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Ontology Learning from Text : Methods, Evaluation and Applications
This volume brings together ontology learning, knowledge acquisition and other related topics.It presents current research in ontology learning, addressing three perspectives.The first perspective looks at methodologies that have been proposed to automatically extract information from texts and to give a structured organization to such knowledge, including approaches based on machine learning techniques.Then there are evaluation methods for ontology learning, aiming at defining procedures and metrics for a quantitative evaluation of the ontology learning task; and finally application scenarios that make ontology learning a challenging area in the context of real applications such as bio-informatics.According to the three perspectives mentioned above, the book is divided into three sections, each including a selection of papers addressing respectively the methods, the applications and the evaluation of ontology learning approaches.
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Developmental Evaluation : Applying Complexity Concepts to Enhance Innovation and Use
Developmental evaluation (DE) offers a powerful approach to monitoring and supporting social innovations by working in partnership with program decision makers.In this book, eminent authority Michael Quinn Patton shows how to conduct evaluations within a DE framework.Patton draws on insights about complex dynamic systems, uncertainty, nonlinearity, and emergence.He illustrates how DE can be used for a range of purposes: ongoing program development, adapting effective principles of practice to local contexts, generating innovations and taking them to scale, and facilitating rapid response in crisis situations.Students and practicing evaluators will appreciate the book's extensive case examples and stories, cartoons, clear writing style, "closer look" sidebars, and summary tables.Provided is essential guidance for making evaluations useful, practical, and credible in support of social change. See also Developmental Evaluation Exemplars, edited by Michael Quinn Patton, Kate McKegg, and Nan Wehipeihana, which presents 12 in-depth case studies.
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Realistic Evaluation
Realistic Evaluation shows how program evaluation needs to be, and can be bettered.It presents a profound yet highly readable critique of current evaluation practice, and goes on to introduce a `manifesto' and `handbook' for a fresh approach. The main body of this book is devoted to the articulation of a new evaluation paradigm, which promises greater validity and utility from the findings of evaluation studies.The authors call this new approach `realistic evaluation'.The name reflects the paradigm's foundation in scientific realist philosophy, its commitment to the idea that programmes deal with real problems rather than mere social constructions, and its primary intention, which is to inform realistic developments in policy making that benefit programme participants and the public.Ray Pawson and Nicholas Tilley argue with passion that scientific evaluation requires a careful blend of theory and method, quality and quantity, ambition and realism. The book offers a complete blueprint for evaluation activities, running from design to data collection and analysis to the cumulation of findings across programmes and onto the realization of research into policy.The argument is developed using practical examples throughout and is grounded in the major fields of programme evaluation. This book will be essential reading for all those involved in the evaluation process especially those researchers, students and practitioners in the core disciplines of sociology, social policy, criminology, health and education. `This book is a must for those engaged in the field, providing a fully illustrated text on evaluation with numerous examples from the criminal justice system.Unusually, it offers something for the academic, practitioner and student alike.I found Pawson and Tilley's latest work on evaluation an enjoyable and informative read.For myself their "realistic evaluation" clarified and formalised a jumbled set of ideas I had already been developing.Although not everyone will agree with the methodology proposed by the authors, this book is a valuable read as it will cause most of us at least to review our methodological stance' - International Journal of Police Science and Management`This is an engaging book with a strong sense of voice and communicative task.The voice is sometimes strident, but always clear. Its communicative qualities are evident equally in its structure: lots of signposting for the reader within and across chapters' - Language Teaching Research`This provocative, elegant and highly insightful book focuses on the effective incorporation of actual practice into the formulation of evaluation methodology.What a pleasure to read sentences like: "The research act involves "learning" a stakeholder's theories, formalizing them, and "teaching" them back to that informant who is then in a position to comment upon, clarify and further refine the key ideas".Pawson and Tilley have given us a wise, witty and persuasive account of how real practitioner experience might be encouraged to intrude on (and modify) researchers' concepts about program processes and outcomes.This holds important promise for achieving something that is devoutly to be wished: closer interaction among at least some researchers and some policy makers' - Eleanor Chelimsky, Past-President of the American Evaluation Association`This is a sustained methodological argument by two wordly-wise social scientists.Unashamedly intellectual, theoretically ambitious yet with a clear but bounded conception of evaluation.It is articulate, occasionally eloquent and always iconoclastic, whilst eschewing "paradigm wars".The Pawson and Tilley "realist" call to arms threatens to take no prisoners among experimentalists, constructivists or pluralists.It is the kind of book that clarifies your thoughts, even when you disagree with everything they say' - Elliot Stern, The Tavistock Institute
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Machine Learning Evaluation : Towards Reliable and Responsible AI
As machine learning applications gain widespread adoption and integration in a variety of applications, including safety and mission-critical systems, the need for robust evaluation methods grows more urgent.This book compiles scattered information on the topic from research papers and blogs to provide a centralized resource that is accessible to students, practitioners, and researchers across the sciences.The book examines meaningful metrics for diverse types of learning paradigms and applications, unbiased estimation methods, rigorous statistical analysis, fair training sets, and meaningful explainability, all of which are essential to building robust and reliable machine learning products.In addition to standard classification, the book discusses unsupervised learning, regression, image segmentation, and anomaly detection.The book also covers topics such as industry-strength evaluation, fairness, and responsible AI.Implementations using Python and scikit-learn are available on the book's website.
