Thesis (Ph. D.)--Drexel University, 2007. / Includes abstract and vita. Includes bibliographical references (leaves 99-111).

Energy models are optimisation tools which aid in the formulation of energy policies. Built on mathematics, the strength of these models lie in their ability to process numerical data which in turn allows for the generation of an electricity generation mix that incorporates economic and the environmental aspects. Nevertheless, a comprehensive formulation of an electricity generation mix should include aspects associated with politics and society, an evaluation of which requires the consideration of non-numerical qualitative information. Unfortunately, the use of energy models for optimisation coupled with the evaluation of information other than numerical data is a complicated task. Two prerequisites must be fulfilled for energy models to consider political and societal aspects. First, the information associated with politics and society in the context of energy policies must be identified and defined. Second, a software tool which automatically converts both quantitative and qualitative data into mathematical expressions for optimisation is required. We propose a software framework which uses a semantic representation based on ontologies. Our semantic representation contains both qualitative and quantitative data. The semantic representation is integrated into an Optimisation Modelling System which outputs a model consisting of a set of mathematical expressions. The system uses ontologies, engineering models, logic inference and linear programming. To demonstrate our framework, a Prototype Energy Modelling System which accepts energy policy goals and targets as inputs and outputs an optimised electricity generation mix has been developed. To validate the capabilities of our prototype, a case study has been conducted. This thesis discusses the framework, prototype and case study.

This thesis presents a semantic-based modeling approach for describing Service-Oriented Architectures (SOA). Ontologies are utilized as a major representation mechanism for describing various elements available in the architecture. The methodology proposes an architecture specification mechanism to constuct a unified ontology that enables transition from design concerns to the modeling elements. A multi-level modeling is also achieved by employing Model-Driven Engineering (MDE) techniques to describe various models at different stages of the software architecture. This aims to organize service-oriented models within a number of architecture viewpoints in order to provide an architectural perspective for SOA. The use of ontologies for model specification also allows us to make use of ontology mapping to specify the transformation between different models. Additionally, we present a case study to demonstrate the proposed methodology on a real-world healthcare scenario.

Business-IT alignment has been a top research topic for three decades now and consistently ranks high on CIO priorities and concerns. In spite of its seeming advantages, sustainable business-IT alignment remains elusive in practice. This can be attributed to the language and knowledge gaps which impede mutual understanding between business and IT stakeholders. It can also be attributed to the limitations imposed by approaching alignment solely from a strategic perspective. This thesis argues for an ontology-based framework that bridges the language and knowledge gaps through closer interaction between business and IT stakeholders throughout the software development and project management lifecycles, especially at the requirements engineering stage. Attempts at achieving sustainable business-IT alignment predominantly focus on strategic alignment and have not been successful for various reasons. Firstly, driving down alignment initiatives to the operational and tactical levels is challenging. Secondly, it is difficult to operationalize the metrics used for evaluating alignment maturity at strategic levels. These limitations are less pronounced at the functional levels of an organization. It is at these levels that business strategies are executed and interaction between business and IT personnel is most frequent. The interaction between business and IT stakeholders in the execution of IT projects presents an opportunity that can be leveraged to drive alignment maturity. The proposed framework is discussed in terms of its underpinning hypotheses, workflows, tool design and implementation, its use with a third party framework and tool. Antecedents to operational and tactical alignment such as quality, reuse, communication, learning, and shared understanding, are proposed as a practical means of achieving sustainable alignment maturity. The framework is applied to real world, business-critical projects in a top global financial services organization and validated using descriptive statistical analysis and structural equation modelling techniques. Contributions made through the study are highlighted. This includes the Alignment Forces Model which unifies the proposed framework and its support tool within software development and project management lifecycles. The Alignment Forces model and how it can be applied in practice is presented. Results of the quantitative data analyses indicate support for the arguments for the framework towards improving business-IT alignment, however with some limitations. Results also indicate support for the hypotheses for the antecedents to sustainable alignment maturity at lower organizational levels put forward. Finally, suggestions on furthering the study, addressing its limitations, and refining the framework and tool are articulated.

A substantial amount of research has been done in the field of engineering knowledge management, where countless ontologies have been developed for various applications within the engineering community. However, despite the success shown in these research efforts, the techniques have not been adopted by industry. This research aims to uncover the reasons for the slow adoption of engineering knowledge frameworks, namely ontologies, in industry. There are two projects covered in this thesis. The first project is the development of a cross-domain ontology for the Biomesh Project, which spans the fields of mechanical engineering, biology, and anthropology. The biology community is known for its embrace of ontologies and has made their use quite popular with the creation of the Gene Ontology. This ontology spawned the establishment of the Open Biological and Biomedical Ontologies (OBO) Foundry, a consortium which approves and curates ontologies in the biology field. No such consortium exists in the field of engineering. This project demonstrates the usefulness of curated reference ontologies. Ontological knowledge bases in four different domains were imported and integrated together to connect previously disparate information. A case study with data from the Biomesh Project demonstrates cross-domain queries and inferences that were not possible before the creation of this ontology. In the second part of this thesis we investigate the usability of current ontology tools. Protégé, the most popular ontology editing tool, is compared to OntoWiki, a semantic wiki. This comparison is done using proven techniques from the field of Human-computer interaction to uncover usability problems and point out areas where each system excels. A field of 16 subjects completed a set of tasks in each system and gave feedback based on their experience. It is shown that while OntoWiki offers users a satisfying interface, it lacks in some areas that can be easily improved. Protégé provides users with adequate functionality, but it is not intended for a novice user.