The majority of mentoring research has explored mentoring from the vantage point of protégé perceptions, reactions, experiences, and development (Wanberg et al. 2003; Kram, 1988). Participants in mentoring studies have commonly been employees, college students, or mid-level managers. Little is known regarding the impact of mentoring roles in relation to top executives who are, over the span of their careers, likely to participate in developmental relationships as both mentor and protégé. In fact, accessing people who are active CEOs has been extremely problematic for a majority of interested researchers (Thomas, 1995). Limited research on mentoring and especially that on CEOs is used to inform the current Human Resource Development (HRD) scholarship and practice. The current study will inform HRD and provide insight into how mentoring relationships can be used to develop individuals in organizations. Key findings from this study were reported from a qualitative study (Moustakas, 1994) involving twelve CEOs of large for-profit US corporations who detailed their experiences as both mentors and protégés. Emerging themes from the larger study overlap, in part, with key mentoring functions as identified by Kram (1988). In addition to reinforcing and informing the work of Kram (1988), key CEOs provided insight regarding their experiences in long-term (several years or more) mentoring relationships. The combined themes resulted in a framework demonstrating the development of mentoring relationships. In addition to a general discussion of a mentoring framework, I focused the study primarily on CEO perceptions regarding the impact of their mentoring related experiences on 1) how their mentors have impacted their development; 2) how they mentor others; and 3) the relational elements in mentoring relationships. Because a rarely assessed population was studied, scholars and practitioners in HRD will gain a unique understanding and greater insight into how mentoring relationships develop professionals, particularly CEOs.

Application of ontologies in the environmental science will allow experts in this field to model their domain knowledge for more efficient exchange and reuse. This thesis presents a modular approach in reengineering existing upper-level ontologies to conceptualize specific domain knowledge. The aim of extending these upper-level ontologies is to tailor and transform the existing conceptual models into new ones designed for the use in a specific domain in the earth sciences. This thesis extends the upper-level Semantic Web for Earth and Environmental Terminology (SWEET)ontologies to develop ontologies for part of the hydrogeology domain. The existing SWEET ontologies are developed by NASA’s Jet Propulsion lab for Earth system science (http://sweet.jpl.nasa.gov/ontology/). In the new model, presented in this thesis, the architecture and orthogonal design of the SWEET ontologies is not disturbed but restructured at certain levels. New concepts are added to the old structure and the consistency is maintained for use by other domains. This thesis discusses the useful steps,necessary tools and other procedures involved in ontological reengineering of existing upper-level ontologies. The hydrogeology domain modeled in this thesis by means of reengineering, exemplifies the reusability methodology for the Earth system science knowledge base.

Mental health care is critical and while governments are trying to increase awareness of the problem the available resources is not sufficient to confront the growing problem. The thesis proposes a design theory, using Gregor and Jones’s (2007) ‘Anatomy of a Design Theory’ framework, for the current mental illness dilemma that all societies are facing. The proposed solution is one of using information systems, together with domain knowledge and conventional instruments from the field of psychology to create a general screening tool. The design theory takes an ontological approach to defining the domain’s knowledge, using the MINI instrument along with expert knowledge to form the basis of the artifact. The artifact consists of four main entities: Background Information, Screening Questions, Pre-Requisite Questions and Other Questions. The thesis discusses the theoretical rationale for the screening took and then presents an instantiation of the artifact. This tool would be able to screen any person (with the exception of the mentally handicapped) to ascertain if they have a mental disorder as defined in the DSM-IV.

Unmanned Aerial System (UAS) is a versatile and essential tool for law enforcement, first responders, utility providers, and the general public. Integrating the UAS into the National Airspace System (NAS) poses a significant challenge to policymakers and manufacturers. A UAS Integration Safety and Security Technology Ontology (ISSTO) has been developed in the Web Ontology Language (OWL) to aid in this integration. ISSTO is a domain ontology covering aviation topics corresponding to flights, aircraft types, manufacturers, temporal/spatial, waivers and authorizations, track data, NAS facilities, air traffic control advisories, weather phenomena, surveillance and security equipment, and events, sensor types, radio frequency ranges, actions, and outcomes. As ISSTO is a domain ontology, it models the current state of UAS integration into the NAS and provides a comprehensive view of every aspect of UAS.

