Thesis (Ph. D.)--University of Texas at Austin, 2003. / Vita. Includes bibliographical references. Available also from UMI Company.

Not available / text

Thesis (M.A.)--Trinity Evangelical Divinity School, 1987. / Abstract. Includes bibliographical references (leaves 42-57).

Thesis (Ph.D.) - University of St Andrews, March 2007.

Thesis (Ph. D.)--Johns Hopkins University, 1918. / Vita. Bibliography: p. 115.

Thesis (Ph. D.)--Johns Hopkins University, 1918. / Vita. Bibliography: p. 115.

Thesis (Ph.D.)--Virginia Commonwealth University, 2008. / Prepared for: Dept. of Information Systems. Title from thesis description page. Includes bibliographical references.

Inaug.-Diss.--Bonn. / Lebenslauf. "Buecher und Aufsaetze": p. 110-111.

Thesis (Ph.D.)--Villanova University, 2006. / Philosophy Dept. Includes bibliographical references.

Semantically-enabled applications, such as ontology-based search and data integration, take into account the semantics of the input data in their algorithms. Such applications often use ontologies, which model the application domains in question, as well as alignments, which provide information about the relationships between the terms in the different ontologies. The quality and reliability of the results of such applications depend directly on the correctness and completeness of the ontologies and alignments they utilize. Traditionally, ontology debugging discovers defects in ontologies and alignments and provides means for improving their correctness and completeness, while ontology alignment establishes the relationships between the terms in the different ontologies, thus addressing completeness of alignments. This thesis focuses on the integration of ontology alignment and debugging for taxonomy networks which are formed by taxonomies, the most widely used kind of ontologies, connected through alignments. The contributions of this thesis include the following. To the best of our knowledge, we have developed the first approach and framework that integrate ontology alignment and debugging, and allow debugging of modelling defects both in the structure of the taxonomies as well as in their alignments. As debugging modelling defects requires domain knowledge, we have developed algorithms that employ the domain knowledge intrinsic to the network to detect and repair modelling defects. Further, a system has been implemented and several experiments with real-world ontologies have been performed in order to demonstrate the advantages of our integrated ontology alignment and debugging approach. For instance, in one of the experiments with the well-known ontologies and alignment from the Anatomy track in Ontology Alignment Evaluation Initiative 2010, 203 modelling defects (concerning incomplete and incorrect information) were discovered and repaired.