James Hendler – författare

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 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

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.

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 counterclaimsof 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 LearnWhat the concept of a social machine is and how the activities of non-programmers are contributing to machine intelligenceHow 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 collectionsThe 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 TwitterHow the change in attitudes towards cooperative work on the Web, especially in the younger demographic, is critical to the future of Web applicationsWho 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 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.

This volume contains the papers presented at the First International Sem- tic Web Conference (ISWC 2002) held in Sardinia, Italy, 9-12th June, 2002. The conference followed on from the highly successful Semantic Web Working Symposium held at Stanford University, USA in 2001. A total of 133 papers were submitted to ISWC 2002, comprising 95 research papers, 22 position papers, and 16 system description papers. Each submission was evaluated by at least two referees, mainly members of the Program Comm- tee. This resulted in the selection of 40 papers for presentation at the conference and publication in this volume. Of these, 27 are research papers, 6 are position papers, and 7 are system description papers. We would like to thank the many people who made ISWC 2002 possible. In particular, we are grateful to the following groups and individuals: Je? Pan for help with the conference management software and proceedings; the p- gram committee for their reviewing e?orts and advice on organizational details; Michele Missiko? and Nicoletta Dess'? for conference organization and local co- dination; J'erome Euzenat for ?nancial organization and the conference web site; Asunci' on G' omez-P'erez for organizing the tutorials; Raphael Malyankar for - ganizing the poster session; Ste?en Staab, Siegfried Handschuh, and Marc Ehrig for organizing semantic markup; Deborah McGuinness and Ying Ding for - ranging sponsorship; and the sponsors themselves for their moral and ?nancial support.

When Sir Tim Berners-Lee first proposed the foundations of the World Wide Web at CERN in 1989, his manager called it "vague, but exciting." How things have changed since then! Twenty-six years later, Berners-Lee won the ACM Turing Award "for inventing the World Wide Web, the first Web browser, and the fundamental protocols and algorithms allowing the Web to scale." This book is a compilation of articles on the original ideas of a true visionary and the subsequent research and development work he has led, helping to realize the Web's full potential. It is intended for readers interested in the Web's original technical development, how it has changed over time, and the social impacts of the Web as steered by Berners-Lee since the very beginning.The book covers Berners-Lee's development of the key protocols, naming schemes, and markup languages that led to his "world wide web" program and ultimately to the Web as we know it today. His early efforts were refined as Web technology spread around the world, and he was further guided by the work of the World Wide Web Consortium, which he founded and still directs. He was instrumental in the conceptualization and realization of the Semantic Web, a field that is gaining momentum in the age of big data and knowledge graphs; was a driving force for the field of Web Science, a new and growing research area dedicated to the study of both the engineering and the impacts of the Web; and he continues to innovate through his research work at MIT on open and decentralized information. Berners-Lee is also known for his contributions to keeping the Web open and ubiquitous via his work with the World Wide Web Foundation, the UK's Open Data Institute and his recent call for a crowdsourced magna carta for the Web. This book will help the reader to understand how Sir Tim's invention of the World Wide Web has revolutionized not just Computer Science, but global society itself.