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Quality Assurance and Evaluation in the Lifelong Learning Sector
All trainee teachers working towards ATLS or QTLS are accountable for the quality of their work, the delivery of their lessons and the success of their students.This book provides comprehensive coverage of the sector's challenging quality agenda and focuses on the reality of teaching and managing under pressure. It begins by asking what is meant by 'quality', and goes on to give guidance on delivering quality lessons and coping with inspections. Professional issues such as accountability and team working are covered in a practical, accessible way.Throughout, case studies provide insights into everyday challenges faced by trainee teachers.
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Program Evaluation : Embedding Evaluation into Program Design and Development
Program Evaluation: Embedding Evaluation into Program Design and Development provides an in-depth examination of the foundations, methods, and relevant issues in the field of evaluation.With an emphasis on an embedded approach, where evaluation is an explicit part of a program that leads to the refinement of the program, students will learn how to conduct effective evaluations that foster continual improvement and enable data-based decision making.This text provides students with both the theoretical understanding and the practical tools to conduct effective evaluations while being rigorous enough for experienced evaluators looking to expand their approach to evaluation.
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Evaluation of Rail Technology : A Practical Human Factors Guide
Rapid advancements in train control and in-cab technologies provide significant opportunities for rail operators to improve efficiency and enhance their operations.New technologies often provide elegant solutions to existing problems or new capabilities for the operator.However, new technologies may also represent a significant form of risk.Thus, it is important to balance the potential for significant improvement with justifiable concern about how the technology may unpredictably change the nature of the work.If a technology is designed and implemented without considering the substantive human factors concerns, that technology may lead to unintended consequences that can introduce safety issues and disrupt network performance.It is important to note that even a well-designed and beneficial technology may be rejected by the users who see it as a threat to their jobs, status or working conditions. This book discusses the issues surrounding rail technology and introduces a 'toolkit' of human factors evaluation methods.The toolkit provides a practical and operationally focused set of methods that can be used by managers considering investing in technology, staff charged with implementing a technology, and consultants engaged to assist with the design and evaluation process.This toolkit can help to ensure that new rail technologies are thoughtfully designed, effectively implemented, and well received by users so that the significant investment associated with developing rail technologies is not wasted.
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Utilization-Focused Evaluation
The Fifth Edition of the bestselling Utilization-Focused Evaluation provides expert, detailed advice on conducting evaluations that promote effective use of the findings.Chock full of useful pedagogy, this book presents Michael Quinn Patton's distinctive opinions based on more than forty years of experience, and also the expertise of new co-author Charmagne E.Campbell-Patton. The authors begin by describing the essence of utilization-focused evaluation, and then outline 10 operating principles.They conclude with chapters focused on how evaluation can be used to promote a more thoughtful, equitable, and sustainable world.Richly illustrated with examples, figures, and cartoons, this engaging text shows readers how to design and conduct evaluations that provide useful findings, and which contribute to a more equitable society. A companion website is available to accompany this book.
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