A semantic modelling approach to knowledge based statistical software

The topic of this thesis is the development of knowledge based statistical software. The shortcomings of conventional statistical packages are discussed to illustrate the need to develop software which is able to exhibit a greater degree of statistical expertise, thereby reducing the misuse of statistical methods by those not well versed in the art of statistical analysis. Some of the issues involved in the development of knowledge based software are presented and a review is given of some of the systems that have been developed so far. The majority of these have moved away from conventional architectures by adopting what can be termed an expert systems approach. The thesis then proposes an approach which is based upon the concept of semantic modelling. By representing some of the semantic meaning of data, it is conceived that a system could examine a request to apply a statistical technique and check if the use of the chosen technique was semantically sound, i.e. will the results obtained be meaningful. Current systems, in contrast, can only perform what can be considered as syntactic checks. The prototype system that has been implemented to explore the feasibility of such an approach is presented, the system has been designed as an enhanced variant of a conventional style statistical package. This involved developing a semantic data model to represent some of the statistically relevant knowledge about data and identifying sets of requirements that should be met for the application of the statistical techniques to be valid. Those areas of statistics covered in the prototype are measures of association and tests of location.

Moving from HRM to knowledge productivity:a study of whether and how organizations become learning organizations

Practitioners and academics are in broad agreement that, above all, organizations need to be able to learn, to innovate and to question existing ways of working. This thesis develops a model to take into account, firstly, what determines whether or not organizations endorse practices designed to facilitate learning. Secondly, the model evaluates the impact of such practices upon organizational outcomes, measured in terms of products and technological innovation. Researchers have noted that organizations that are committed to producing innovation show great resilience in dealing with adverse business conditions (e.g. Pavitt, 1991; Leonard Barton, 1998). In effect, such organizations bear many of the characteristics associated with the achievement of ‘learning organization’ status (Garvin, 1993; Pedler, Burgoyne & Boydell, 1999; Senge, 1990). Seven studies are presented to support this theoretical framework. The first empirical study explores the antecedents to effective learning. The three following studies present data to suggest that people management practices are highly significant in determining whether or not organizations are able to produce sustained innovation. The thesis goes on to explore the relationship between organizational-level job satisfaction, learning and innovation, and provides evidence to suggest that there is a strong, positive relationship between these variables. The final two chapters analyze learning and innovation within two similar manufacturing organizations. One manifests relatively low levels of innovation whilst the other is generally considered to be outstandingly innovative. I present the comparative framework for exploring the different approaches to learning manifested by the two organizations. The thesis concludes by assessing the extent to which the theoretical model presented in the second chapter is borne out by the findings of the study. Whilst this is a relatively new field of inquiry, findings reveal that organizations have a much stronger chance of producing sustained innovation where they manage people proactively where people process themselves to be satisfied at work. Few studies to date have presented empirical evidence to substantiate theoretical endorsements to engage in higher order learning, so this research makes an important contribution to existing literature in this field.

How SME owners’ characteristics influences external advice and access to finance

This paper aims to investigate the linkage between the use of external advice and access to finance for small and medium-sized enterprises (SMEs) in the UK, with particular consideration of differences in personal characteristics: gender, ethnicity and education. The approach adopted for the research is a telephone survey conducted by the Barclays small business research team in late 2005 on behalf of the authors. These data are quantitative in nature and involve a large sample of 400 SMEs with specific questions analysed by gender, ethnicity and education level. The approach adopted is robust and empirically sound and is a long established research methodology. We find that there appears to be a correlation between the provision of external advice and the ability to raise bank finance. Furthermore, there are clear gender, ethnic and educational differentials in the use of particular sources of advice, for example: Gender • men and women are equally likely to use accountants as sources of advice. • men are more likely to use family and friends and solicitors. • women, however, are around twice as likely to access external advice from Business Link and Enterprise Agencies. Ethnicity • family and friends is predominant amongst Asians or black respondents and the other ethnic group, which is also slightly true of accountants and solicitors. • ethnic minority respondents were considerably less likely to use Business Link/ Enterprise Agencies. Education • graduates are most likely to use solicitors and accountants, whilst they are very low users of advice from family and friends and Business Links/Enterprise Agencies. • O level and A level educated respondents predominate in family and friends and Business Link/ Enterprise Agencies.

