The promise of the Semantic Web to provide a universal medium to exchange data information and knowledge has been well publicized. There are many sources too for basic information on the extensions to the WWW that permit content to be expressed in natural language yet used by software agents to easily find, share and integrate information. Until now individuals engaged in creating ontologies-- formal descriptions of the concepts, terms, and relationships within a given knowledge domain-- have had no sources beyond the technical standards documents. Semantic Web for the Working Ontologist transforms this information into the practical knowledge that programmers and subject domain experts need. Authors Allemang and Hendler begin with solutions to the basic problems, but don’t stop there: they demonstrate how to develop your own solutions to problems of increasing complexity and ensure that your skills will keep pace with the continued evolution of the Semantic Web.

Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL

Computers & Technology

Hendler, James

Allemang, Dean

Computer Science

Morgan Kaufmann

Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL, Second Edition, discusses the capabilities of Semantic Web modeling languages, such as RDFS (Resource Description Framework Schema) and OWL (Web Ontology Language). Organized into 16 chapters, the book provides examples to illustrate the use of Semantic Web technologies in solving common modeling problems. It uses the life and works of William Shakespeare to demonstrate some of the most basic capabilities of the Semantic Web. The book first provides an overview of the Semantic Web and aspects of the Web. It then discusses semantic modeling and how it can support the development from chaotic information gathering to one characterized by information sharing, cooperation, and collaboration. It also explains the use of RDF to implement the Semantic Web by allowing information to be distributed over the Web, along with the use of SPARQL to access RDF data. Moreover, the reader is introduced to components that make up a Semantic Web deployment and how they fit together, the concept of inferencing in the Semantic Web, and how RDFS differs from other schema languages. Finally, the book considers the use of SKOS (Simple Knowledge Organization System) to manage vocabularies by taking advantage of the inferencing structure of RDFS-Plus. This book is intended for the working ontologist who is trying to create a domain model on the Semantic Web.

Semantic Web for the Working Ontologist: Effective Modeling for Linked Data, Rdfs, and Owl (ACM Books)

Enterprises have made amazing advances by taking advantage of data about their business to provide predictions and understanding of their customers, markets, and products. But as the world of business becomes more interconnected and global, enterprise data is no long a monolith; it is just a part of a vast web of data. Managing data on a world-wide scale is a key capability for any business today. 
The Semantic Web treats data as a distributed resource on the scale of the World Wide Web, and incorporates features to address the challenges of massive data distribution as part of its basic design. The aim of the first two editions was to motivate the Semantic Web technology stack from end-to-end; to describe not only what the Semantic Web standards are and how they work, but also what their goals are and why they were designed as they are. It tells a coherent story from beginning to end of how the standards work to manage a world-wide distributed web of knowledge in a meaningful way. 
The third edition builds on this foundation to bring Semantic Web practice to enterprise. Fabien Gandon joins Dean Allemang and Jim Hendler, bringing with him years of experience in global linked data, to open up the story to a modern view of global linked data. While the overall story is the same, the examples have been brought up to date and applied in a modern setting, where enterprise and global data come together as a living, linked network of data. Also included with the third edition, all of the data sets and queries are available online for study and experimentation at data.world/swwo.

Semantic Web for the Working Ontologist: Effective Modeling for Linked Data, RDFS, and OWL (ACM Books)

