignment Evaluation Initiative.

Ontology Engineering - Ontology debugging

Developing ontologies is not an easy task and often the resulting ontologies are not consistent (logically) or complete (with respect to the domain). Such ontologies, although often useful, lead to problems when used in semantically-enabled applications. Wrong conclusions may be derived or valid conclusions may be missed. To deal with this problem we may want to debug the ontologies.

Results:

Method and system for detecting and repairing missing and wrong is-a structure of single ontologies as well as in a network of ontologies. (First to study debugging missing is-a structure with advanced repairing method.)
Formalization of the problem of repairing missing is-a structure as a new abductive reasoning problem.
Unified approach to debug is-a structure in and mappings between taxonomies.
Development of system RepOSE (Repairing of Ontological Structure Environment).

See also RepOSE and my annotated bibliography.

For an overview of our work up to 2012, see
Lambrix P, Ivanova V, Dragisic Z, Contributions of LiU/ADIT to Debugging Ontologies and Ontology Mappings, in Lambrix, (ed), Advances in Secure and Networked Information Systems - The ADIT Perspective, 109-120, LiU Tryck / LiU Electronic Press, 2012. publisher's book page.

We co-founded the International Workshop on Debugging Ontologies and Ontology Mappings series in 2012.

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