Access to medical information and the role of english language in an Algerian selected community : media and modes of exchange among the paediatricians

DUE TO COPYRIGHT RESTRICTIONS ONLY AVAILABLE FOR CONSULTATION AT ASTON UNIVERSITY LIBRARY AND INFORMATION SERVICES WITH PRIOR ARRANGEMENT

Black and minority ethnic graduate entrepreneurs: motivations, characteristics and access to finance

This paper draws upon four case studies to examine characteristics, entrepreneurial motivations and access to finance of black and minority ethnic (BME) graduates in the UK. We find that BME graduates starting a business are motivated by a desire to “do better”, and rely heavily on personal savings and family sources for start-up capital. In addition: • There is no conclusive evidence that suggests in this study that BME graduates entered entrepreneurship because of unemployment; with the exception of a few, all had jobs prior to entering self employment. • “Glass ceilings” were often cited by participants of the case studies as a kind of barrier, but there was reluctance to specify exactly what that meant. • Also, lack of satisfaction from working for others is considered to be a strong motivator for entering self-employment but other reasons, to be one’s own boss and the prospect of higher earnings, are also strong motivators. There is, therefore, a need for support agencies and universities to recognise the distinctive nature of BME graduate enterprise in order to provide effective solutions for different groups. This might include a) work experience, b) advice on an adequate capital structure at start up, c) adequate funding and training, and d) appropriate training for all graduates in basic business education.

Access to start up finance for ethnic minority graduate entrepreneurs in the West Midlands: a gendered perspective

This aim of this paper, from a study funded by the National Council for Graduate Entrepreneurship (NCGE), is to explore access to finance for ethnic minority graduate entrepreneurs (EMGEs) with a particular focus on comparisons between different ethnic groups, and men and women. The authors interviewed selected individuals based upon a review of literature on finance for ethnic minority enterprise. A number of key results from the survey, in that EMGEs: • use external finance significantly (more so than non graduates) and encounter barriers in accessing finance at start-up, in particular those belonging to poor families. • rely excessively on personal savings and family finance, at the start-up and long after the start-up stage, that has implications for the optimal capital structure. • start up businesses that are, on average, larger than non-graduate enterprises and have the potential to reduce economic inactivity amongst the ethnic population. • have, in contrast to general graduate start-ups, a high level of unemployment, take a longer period of time to enter employment and there is a higher level of dissatisfaction with career progression. These findings raise the question whether the right financial advice is taken and whether this behaviour constrains EMGEs' expansion.

Enhanced semantic access to formal software models

The success of the Semantic Web, as the next generation of Web technology, can have profound impact on the environment for formal software development. It allows both the software engineers and machines to understand the content of formal models and supports more effective software design in terms of understanding, sharing and reusing in a distributed manner. To realise the full potential of the Semantic Web in formal software development, effectively creating proper semantic metadata for formal software models and their related software artefacts is crucial. In this paper, a methodology with tool support is proposed to automatically derive ontological metadata from formal software models and semantically describe them.

From biomedical literature to knowledge:mining protein-protein interactions

To date, more than 16 million citations of published articles in biomedical domain are available in the MEDLINE database. These articles describe the new discoveries which accompany a tremendous development in biomedicine during the last decade. It is crucial for biomedical researchers to retrieve and mine some specific knowledge from the huge quantity of published articles with high efficiency. Researchers have been engaged in the development of text mining tools to find knowledge such as protein-protein interactions, which are most relevant and useful for specific analysis tasks. This chapter provides a road map to the various information extraction methods in biomedical domain, such as protein name recognition and discovery of protein-protein interactions. Disciplines involved in analyzing and processing unstructured-text are summarized. Current work in biomedical information extracting is categorized. Challenges in the field are also presented and possible solutions are discussed.

Ownership characteristics and access to finance:evidence from a survey of large privatised companies in Hungary and Poland

