In this thesis, we address several fundamental concerns of maintaining and querying huge ordered label trees. We focus on practical implementation issues of storing, updating and query optimization of XML database management system. Specifically, we address the XML order maintenance problem, efficient evaluation of structural join, intrinsic skew handling of join, succinct storage of XML data and update synchronization of mobile XML data.

The emergence of ontologies has marked another stage in the evolution of knowledge engineering. In the biomedical domain especially, a notable number of ontologies have been developed for knowledge acquisition, maintenance, sharing and reuse from large and distributed databases in order to reach the critical requirements of biomedical analysis and application. This research aims at the development of a Brain Gene Ontology by adopting a constructive IS methodology which tightly combines the processes of ontology learning, building, reuse and evaluation together. Brain Gene Ontology is a part of the BGO project that is being developed by KEDRI (Gottgtroy and Jain, 2005). The objective is to represent knowledge of the genes and proteins that are related to specific brain disorders like epilepsy and schizophrenia. The current stage focuses on the crucial neuronal parameters such as AMPA, GABA, CLC and SCN through their direct or indirect interactions with other genes and proteins. In this case, ontological representations were able to provide the conceptual framework and the knowledge itself to understand more about relationships among those genes and their links to brain disorders. It also provided a semantic repository of systematically ordered molecules concerned. The research adopts Protégé-Frames, which is an open source ontology tool suite for BGO development. Some Protégé plug-ins were also used to extend the applicable functions and improve knowledge representation. Basically, the research discusses the availability and the framework of the constructive Information System research methodology for ontology development, it also describes the process that bridges different notions of the brain, genes and proteins in various databases, and illustrates how to build and implement the ontology with Protégé-Frames and its plug-ins. The results of the BGO development proved that the constructive IS methodology does help to fill in the cognitive gap between domain users and ontology developers, the extensible, component-based architectures of Protégé-Frames significantly support the various activities in the ontology development process, and through explicitly specifying the meaning of fundamental concepts and their relations, ontology can actually integrate knowledge from multiple biological knowledge bases.

The main purpose of this research is to incorporate additional higher-level semantics into the existing data replication strategies in such a way that their flexibility and performance can be improved in favour of both data providers and consumers. The resulting approach from this research is referred to as the selective data replication system. With this system, the data that has been updated by a data provider is captured and batched into messages known as update notifications. Once update notifications are received by data consumers, they are used to evaluate so-called update policies, which are specified by data consumers containing details on when data replications need to occur and what data needs to be updated during the replications.

Thesis (Ph. D.)--Ohio State University, 2007. / Full text release at OhioLINK's ETD Center delayed at author's request

Thesis (M.S.)--Rochester Institute of Technology, 1988. / Includes bibliographical references (leaves 67-73).

Thesis (M.Comp.Sc.)--University of Wollongong, 2003. / Typescript. Bibliographical references: leaf 93-96.

Thesis (M.S.)--Rochester Institute of Technology, 2008. / Typescript. Includes bibliographical references (leaves 82-83).

Thesis (Ph. D.)--Carleton University, 2004. / Includes bibliographical references (p. 215-231). Also available in electronic format on the Internet.

Thesis (M.C.S.)--Carleton University, 2005. / Includes bibliographical references (p. 83-86). Also available in electronic format on the Internet.

Thesis (Ph.D.) - Carleton University, 2005. / Includes bibliographical references (p. 127-139). Also available in electronic format on the Internet.