Existence questions have been topics for heated debates in metaphysics, but this book argues that they can often be answered easily, by trivial inferences from uncontroversial premises. This 'easy' approach to ontology leads to realism about disputed entities, and to the view that metaphysical disputes about existence questions are misguided.

An Introduction to Ontology Engineering introduces the student to a comprehensive overview of ontology engineering, and offers hands-on experience that illustrate the theory. The topics covered include: logic foundations for ontologies with languages and automated reasoning, developing good ontologies with methods and methodologies, the top-down approach with foundational ontologies, and the bottomup approach to extract content from legacy material, and a selection of advanced topics that includes Ontology-Based Data Access, the interaction between ontologies and natural languages, and advanced modelling with fuzzy and temporal ontologies. Each chapter contains review questions and exercises, and descriptions of two group assignments are provided as well. The textbook is aimed at advanced undergraduate/postgraduate level in computer science and could fi t a semester course in ontology engineering or a 2-week intensive course. Domain experts and philosophers may fi nd a subset of the chapters of interest, or work through the chapters in a different order. Maria Keet is an Associate Professor with the Department of Computer Science, University of Cape Town, South Africa. She received her PhD in Computer Science in 2008 at the KRDB Research Centre, Free University of Bozen-Bolzano, Italy. Her research focus is on knowledge engineering with ontologies and Ontology, and their interaction with natural language and conceptual data modelling, which has resulted in over 100 peer-reviewed publications. She has developed and taught multiple courses on ontology engineering and related courses at various universities since 2009.

An introduction to the field of applied ontology with examples derived particularly from biomedicine, covering theoretical components, design practices, and practical applications. In the era of “big data,” science is increasingly information driven, and the potential for computers to store, manage, and integrate massive amounts of data has given rise to such new disciplinary fields as biomedical informatics. Applied ontology offers a strategy for the organization of scientific information in computer-tractable form, drawing on concepts not only from computer and information science but also from linguistics, logic, and philosophy. This book provides an introduction to the field of applied ontology that is of particular relevance to biomedicine, covering theoretical components of ontologies, best practices for ontology design, and examples of biomedical ontologies in use. After defining an ontology as a representation of the types of entities in a given domain, the book distinguishes between different kinds of ontologies and taxonomies, and shows how applied ontology draws on more traditional ideas from metaphysics. It presents the core features of the Basic Formal Ontology (BFO), now used by over one hundred ontology projects around the world, and offers examples of domain ontologies that utilize BFO. The book also describes Web Ontology Language (OWL), a common framework for Semantic Web technologies. Throughout, the book provides concrete recommendations for the design and construction of domain ontologies.

"A wide-ranging study of the 'way of ideas' and its metaphysics, culminating in a bold reinterpretation of Berkeley."

Ontology is the philosophical discipline which aims to understand how things in the world are divided into categories and how these categories are related together. This is exactly what information scientists aim for in creating structured, automated representations, called ‘ontologies,’ for managing information in fields such as science, government, industry, and healthcare. Currently, these systems are designed in a variety of different ways, so they cannot share data with one another. They are often idiosyncratically structured, accessible only to those who created them, and unable to serve as inputs for automated reasoning. This volume shows, in a non-technical way and using examples from medicine and biology, how the rigorous application of theories and insights from philosophical ontology can improve the ontologies upon which information management depends.

Scholars from many different disciplines examine consciousness through the lens of intellectual approaches and cultures ranging from cosmology research and cell biophysics laboratories to pre-Columbian Mesoamerica and Tibetan Tantric Buddhism in a volume that extends consciousness studies beyond the limits of current neuroscience research. The "hard problem" of today's consciousness studies is subjective experience: understanding why some brain processing is accompanied by an experienced inner life. Recent scientific advances offer insights for understanding the physiological and chemical phenomenology of consciousness. But by leaving aside the internal experiential nature of consciousness in favor of mapping neural activity, such science leaves many questions unanswered. In Ontology of Consciousness, scholars from a range of disciplines—from neurophysiology to parapsychology, from mathematics to anthropology and indigenous non-Western modes of thought—go beyond these limits of current neuroscience research to explore insights offered by other intellectual approaches to consciousness. These scholars focus their attention on such philosophical approaches to consciousness as Tibetan Tantric Buddhism, North American Indian insights, pre-Columbian Mesoamerican civilization, and the Byzantine Empire. Some draw on artifacts and ethnographic data to make their point. Others translate cultural concepts of consciousness into modern scientific language using models and mathematical mappings. Many consider individual experiences of sentience and existence, as seen in African communalism, Hindi psychology, Zen Buddhism, Indian vibhuti phenomena, existentialism, philosophical realism, and modern psychiatry. Some reveal current views and conundrums in neurobiology to comprehend sentient intellection. Contributors Karim Akerma, Matthijs Cornelissen, Antoine Courban, Mario Crocco, Christian de Quincey, Thomas B. Fowler, Erlendur Haraldsson, David. J. Hufford, Pavel B. Ivanov, Heinz Kimmerle, Stanley Krippner, Armand J. Labbé, James Maffie, Hubert Markl, Graham Parkes, Michael Polemis, E Richard Sorenson, Mircea Steriade, Thomas Szasz, Mariela Szirko, Robert A.F. Thurman, Edith L.B. Turner, Julia Watkin, Helmut Wautischer

Though science and philosophy take different approaches to ontology, metaphysical inferences are relevant to interpreting scientific work, and empirical investigations are relevant to philosophy. This book argues that there is no uniquely rational way to determine which domains of ontology are appropriate for belief, making room for choice in a transformative account of scientific ontology.