We examine financial constraints and forms of finance used for investment, by analysing survey data on 157 large privatised companies in Hungary and Poland for the period 1998 - 2000. The Bayesian analysis using Gibbs sampling is carried out to obtain inferences about the sample companies' access to finance from a model for categorical outcome. By applying alternative measures of financial constraints we find that foreign companies, companies that are part of domestic industrial groups and enterprises with concentrated ownership are all less constrained in their access to finance. Moreover, we identify alternative modes of finance since different corporate control and past performance characteristics influence the sample firms' choice of finance source. In particular, while being industry-specific, the access to domestic credit is positively associated with company size and past profitability. Industrial group members tend to favour bond issues as well as sells-offs of assets as appropriate types of finance for their investment programmes. Preferences for raising finance in the form of equity are associated with share concentration in a non-monotonic way, being most prevalent in those companies where the dominant owner holds 25%-49% of shares. Close links with a leading bank not only increase the possibility of bond issues but also appear to facilitate access to non-banking sources of funds, in particular, to finance supplied by industrial partners. Finally, reliance on state finance is less likely for the companies whose profiles resemble the case of unconstrained finance, namely, for companies with foreign partners, companies that are part of domestic industrial groups and companies with a strategic investor. Model implications also include that the use of state funds is less likely for Polish than for Hungarian companies.

Public libraries and the right to the [smart] city

The future of public libraries has been threatened by funding cuts and new digital technologies which have led many people to question their traditional role and purpose. However, freedom of information, ready access to knowledge and information literacy in all its digital and analog guises are more important than ever. Thus, public libraries remain significant spaces and places where people can socially interact and learn. In many countries public libraries are reinventing themselves and part of this process has been the redesign of library services and the design and construction of new library building and facilities that articulate the values, purpose and role of what has been termed 'the next library'. Following discussion of new library developments in London, Birmingham and Worcester in the UK, Aarhus in Denmark and Helsinki in Finland, the article concludes that public libraries are now both social and media spaces as well as being important physical places that can help city dwellers decide what type of urban world they want to see.

One Approach to Knowledge Mapping for International Student Portal

* The work is partly supported by RFFI grant 08-07-00062-a

Introducing consultant outpatient clinics to community settings to improve access to paediatrics:an observational impact study

Objectives - In line with a national policy to move care ‘closer to home’, a specialist children's hospital in the National Health Service in England introduced consultant-led ‘satellite’ clinics to two community settings for general paediatric outpatient services. Objectives were to reduce non-attendance at appointments by providing care in more accessible locations and to create new physical clinic capacity. This study evaluated these satellite clinics to inform further development and identify lessons for stakeholders. Methods - Impact of the satellite clinics was assessed by comparing community versus hospital-based clinics across the following measures: (1) non-attendance rates and associated factors (including patient characteristics and travel distance) using a logistic regression model; (2) percentage of appointments booked within local catchment area; (3) contribution to total clinic capacity; (4) time allocated to clinics and appointments; and (5) clinic efficiency, defined as the ratio of income to staff-related costs. Results - Satellite clinics did not increase attendance beyond their contribution to shorter travel distance, which was associated with higher attendance. Children living in the most-deprived areas were 1.8 times more likely to miss appointments compared with those from least-deprived areas. The satellite clinics’ contribution to activity in catchment areas and to total capacity was small. However, one of the two satellite clinics was efficient compared with most hospital-based clinics. Conclusions - Outpatient clinics were relocated in pragmatically chosen community settings using a ‘drag and drop’ service model. Such clinics have potential to improve access to specialist paediatric healthcare, but do not provide a panacea. Work is required to improve attendance as part of wider efforts to support vulnerable families. Satellite clinics highlight how improved management could contribute to better use of existing capacity.

Digital Preservation and Web Access to the Konkoly Observatory Schmidt Telescope Plate Archive

ACM Computing Classification System (1998): J.2.

Access to Digital Cultural Heritage: Innovative Applications of Automated Metadata Generation

Access to Digital Cultural Heritage: Innovative Applications of Automated Metadata Generation Edited by: Krassimira Ivanova, Milena Dobreva, Peter Stanchev, George Totkov Authors (in order of appearance): Krassimira Ivanova, Peter Stanchev, George Totkov, Kalina Sotirova, Juliana Peneva, Stanislav Ivanov, Rositza Doneva, Emil Hadjikolev, George Vragov, Elena Somova, Evgenia Velikova, Iliya Mitov, Koen Vanhoof, Benoit Depaire, Dimitar Blagoev Reviewer: Prof., Dr. Avram Eskenazi Published by: Plovdiv University Publishing House "Paisii Hilendarski" ISBN: 978-954-423-722-6 2012, Plovdiv, Bulgaria First Edition

Access to the Sound Archives of the Bulgarian National Radio

The aim of this paper is to review the sound archives of the Bulgarian National Radio (BNR). The accesses to different sound archives are analyzed. A case study for preparing a radio presentation using the existing archives is outline.