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Knowledge is perceived as very important asset for organizations and knowledge management is critical for organization competitiveness. Because the nature of knowledge is always represented as complex and varied, it is difficult to extend effectiveness of knowledge re‐use in organizations. In this article, an approach based on the Zachman’s Framework to externalize organizational knowledge into semi‐structured knowledge is developed, and eXtensible Markup Language (XML) is applied to transform the knowledge into documents. In addition, latent semantic indexing (LSI), which is capable of solving problems of synonyms and antonyms, as well as improving accuracy of document searches, is incorporated to facilitate search of semi‐structured knowledge (SSK) documents based on user demands. The SSK approach shows great promise for organizations to acquire, store, disseminate, and reuse knowledge.

In this chapter, we present semi-structured interviewing as an adaptable method useful in bioethics research to gather data for issues of concern to researchers in the field. We discuss the theory and practice behind developing the interview guide, the logistics of managing a semi-structured interview-based research project, developing and applying a codebook, and data analysis. Throughout the chapter we use examples from empirical bioethics literature.

Semi‐structured data are commonly represented by labeled flat db‐graphs. In this paper, we study an extension of db‐graph model for representing nested semi‐structured data. This extension allows one to have db‐graphs whose vertex labels are db‐graphs themselves. Bringing the data model closer to the natural presentation of data stored via Web documents is the main motivation behind nesting db‐graphs. The importance of nested db‐graphs is similar to the importance of nested tables in relational model. The main purpose of the paper is to provide a mechanism to query nested semi‐structured data and Web forms in a uniform way. Most of the languages proposed so far have been designed as extensions of SQL with, among others, the advantage to provide a user‐friendly syntax and commercial flavor. The major focus of the paper is on defining a graph query language in a multi‐sorted calculus like style.

This paper aims to develop a strategy for high‐precision assembly in a semi‐structured environment based on vision and force control.

The position and orientation of a part are identified using the vision system. The force/torque control algorithm is then applied to perform a tight‐tolerance assembly that is a high‐precision assembly.

The tight tolerance assembly in a semi‐structured environment is successfully implemented using vision guidance and force/torque‐control strategy.

The developed methodology can be applied to tight tolerance assembly, such as forward‐clutch assembly, torque‐converter assembly, etc.

An industrial assembly methodology has been developed and implemented for high‐precision assembly in a semi‐structured environment. This innovation has many potential applications in automotive manufacturing.

Data for research studies are often gathered by using questionnaires. These data will be enhanced by interviewing a sample of the respondents. Inexperienced thesis and dissertation writers can meet with difficulties which are beyond their competence in the interview stage. A solution to this problem is described. Relevant literature was perused in the hope that guidance would be found in dealing with lack of expertise in interviewing, and at the same time, encourage the beginner to undertake the task. The suggested solution, derived from the literature, was the use of semi‐structured interviews.

This paper aims to present a novel scheme of multiple vanishing points (VPs) estimation and corresponding lanes identification.

The scheme proposed here includes two main stages: VPs estimation and lane identification. VPs estimation based on vanishing direction hypothesis and Bayesian posterior probability estimation in the image Hough space is a foremost contribution, and then VPs are estimated through an optimal objective function. In lane identification stage, the selected linear samples supervised by estimated VPs are clustered based on the gradient direction of linear features to separate lanes, and finally all the lanes are identified through an identification function.

The scheme and algorithms are tested on real data sets collected from an intelligent vehicle. It is more efficient and more accurate than recent similar methods for structured road, and especially multiple VPs identification and estimation of branch road can be achieved and lanes of branch road can be identified for complex scenarios based on Bayesian posterior probability verification framework. Experimental results demonstrate VPs, and lanes are practical for challenging structured and semi-structured complex road scenarios.

A Bayesian posterior probability verification framework is proposed to estimate multiple VPs and corresponding lanes for road scene understanding of structured or semi-structured road monocular images on intelligent vehicles.

Despite the growing pressure to encourage new ways of thinking about research methodology, only recently have interview methodologists begun to realize that “we cannot lift the results of interviewing out of the contexts in which they were gathered and claim them as objective data with no strings attached”. The purpose of this paper is to provide additional insight based on a critical reflection of the interview as a research method drawing upon Alvesson's discussion from the neopositivist, romanticist and localist interview perspectives. Specifically, the authors focus on critical reflections of three broad categories of a continuum of interview methods: structured, semi‐structured and unstructured interviews.

The authors adopt a critical and reflexive approach to understanding the literature on interviews to develop alternative insights about the use of interviews as a qualitative research method.

After examining the neopositivist (interview as a “tool”) and romanticist (interview as “human encounter”) perspectives on the use of the research interview, the authors adopt a localist perspective towards interviews and argue that the localist approach opens up alternative understanding of the interview process and the accounts produced provide additional insights. The insights are used to outline the skills researchers need to develop in applying the localist perspective to interviews.

The paper provides an alternative perspective on the practice of conducting interviews, recognizing interviews as complex social and organizational phenomena rather than just a research method.

The telephone has been widely used to conduct quantitative research in diverse fields of study, generally using survey methodology. However, comparatively very few qualitative studies opt for this means of data collection. The purpose of this paper is to argue in favour of a medium that has generally been second‐rated in qualitative research. It aims at establishing telephone interviews as an equally viable option to other established methods of qualitative data collection.

This paper is informed by the authors’ experience of using this method, as well as the limited number of previous research articles presented on the topic. It discusses its specific strengths and limitations, drawing on a conducted longitudinal study to illustrate key points. Its application to particular qualitative analysis methods, in view of the acknowledged requirements for each of these approaches, is also presented.

Telephone conversations naturally follow an agenda‐driven format that is initiated by the caller, similar to semi‐structured interviews. The authors propose that the telephone medium and interview modality are complementary. Also, the interview transcripts provide rich textual data that can subsequently be analysed using a range of qualitative data analysis methods.

Focus is placed on the methodological strengths of using telephone interviews in qualitative research, rather than convenience factors which have been the most featured element in previous literature. The paper aims at informing researchers who want to consider using the telephone medium for qualitative data collection and analysis.

In data engineering, view formalisms are used to provide flexibility to users and user applications by allowing them to extract and elaborate data from the stored data sources. Conversely, since the introduction of EXtensible Markup Language (XML), it is fast emerging as the dominant standard for storing, describing, and interchanging data among various web and heterogeneous data sources. In combination with XML Schema, XML provides rich facilities for defining and constraining user‐defined data semantics and properties, a feature that is unique to XML. In this context, it is interesting to investigate traditional database features, such as view models and view design techniques for XML. However, traditional view formalisms are strongly coupled to the data language and its syntax, thus it proves to be a difficult task to support views in the case of semi‐structured data models. Therefore, in this paper we propose a Layered View Model (LVM) for XML with conceptual and schemata extensions. Here our work is three‐fold; first we propose an approach to separate the implementation and conceptual aspects of the views that provides a clear separation of concerns, thus, allowing analysis and design of views to be separated from their implementation. Secondly, we define representations to express and construct these views at the conceptual level. Thirdly, we define a view transformation methodology for XML views in the LVM, which carries out automated transformation to a view schema and a view query expression in an appropriate query language. Also, to validate and apply the LVM concepts, methods and transformations developed, we propose a viewdriven application development framework with the flexibility to develop web and database applications for XML, at varying levels of abstraction.