The author defends a conception of language as essentially a means for the reception of knowledge through testimony. He finds this account in the work of classical Indian philosophers of language, and presents a detailed analysis of their theories.

The first clear guide to the Semantic Web and its upcoming impact on the business world Imagine that, in 1992, someone handed you a book about the future of something called the World Wide Web. This book claimed that through a piece of software called a "browser", which accesses "web sites", the world economy and our daily lives would change forever. Would you have believed even 10 percent of that book? Did you take advantage of the first Internet wave and get ahead of the curve? Pull is the blueprint to the next disruptive wave. Some call it Web 3.0; others call it the semantic web. It's a fundamental transition from pushing information to pulling, using a new way of thinking and collaborating online. Using the principles of this book, you will slash 5-20 percent off your bottom line, make your customers happier, accelerate your industry, and prepare your company for the twenty-first century. It isn't going to be easy, and you don't have any choice. By 2015, your company will be more agile and your processes more flexible than you ever thought possible. The semantic web leads to possibilities straight from science fiction, such as buildings that can order their own supplies, eliminating the IRS, and lawyers finally making sense. But it also leads to major changes in every field, from shipping and retail distribution to health care and financial reporting. Through clear examples, case studies, principles, and scenarios, business strategist David Siegel takes you on a tour of this new world. You'll learn: -Which industries are already ahead. -Which industries are already dead. -How to make the power shift from pushing to pulling information. -How software, hardware, media, and marketing will all change. -How to plan your own strategy for embracing the semantic web. We are at the beginning of a new technology curve that will affect all areas of business. Right now, you have a choice. You can decide to start preparing for the exciting opportunities that lay ahead or you can leave this book on the shelf and get left in the dust like last time.

This open access book constitutes the refereed proceedings of the 15th International Conference on Semantic Systems, SEMANTiCS 2019, held in Karlsruhe, Germany, in September 2019. The 20 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 88 submissions. They cover topics such as: web semantics and linked (open) data; machine learning and deep learning techniques; semantic information management and knowledge integration; terminology, thesaurus and ontology management; data mining and knowledge discovery; semantics in blockchain and distributed ledger technologies.

Jody Azzouni argues that we involuntarily experience certain physical items, certain products of human actions, and certain human actions themselves as having meaning-properties. We understand these items as possessing meaning or as having (or being capable of having) truth values. For example, a sign on a door reading "Drinks Inside" strikes native English speakers as referring to liquids in the room behind the door. The sign has a truth value--if no drinks are found in the room, the sign is misleading. Someone pointing in a direction has the same effect: we experience her gesture as significant. Azzouni does not suggest that we don't recognize the expectations or intentions of speakers (including ourselves); we do recognize that the person pointing in a certain direction intends for us to understand her gesture's significance. Nevertheless, Azzouni asserts that we experience that gesture as having significance independent of her intentions. The gesture is meaningful on its own. The same is true of language, both spoken and written. We experience the meanings of language artifacts as independent of their makers' intentions in the same way that we experience an object's shape as a property independent of the object's color. There is a distinctive phenomenology to the experience of understanding language, and Semantic Perception shows how this phenomenology can be brought to bear as evidence for and against competing theories of language.

This volume contains selected contributions to the interdisciplinary symposium on 'Models of Meaning' held in Varna, September 25-28, 1988, under the auspices of the Institute of the Bulgarian Language of the Bulgarian Academy of Sciences. The aim of the meeting was to broaden the horizons of meaning research and the modeling of linguistic semantics, with contributions centering on the appropriate modeling of lexical, syntactic, and textual-semantic representations. The papers challenge some basic notions of semantics and reveal two main avenues of development in contemporary investigations. One is toward broadening the scope of investigativeness, the second is toward a greater domain-specificity as expressed in a greater sensitivity to pragmatics and meta-pragmatic concerns.

The book is an investigation of the semantics of numericals, counting and measuring, and its connection to the mass/count distinction from a theoretical and crosslinguistic perspective. It reviews some recent major linguistic results in these topics, and presents the author's new research including in-depth case studies of a number of typologically unrelated languages.

What value does semantic data modeling offer? As an information architect or data science professional, let’s say you have an abundance of the right data and the technology to extract business gold—but you still fail. The reason? Bad data semantics. In this practical and comprehensive field guide, author Panos Alexopoulos takes you on an eye-opening journey through semantic data modeling as applied in the real world. You’ll learn how to master this craft to increase the usability and value of your data and applications. You’ll also explore the pitfalls to avoid and dilemmas to overcome for building high-quality and valuable semantic representations of data. Understand the fundamental concepts, phenomena, and processes related to semantic data modeling Examine the quirks and challenges of semantic data modeling and learn how to effectively leverage the available frameworks and tools Avoid mistakes and bad practices that can undermine your efforts to create good data models Learn about model development dilemmas, including representation, expressiveness and content, development, and governance Organize and execute semantic data initiatives in your organization, tackling technical, strategic, and organizational challenges