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Social Machines
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...
Semantic Web for the Working Ontologist
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 ...
Spinning the Semantic Web
A guide to the Semantic Web, which will transform the Web into a structured network of resources organized by meaning and relationships.
Robots for Kids
This work brings together the insights of ten designers, researchers, and educators, each invited to contribute a chapter that relates his or her experience develping or using a children's robotic learning device. This growing area of endeavour is expected to have prodound and long-lasting effets on the ways children learn and develop, and its participants come from a wide range of backgrounds.
Expert Systems
This text takes a broad view of the work going on in the development of user interfaces for expert systems and examines the expert system building process both in academic and industrial surroundings. The development of an expert system is viewed as containing three separate, but highly interacting components: knowledge capture, programming and debugging the system, and finally placing the system before an active user community. Some of the issues in each of the three components, the application of general human factors principles in the design of expert systems, the special needs in the design of expert systems, and the efficacy of these interfaces.
A Framework for Web Science
Originally published as Foundations and trends in web science; vol. 1, issue 1.
Semantic Web for the Working Ontologist
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...
Handbook of Semantic Web Technologies
After years of mostly theoretical research, Semantic Web Technologies are now reaching out into application areas like bioinformatics, eCommerce, eGovernment, or Social Webs. Applications like genomic ontologies, semantic web services, automated catalogue alignment, ontology matching, or blogs and social networks are constantly increasing, often driven or at least backed up by companies like Google, Amazon, YouTube, Facebook, LinkedIn and others. The need to leverage the potential of combining information in a meaningful way in order to be able to benefit from the Web will create further demand for and interest in Semantic Web research. This movement, based on the growing maturity of related...
integrating Marker Passing and Problem Solving
A recent area of interest in the Artificial Intelligence community has been the application of massively parallel algorithms to enhance the choice mechanism in traditional AI problems. This volume provides a detailed description of how marker-passing -- a parallel, non-deductive, spreading activation algorithm -- is a powerful approach to refining the choice mechanisms in an AI problem-solving system. The author scrutinizes the design of both the algorithm and the system, and then reviews the current literature and research in planning and marker passing. Also included: a comparison of this computer model with some standard cognitive models, and a comparison of this model to the "connectionist" approach.
Aaron Swartz's The Programmable Web
This short work is the first draft of a book manuscript by Aaron Swartz written for the series "Synthesis Lectures on the Semantic Web" at the invitation of its editor, James Hendler. Unfortunately, the book wasn't completed before Aaron's death in January 2013. As a tribute, the editor and publisher are publishing the work digitally without cost. From the author's introduction: " . . . we will begin by trying to understand the architecture of the Web -- what it got right and, occasionally, what it got wrong, but most importantly why it is the way it is. We will learn how it allows both users and search engines to co-exist peacefully while supporting everything from photo-sharing to financia...
