Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. This has led to an increasing demand for powerful software tools to help people analyze and manage vast amounts of text data effectively and efficiently. Unlike data generated by a computer system or sensors, text data are usually generated directly b...

This book explores multidimensional issues concerning digital resilience and analyzes how people and organizations maintain, enhance and protect value stemming from digital technologies. Society is now heading for a future in which organizations and people will increasingly depend on digital technologies, yet to date many are still unaware of the scale and risks associated with the digital transformation. As a result, there is an urgent need for digital resilience to drive a fundamental sh...

This book constitutes the proceedings of the 7th International Formal Ontologies Meet Industries Workshop held in Berlin, Germany, in August 2015. The 11 full research papers accepted for FOMI 2015 were selected from 18 submissions. The papers focus on theoretical studies of formal ontologies committed to provide a sound basis for industrial applications and to allow formal representation of corporate knowledge, and on business experiences in case studies that single out concrete problems ...

Many claims are made about how certain tools, technologies, and practices improve software development. But which claims are verifiable, and which are merely wishful thinking? In this book, leading thinkers such as Steve McConnell, Barry Boehm, and Barbara Kitchenham offer essays that uncover the truth and unmask myths commonly held among the software development community. Their insights may surprise you.Are some programmers really ten times more productive than others?...

This third volume of the best-selling "Data Model Resource Book" series revolutionizes the data modeling discipline by answering the question "How can you save significant time while improving the quality of any type of data modeling effort?" In contrast to the first two volumes, this new volume focuses on the fundamental, underlying patterns that affect over 50 percent of most data modeling efforts. These patterns can be used to considerably reduce modeling time and cost, to jump-start da...

You don't need to be convinced. You know that usability is key to the success of any interactive system-from commercial software to B2B Web sites to handheld devices. But you need skills to make usability part of your product development equation. How will you assess your users' needs and preferences? How will you design effective solutions that are grounded in users' current practices? How will you evaluate and refine these designs to ensure a quality product?Usability Engineering: Scenar...

In this age of information overload, people use a variety of strategies to make choices about what to buy, how to spend their leisure time, and even whom to date. Recommender systems automate some of these strategies with the goal of providing affordable, personal, and high-quality recommendations. This book offers an overview of approaches to developing state-of-the-art recommender systems. The authors present current algorithmic approaches for generating personalized buying proposals, su...

Using Software in Qualitative Research is an essential introduction to the practice and principles of Computer Assisted Qualitative Data Analysis (CAQDAS). The book will help you to choose the most appropriate package for your needs and get the most out of the software once you are using it.This book considers a wide range of tasks and processes in the data management and analysis process, and shows how software can help you at each stage. In the new edition, the authors present th...

Information and its management is central to modern society. Organizations – private and public, national and international – have recognized that information is a key resource and that its management is critical for success.Existing books on information management focus on the abilities of computers to process data, the development of information systems, and the management of IT resources. They often start with the computer as a key issue. Although Information Management...

A concise, hands-on guide with many practical examples and a detailed treatise on inference and social science research that will help you in mining data in the real world. Whether you are an undergraduate who wishes to get hands-on experience working with social data from the Web, a practitioner wishing to expand your competencies and learn unsupervised sentiment analysis, or you are simply interested in social data analysis, this book will prove to be an essential asset. No previous expe...

The issue of data quality is as old as data itself. However, the proliferation of diverse, large-scale and often publically available data on the Web has increased the risk of poor data quality and misleading data interpretations. On the other hand, data is now exposed at a much more strategic level e.g. through business intelligence systems, increasing manifold the stakes involved for individuals, corporations as well as government agencies. There, the lack of knowledge about data accurac...