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Social Machines
- The Coming Collision of Artificial Intelligence, Social Networking, and Humanity
© 2016

Social Machines












Autoren: James Hendler, Alice Mulvehill
Umfang: 174 S.
Copyright: 2016
Verlag: Apress

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

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
This book is for general 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.

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Linked Open Data
- Creating Knowledge Out of Interlinked Data
© 2014

Results of the LOD2 Project (Open Access)

Linked Open Data -- Creating Knowledge Out of Interlinked Data

Herausgeber: Sören Auer, Volha Bryl, Sebastian Tramp
Umfang: 215 S.
Copyright: 2014
Verlag: Springer International Publishing

Provides an overview on some key aspects of the emerging field of Linked Data
Describes a diverse number of research, technology and application advances and refers the reader to further detailed technical information in the project deliverables and original publications
Includes use cases, describing applications of the project results in the publishing, linked enterprise data and open government data realms

Linked Open Data (LOD) is a pragmatic approach for realizing the Semantic Web vision of making the Web a global, distributed, semantics-based information system. This book presents an overview on the results of the research project “LOD2 -- Creating Knowledge out of Interlinked Data”. LOD2 is a large-scale integrating project co-funded by the European Commission within the FP7 Information and Communication Technologies Work Program. Commencing in September 2010, this 4-year project comprised leading Linked Open Data research groups, companies, and service providers from across 11 European countries and South Korea. The aim of this project was to advance the state-of-the-art in research and development in four key areas relevant for Linked Data, namely 1. RDF data management; 2. the extraction, creation, and enrichment of structured RDF data; 3. the interlinking and fusion of Linked Data from different sources and 4. the authoring, exploration and visualization of Linked Data.


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Ontology-based Application Integration
- Foreword by Johannes Fürnkranz
© 2011

Ontology-based Application Integration

Autor: Heiko Paulheim
Umfang: 270 S.
Copyright: 2011
Verlag: Springer-Verlag New York

Includes a running case study of a real system from the emergency management domain
Illustrates the feasibility of semantic technologies using a non-sandbox example
Discusses how end users, not only developers, can benefit from semantic technologies

Ontology-based Application Integration introduces UI-level (User Interface Level) application integration and discusses current problems which can be remedied by using ontologies. It shows a novel approach for applying ontologies in system integration. While ontologies have been used for integration of IT systems on the database and on the business logic layer, integration on the user interface layer is a novel field of research. This book also discusses how end users, not only developers, can benefit from semantic technologies.

Ontology-based Application Integration presents the development of a software framework including a detailed ontology about user interfaces and interactions. This includes a running case study of a real world integrated emergency management system. The last section of this book discusses useful features that can be built on top of the framework for improving the user experience with future integrated information systems.

Ontology-based Application Integration is designed as a reference book for practitioners and researchers who understand and work with the principles of applying semantic web technologies to a software engineering problem. This book will also make an excellent reference or secondary text book for advanced-level students concentrating on computer science.


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Modular Ontologies
- Concepts, Theories and Techniques for Knowledge Modularization
© 2009

Modular Ontologies

Herausgeber: Heiner Stuckenschmidt, Christine Parent, Stefano Spaccapietra
Umfang: 378 S.
Copyright: 2009
Verlag: Springer-Verlag Berlin Heidelberg

This book constitutes a collection of research achievements mature enough to provide a firm and reliable basis on modular ontologies. It gives the reader a detailed analysis of the state of the art of the research area and discusses the recent concepts, theories and techniques for knowledge modularization.

The 13 papers presented in this book were all carefully reviewed before publication. They have been organized in three parts: Part I gives a general introduction to the idea and issues characterizing modularization and offers an in-depth analysis of properties, criteria and knowledge import techniques for modularization. Part II describes four major research proposals for creating modules from an existing ontology either by partitioning an ontology into a collection of modules or by extracting one or more modules from the ontology. Part III reports on collaborative approaches where modules that pre-exist are linked together through mappings to form a virtual large ontology.


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