Die Auswertung von Microarray-Daten beginnt oft mit information retrieval-Ansätzen, welche die Datenmassen auf eine im Hinblick auf eine bestimmte Fragestellung besonders interessante und überschaubare Menge von Genen bzw. probe set IDs reduzieren sollen. Vorraussetzung für eine effiziente Suche im Datenbestand ist jedoch eine Semantisierung bzw. Formalisierung der verwendeten Datenformate. Hier wird eine Ontologie als standardisiertes und semantisch definiertes Repräsentationskonstrukt vorgestellt, welches die Formalisierung von Fachwissen in einem interaktiven Wissensmodell erlaubt, das umfassend abgefragt, konsistent interpretiert und gegebenenfalls automatisiert weiterverarbeitet werden kann. Anhand einer molekularbiologischen Ontologie aus 1200 hierarchisch strukturierten Begriffen und am Beispiel des Toll-Like Receptor-Signalwegs wird aufgezeigt, wie ein solch ein objektorientiertes Beschreibungsvokabular zur Annotierung von Genen auf Affymetrix-Microarrays genutzt werden kann. Die Annotationsbegriffe werden über ontologische Konzepte, deren Eigenschaften und deren semantische Verbindungen (relationale Slots) im Wissensbank-Editor Protégé-2000 modelliert. Annotation bedeutet hier ein Gen formal in einen definierten funktionalen Kontext einzubetten. In der Anwendung der Wissensbank entspricht eine Annotation einem "drag and drop" von Genen in ontologische, die Funktion dieser Gene beschreibende, Konzepte. Die weitergehende kontextuale Annotation erfolgt über eine Vernetzung der Gene zu anderen Konzepten oder Genen. Das so erstellte vernetzte Wissensmodell (die knowledgebase) ermöglicht ein inhaltsbasiertes, assoziatives und kontextgeleitetes "Wissens-Browsing". Ontologisch annotierte Gendaten erlauben auch die Anwendung automatischer datengetriebener Visualisierungsstrategien, wie am Beispiel semantischer Netze gezeigt wird. Eine ontologische Anfrageschnittstelle erlaubt auch semantisch komplexe Anfragen an den Datenbestand bei erhöhter Trefferquote und Präzision. / Functional gene annotations provide important search targets and cluster criteria. We introduce an annotation system that exploits the possibilities of modern knowledge management tools, i.e. ontological querying, inference, networking of annotations and automatic datadriven visualization of the annotated model. The Gandr (gene annotation data representation) knowledgebase is an ontological framework for laboratory-specific gene annotation and knowledgemanagement. Gandr uses Protégé-2000 for editing, querying and visualizing microarray data and annotations. Genes can be annotated with provided, newly created or imported ontological concepts. Annotated genes can inherit assigned concept properties and can be related to each other. The resulting knowledgebase can be visualized as interactive semantic network of nodes and edges representing genes with annotations and their functional relationships. This allows for immediate and associative gene context exploration. Ontological query techniques allow for powerful data access. Annotating genes with formal conceptual descriptions can be performed using ‘drag and drop’ of one or more gene instances onto an annotating concept. Compared with unstructured annotation systems, the annotation process itself becomes faster and leads to annotation schemes of better quality owing to enforcement of constraints provided by the ontology. GandrKB enables lab-bench scientists to query for implicit domain knowledge, inferred from the ontological domain model. Full access to data semantics through queries for properties and relationships ensures a more complete and adequate reply of the system.