Gandon, Fabien

Association for Computing Machinery

Will your next doctor be a human being―or a machine? Will you have a choice? If you do, what should you know before making it?This book introduces the reader to the pitfalls and promises of artificial intelligence (AI) in its modern incarnation and the growing trend of systems to "reach off the Web" into the real world. The convergence of AI, social networking, and modern computing is creating an historic inflection point in the partnership between human beings and machines with potentially profound impacts on the future not only of computing but of our world and species.AI experts and researchers James Hendler―co-originator of the Semantic Web (Web 3.0)―and Alice Mulvehill―developer of AI-based operational systems for DARPA, the Air Force, and NASA―explore the social implications of AI systems in the context of a close examination of the technologies that make them possible. The authors critically evaluate the utopian claims and dystopian counterclaims of AI prognosticators. Social Machines: The Coming Collision of Artificial Intelligence, Social Networking, and Humanity is your richly illustrated field guide to the future of your machine-mediated relationships with other human beings and with increasingly intelligent machines. What Readers Will Learn
<ul>
<li>What the concept of a social machine is and how the activities of non-programmers are contributing to machine intelligence 
</li>
<li>How modern artificial intelligence technologies, such as Watson, are evolving and how they process knowledge from both carefully produced information (such as Wikipedia and journal articles) and from big data collections 
</li>
<li>The fundamentals of neuromorphic computing, knowledge graph search, and linked data, as well as the basic technology concepts that underlie networking applications such as Facebook and Twitter 
</li>
<li>How the change in attitudes towards cooperative work on the Web, especially in the younger demographic, is critical to the future of Web applications 
</li>
</ul>
 Who This Book Is ForGeneral readers and technically engaged developers, entrepreneurs, and technologists interested in the threats and promises of the accelerating convergence of artificial intelligence with social networks and mobile web technologies.

Social Machines: The Coming Collision of Artificial Intelligence, Social Networking, and Humanity

Mulvehill, Alice M.

Apress

Although numerous review articles on planning have appeared over the years, no systematic attempt has been made to collect the major papers in this field into one volume. The goal of this book is to remedy this situation by bringing together in one place a set of readings that can be used to develop a familiarity with the planning literature, with the major AI theory underlying planning, and with the exciting directions of current research. 
The first section of the book introduces the techniques and terminology of the AI planning community. The second section collects papers describing planning systems developed over the past 30 years. A third section presents research in the area of formal models of planning. Finally, a fourth section collects recent work representative of the field's current direction. The editors, three accomplished researchers, provide introductory material surveying the field of planning as well as introductions to groups of papers placing the work in perspective. 
A useful reference for AI system developers and researchers, this work is also suitable for use as a text for a planning course or as a supplemental text for a more general AI course.

Readings in Planning (Morgan Kaufmann Series in Representation and Reasoning)

ALLEN, JAMES

Science & Math

Morgan Kaufmann Pub

Within the sphere of children's learning and play, the concept of robot and the application of actual robots are undergoing a dramatic expansion. Here the term "robot" refers to a growing range of interactive devices-including toys, pets, assistants to the disabled, and overtly educational tools-which are being used in ways that are expected to have profound and beneficial effects on how our children develop and grow.
 Robots for Kids: Exploring New Technologies for Learning opens with contributions from leading designers and researchers, each offering a unique perspective into the challenge of developing robots specifically for children. The second part is devoted to the stories of educators who work with children using these devices, exploring new applications and mapping their impact. Throughout the book, essays by children are included that discuss their first-hand experiences and ideas about robots. This is an engaging, entertaining, and insightful book for a broad audience, including HCI, AI, and robotics researchers in business and academia, new media and consumer product developers, robotics hobbyists, toy designers, teachers, and education researchers. * contributions by leaders in the fields of human-computer interaction and robotics * product development stories told by leading designers and researchers in organizations such as Microsoft, MIT Media Lab, Disney, and Sony * product application stories told by educators who are making robots a central part of kids' learning experiences, both in and out of the classroom * essays by kids-some, users of robotic technology, and others, designers in their own right

Robots for Kids: Exploring New Technologies for Learning (Interactive Technologies)

Druin, Allison

See the best price to sell, buy, or rent books by Hendler, James. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Hendler, James

See the best price to sell, buy, or rent books by Hendler, James. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL

Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL

Semantic Web for the Working Ontologist: Effective Modeling for Linked Data, RDFS, and OWL (ACM Books)

Social Machines: The Coming Collision of Artificial Intelligence, Social Networking, and Humanity

Readings in Planning (Morgan Kaufmann Series in Representation and Reasoning)

Robots for Kids: Exploring New Technologies for Learning (Interactive Technologies)