Responding to cultural demands for meaning, user-friendliness, and fun as well as the opportunities of the emerging information society, The Semantic Turn boldly outlines a new science for design that gives designers previously unavailable grounds on which to state their claims and validate their designs. It sets the stage by reviewing the h

J. Albert Coffa traces the roots of logical positivism in a semantic tradition that arose in opposition to Kant's theory that a priori knowledge is based on pure intuition.

Philosophers will be richly rewarded by reading John O’Callaghan’s new book, Thomistic Realism and the Linguistic Turn. Based on his broad knowledge of Aristotle and Aquinas, O’Callaghan provides not only an excellent treatment of Aquinas’s epistemology but also a superb demonstration of just how Aquinas might contribute to contemporary debates. Traditionally, the camps of realism and idealism fiercely engaged one another in the field of epistemology. Thomists participated in confronting idealism from their unique realist position. Post-Wittgenstein, the conflict has been dominated by a form of epistemology that grounds all knowledge in linguistic practice. Since Thomists work in a textual and historical mode, their response to the technical approach of the analytic philosophy in which most of the linguistic epistemologists write has been slow in coming. O’Callaghan expertly closes that gap by successfully bringing together these fields.

A complex series of extensions to the World Wide Web, the Semantic Web's purpose is to make data and services far more accessible to computers and far more useful for people than the web we know today. Written for developers and programmers, this guide seeks to acquaint these users with the basic technologies and their interrelations that will be likely to play key roles in the Semantic Web. Covered are key technology areas such as knowledge modeling (RDF, Topic Maps), agents (DAML, FIPA), and Trust and Authentication. A basic conceptual approach is taken so that developers and programmers with a wide range of backgrounds and interests come to understand the essential nature of these areas, how they work, and something about some specific technologies that are being used or proposed. Important points are illustrated with diagrams and code fragments to help develop a familiarity with these Semantic Web initiatives.

A User's Guide to Thought and Meaning presents a profound and arresting integration of the faculties of the mind - of how we think, speak, and see the world. Ray Jackendoff starts out by looking at languages and what the meanings of words and sentences actually do. He shows that meanings are more adaptive and complicated than they're commonly given credit for, and he is led to some basic questions: How do we perceive and act in the world? How do we talk about it? And how can the collection of neurons in the brain give rise to conscious experience? As it turns out, the organization of language, thought, and perception does not look much like the way we experience things, and only a small part of what the brain does is conscious. Jackendoff concludes that thought and meaning must be almost completely unconscious. What we experience as rational conscious thought - which we prize as setting us apart from the animals - in fact rides on a foundation of unconscious intuition. Rationality amounts to intuition enhanced by language. Written with an informality that belies both the originality of its insights and the radical nature of its conclusions, A User's Guide to Thought and Meaning is the author's most important book since the groundbreaking Foundations of Language in 2002.

Introduces the major elements of semantics in a simple, step-by-step fashion. Sections of explanation and examples are followed by practice exercises with answers and comment provided.

Semantic change — how the meanings of words change over time — has preoccupied scholars since well before modern linguistics emerged in the late 19th and early 20th century, ushering in a new methodological turn in the study of language change. Compared to changes in sound and grammar, semantic change is the least understood. Ever since, the study of semantic change has progressed steadily, accumulating a vast store of knowledge for over a century, encompassing many languages and language families. Historical linguists also early on realized the potential of computers as research tools, with papers at the very first international conferences in computational linguistics in the 1960s. Such computational studies still tended to be small-scale, method-oriented, and qualitative. However, recent years have witnessed a sea-change in this regard. Big-data empirical quantitative investigations are now coming to the forefront, enabled by enormous advances in storage capability and processing power. Diachronic corpora have grown beyond imagination, defying exploration by traditional manual qualitative methods, and language technology has become increasingly data-driven and semantics-oriented. These developments present a golden opportunity for the empirical study of semantic change over both long and short time spans. A major challenge presently is to integrate the hard-earned knowledge and expertise of traditional historical linguistics with cutting-edge methodology explored primarily in computational linguistics. The idea for the present volume came out of a concrete response to this challenge. The 1st International Workshop on Computational Approaches to Historical Language Change (LChange'19), at ACL 2019, brought together scholars from both fields. This volume offers a survey of this exciting new direction in the study of semantic change, a discussion of the many remaining challenges that we face in pursuing it, and considerably updated and extended versions of a selection of the contributions to the LChange'19 workshop, addressing both more theoretical problems — e.g., discovery of "laws of semantic change" — and practical applications, such as information retrieval in longitudinal text archives.