In this engaging and wide-ranging new book, Nikk Effingham provides an introduction to contemporary ontology - the study of what exists - and its importance for philosophy today. He covers the key topics in the field, from the ontology of holes, numbers and possible worlds, to space, time and the ontology of material objects - for instance, whether there are composite objects such as tables, chairs or even you and me. While starting from the basics, every chapter is up-to-date with the most recent developments in the field, introducing both longstanding theories and cutting-edge advances. As well as discussing the latest issues in ontology, Effingham also helpfully deals in-depth with different methodological principles (including theory choice, Quinean ontological commitment and Meinongianism) and introduces them alongside an example ontological theory that puts them into practice. This accessible and comprehensive introduction will be essential reading for upper-level undergraduate and post-graduate students, as well as any reader interested in the present state of the subject.

The philosophical study of what exists and what it means for something to exist is one of the core concerns of metaphysics. This introduction to ontology provides readers with a comprehensive account of the central ideas of the subject of being. This book is divided into two parts. The first part explores questions of pure philosophical ontology: what is meant by the concept of being, why there exists something rather than nothing, and why there is only one logically contingent actual world. Dale Jacquette shows how logic provides the only possible answers to these fundamental problems. The second part of the book examines issues of applied scientific ontology. Jacquette offers a critical survey of some of the most influential traditional ontologies, such as the distinction between appearance and reality, and the categories of substance and transcendence. The ontology of physical entities - space, time, matter and causation - is examined as well as the ontology of abstract entities such as sets, numbers, properties, relations and propositions. The special problems posed by the subjectivity of mind and of postulating a god are also explored in detail. The final chapter examines the ontology of culture, language and art.

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

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.

This volume aims to develop the easy approach to ontology, showing how it leads to both a first-order simple realism about the disputed entities and a form of metaontological deflationism that takes ontological disputes themselves to be misguided, since existence questions may be answered by straightforward conceptual and/or empirical work. It also aims to defend the easy approach against a range of objections and to show it to be a viable and attractive alternative to hard ontology.

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

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.