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.

Leading philosophers and scientists consider what conclusions about color can be drawn when the latest analytic tools are applied to the most sophisticated color science.Philosophers and scientists have long speculated about the nature of color. Atomists such as Democritus thought color to be "conventional," not real; Galileo and other key figures of the Scientific Revolution thought that it was an erroneous projection of our own sensations onto external objects. More recently, philosophers have enriched the debate about color by aligning the most advanced color science with the most sophisticated methods of analytical philosophy. In this volume, leading scientists and philosophers examine new problems with new analytic tools, considering such topics as the psychophysical measurement of color and its implications, the nature of color experience in both normal color-perceivers and the color blind, and questions that arise from what we now know about the neural processing of color information, color consciousness, and color language. Taken together, these papers point toward a complete restructuring of current orthodoxy concerning color experience and how it relates to objective reality. Kuehni, Jameson, Mausfeld, and Niederee discuss how the traditional framework of a three-dimensional color space and basic color terms is far too simple to capture the complexities of color experience. Clark and MacLeod discuss the difficulties of a materialist account of color experience. Churchland, Cohen, Matthen, and Westphal offer competing accounts of color ontology. Finally, Broackes and Byrne and Hilbert discuss the phenomenology of color blindness.Contributors Justin Broackes, Alex Byrne, Paul M. Churchland, Austen Clark, Jonathan Cohen, David R. Hilbert, Kimberly A. Jameson, Rolf Kuehni, Don I.A. MacLeod, Mohan Matthen, Rainer Mausfeld, Richard Niederée, Jonathan Westphal

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

Ontology was once understood to be the philosophical inquiry into the structure of reality: the analysis and categorization of ‘what there is’. Recently, however, a field called ‘ontology’ has become part of the rapidly growing research industry in information technology. The two fields have more in common than just their name. Theory and Applications of Ontology is a two-volume anthology that aims to further an informed discussion about the relationship between ontology in philosophy and ontology in information technology. It fills an important lacuna in cutting-edge research on ontology in both fields, supplying stage-setting overview articles on history and method, presenting directions of current research in either field, and highlighting areas of productive interdisciplinary contact. Theory and Applications of Ontology: Philosophical Perspectives presents ontology in philosophy in ways that computer scientists are not likely to find elsewhere. The volume offers an overview of current research traditions in ontology, contrasting analytical, phenomenological, and hermeneutic approaches. It introduces the reader to current philosophical research on those categories of everyday and scientific reasoning that are most relevant to present and future research in information technology.

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.

In his well-known Discourse on Metaphysics, Leibniz puts individual substance at the basis of metaphysical building. In so doing, he connects himself to a venerable tradition. His theory of individual concept, however, breaks with another idea of the same tradition, that no account of the individual as such can be given. Contrary to what has been commonly accepted, Leibniz’s intuitions are not the mere result of the transcription of subject-predicate logic, nor of the uncritical persistence of some old metaphysical assumptions. They grow, instead, from an unprejudiced inquiry about our basic ontological framework, where logic of truth, linguistic analysis, and phenomenological experience of the mind’s life are tightly interwoven. Leibniz’s struggle for a concept capable of grasping concrete individuals as such is pursued in an age of great paradigm changes – from the Scholastic background to Hobbes’s nominalism to the Cartesian ‘way of ideas’ or Spinoza’s substance metaphysics – when the relationships among words, ideas and things are intensively discussed and wholly reshaped. This is the context where the genesis and significance of Leibniz’s theory of ‘complete being’ and its concept are reconstrued. The result is a fresh look at some of the most perplexing issues in Leibniz scholarship, like his ideas about individual identity and the thesis that all its properties are essential to an individual. The questions Leibniz faces, and to which his theory of individual substance aims to answer, are yet, to a large extent, those of contemporary metaphysics: how to trace a categorial framework? How to distinguish concrete and abstract items? What is the metaphysical basis of linguistic predication? How is trans-temporal sameness assured? How to make sense of essential attributions? In this ontological framework Leibniz’s further questions about the destiny of human individuals and their history are spelt out. Maybe his answers also have something to tell us. This book is aimed at all who are interested in Leibniz’s philosophy, history of early modern philosophy and metaphysical issues in their historical development.

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.

"This book provides cutting-edge research on reality, its nature and fundamental structure, represented both by human minds and intelligent machines.--striving to describe a world model and ontology; organized human knowledge; powerful reasoning systems; and secure communication interoperability between human beings and computing reasoning systems promising the profound revolution in human values and ways of life"--Provided by publisher.

Ontology Learning for the Semantic Web explores techniques for applying knowledge discovery techniques to different web data sources (such as HTML documents, dictionaries, etc.), in order to support the task of engineering and maintaining ontologies. The approach of ontology learning proposed in Ontology Learning for the Semantic Web includes a number of complementary disciplines that feed in different types of unstructured and semi-structured data. This data is necessary in order to support a semi-automatic ontology engineering process. Ontology Learning for the Semantic Web is designed for researchers and developers of semantic web applications. It also serves as an excellent supplemental reference to advanced level courses in ontologies and the semantic web.

The book on Ontology in Information Science explores a broad set of ideas and presents some of the state-of-the-art research in this field concisely in 12 chapters. This book provides researchers and practitioners working in the field of ontology and information science an opportunity to share their theories, methodologies, experiences, and experimental results related to ontology development and application in various areas. It also includes the design aspects of domain ontologies considering the architecture, development strategy, and selection of tools. The intended audience of this book will mainly consist of researchers, research students, and practitioners in the field of ontology and information science.