James Hendler

Dean Allemang

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. Updated with the latest developments and advances in Semantic Web technologies for organizing, querying, and processing information, including SPARQL, RDF and RDFS, OWL 2.0, and SKOS Detailed information on the ontologies used in today's key web applications, including ecommerce, social networking, data mining, using government data, and more Even more illustrative examples and case studies that demonstrate what semantic technologies are and how they work together to solve real-world problems

Effective Modeling in RDFS and OWL

Semantic Web for the Working Ontologist

Wei Song

Xuemin Lin

Guojun Wang

Zhuoming Xu

Genggeng Liu

This book constitutes the proceedings of the 17th International Conference on Web Information Systems and Applications, WISA 2020, held in Guangzhou, China, in September 2020. The 42 full papers and 16 short papers presented were carefully reviewed and selected from 165 submissions. The papers are grouped in topical sections on world wide web, recommendation, query processing and algorithm, natural language processing, machine learning, graph query, edge computing and data mining, data privacy and security, and blockchain.

17th International Conference, WISA 2020, Guangzhou, China, September 23–25, 2020, Proceedings

Web Information Systems and Applications

Ian Horrocks

This book constitutes the refereed proceedings of the First International Semantic Web Conference, ISWC 2002, held in Sardinia, Italy, in June 2002. The 27 revised full research papers, 6 position papers, and 7 system descriptions presented were carefully reviewed and selected from a total of 133 submissions. All current issues in this exciting new field are addressed, ranging from theoretical aspects to applications in various fields.

First International Semantic Web Conference, Sardinia, Italy, June 9-12, 2002, Proceedings

The Semantic Web - ISWC 2002

Fabien Gandon

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.

Effective Modeling for Linked Data, RDFS, and OWL

Semantic Web for the Working Ontologist: Effective Modeling for Linked Data, RDFS, and OWL

Alice M. Mulvehill

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 What the concept of a social machine is and how the activities of non-programmers are contributing to machine intelligence 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 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 How the change in attitudes towards cooperative work on the Web, especially in the younger demographic, is critical to the future of Web applications 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.

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

Social Machines

Artificial Intelligence Planning Systems documents the proceedings of the First International Conference on AI Planning Systems held in College Park, Maryland on June 15-17, 1992. This book discusses the abstract probabilistic modeling of action; building symbolic primitives with continuous control routines; and systematic adaptation for case-based planning. The analysis of ABSTRIPS; conditional nonlinear planning; and building plans to monitor and exploit open-loop and closed-loop dynamics are also elaborated. This text likewise covers the modular utility representation for decision-theoretic planning; reaction and reflection in tetris; and planning in intelligent sensor fusion. Other topics include the resource-bounded adaptive agent, critical look at Knoblock's hierarchy mechanism, and traffic laws for mobile robots. This publication is beneficial to students and researchers conducting work on AI planning systems.

Proceedings of the First Conference (AIPS 92)

Artificial Intelligence Planning Systems

James A. Hendler

Allison Druin

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

Exploring New Technologies for Learning

Robots for Kids

Artificial Intelligence Planning Systems.

James Hendler

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