This study's purpose was to investigate the importance of mentoring functions and behaviors for lifelong career development as perceived by protégés. The population included individuals in middle to late adulthood (age 40 years and older) who reported they had been a protégé in at least one mentoring association perceived as beneficial to their lifelong career development; and were either employed or had been employed as a middle manager, senior manager, C-level executive, business owner, or member of a profession. The sample was obtained using a chain-sample method; 67 Ambassadors completed an online survey and each invited 10 contacts to complete the survey. The final number of respondents was 503; of these, 456 reported being a protégé. Data were collected using the Perceptions of Workplace Mentoring Behaviors (PWMB) scale, a modification of Noe's (1988) Mentoring Functions Scale. The online survey included the PWMB scale items plus questions designed to engage the respondent's autobiographical memory and questions regarding respondent and mentoring association characteristics. The PWMB scale included seven new items, posited by the expert panel, enhancing the teaching aspect of mentoring. Confirmatory factor analyses were conducted comparing four tenable models for the PWMB scale. The 8-factor model, which was essentially the protégé's view of Kram's (1985) mentoring functions model and included the seven newly developed items, exhibited the best fit of the four possible models. Results indicated that protégés perceived three factors from the Psychosocial category (Role Model, Acceptance-and-Confirmation, and Relationship Fundamentals) as most important to their lifelong career development. Effective Development Opportunities was perceived as the most important factor from the Career category. Professional Issue Counseling from the Psychosocial category was perceived as the least important factor. Significant differences were found for five of six independent variables (protégé gender, mentor gender, dyad, protégé's mentor group, and birth decade) at the item level and for four of six independent variables (protégé gender, dyad, protégé's mentor group, and decade of birth) at the factor level. Implications included designing mentoring programs that provide opportunities for mentors and protégés to develop relationships rather than directly assigning protégés to mentors.

Mentoring relationships can have both costs and benefits for mentors and their proteges. The present research examined the degree to which mentors' perceived costs and benefits affect the functional and dysfunctional mentoring they provide to their proteges. Additionally, I investigated whether mentor-perceived costs and benefits were associated with the mentors' own goal orientation and the goal orientation of their proteges. Data were collected from 86 proteges and their current supervisory mentors. Consistent with expectations, when mentors reported greater costs of embarrassment associated with their relationship, the proteges reported receiving greater dysfunctional mentoring. Proteges who reported receiving greater functional mentoring tended to have mentors who perceived greater benefits of mentoring them. Both proteges and mentor goal orientations demonstrated significant correlations with mentor-perceived costs and benefits of their relationships. Implications for training and reinforcing functional mentoring will be discussed.

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This dissertation describes a research study conducted to determine the benefits and use of ontology technologies to support a simulation environment that evaluates countermeasures employed to protect military aircraft. Within the military, aircraft represent a significant investment and these valuable assets need to be protected against various threats, such as man-portable air-defence systems. To counter attacks from these threats, countermeasures are deployed, developed and evaluated by utilising modelling and simulation techniques. The system described in this research simulates real world scenarios of aircraft, missiles and countermeasures in order to assist in the evaluation of infra-red countermeasures against missiles in specified scenarios. Traditional ontology has its origin in philosophy, describing what exists and how objects relate to each other. The use of formal ontologies in Computer Science have brought new possibilities for modelling and representation of information and knowledge in several domains. These advantages also apply to military information systems where ontologies support the complex nature of military information. After considering ontologies and their advantages against the requirements for enhancements of the simulation system, an ontology was constructed by following a formal development methodology. Design research, combined with the adaptive methodology of development, was conducted in a unique way, therefore contributing to establish design research as a formal research methodology. The ontology was constructed to capture the knowledge of the simulation system environment and the use of it supports the functions of the simulation system in the domain. The research study contributes to better communication among people involved in the simulation studies, accomplished by a shared vocabulary and a knowledge base for the domain. These contributions affirmed that ontologies can be successfully use to support military simulation systems / Computing / M. Tech. (Information Technology)