Covering the theory, technical components and applications of the Semantic Web, this book’s unrivalled coverage includes the latest on W3C standards such as OWL 2, and discusses new projects such as DBpedia. It also shows how to put theory into practice.
In this work, Metzler describes highly effective information retrieval models for both smaller, classical data sets, and larger Web collections. In a shift away from heuristic, hand-tuned ranking functions and complex probabilistic models, he presents feature-based retrieval models. As he shows, combining term dependencies and arbitrary features results in a very robust, powerful retrieval model.
This book presents a new way to look at topical relevance in information retrieval and offers a new method for modeling exchangeable sequences of discrete random variables which does not make any assumptions about the data and can also handle rare events.
Presents novel ways for helping HCI designers communicate why they want to promote users’ contact with cultural diversity, presenting five cultural viewpoint metaphors supporting reasoning and decision-making in dimensions of intercultural experience.
Using the BCI2000 software platform, this volume provides an introduction to Brain-Computer Interface (BCI) experiments. Basic BCI operating principles are described, in addition to signal processing, and a variety of brain signal acquisition methods.
This book’s unique approach encourages readers to derive their own conclusions via experimentation, enabling them to discover for themselves the fundamental and exciting topics of computer architecture. Each chapter concludes with a set of example problems.
This book presents a new paradigm that allows modeling and analysis of software applications at an early stage of the design process. It covers foundational aspects before introducing guidelines and methodologies to exemplify case studies.