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Taschenbuch. Condition: Neu. Neuware -Wissengraphen, und insbesondere die Entstehung und Evolution der sogenannten Linked Open Data Cloud im Internet, ermöglichen es - im Prinzip - ungeheure Mengen von Fakten und Bedeutungen miteinander zu verknüpfen. Die Linked Open Data Cloud ist ein Netzwerk, das aus Milliarden von Wissensbausteinen, einschließlich von Systemen der Ordnung des Wissens besteht. So finden sich neben Fakten Ontologien, Taxonomien, Klassifikationen, Thesauri und andere Systeme der Wissensorganisation, zugänglich für Menschen und Computer. Die Katalogisierung in Bibliotheken erlaubt uns den Zugang zu Wissen in Büchern über Jahrhunderte hinweg; aber Wissensorganisation umfasst auch Denkmodelle, die ein strukturiertes, gemeinsames Nachdenken möglich machen. Dieses Buch dokumentiert, wie die heutigen Möglichkeiten des Web, diese Breite von Wissensorganisation beeinflusst.Mit Beiträgen vonSören Auer, Gerard Coen, Kathleen Gregory, Mohamad Yaser Jaradeh, Daniel Martínez-Ávila, Philipp Mayr, Allard Oelen, M. Cristina Pattuelli, Tobias Renwick, Andrea Scharnhorst, Ronald Siebes, Aida Slavic, Richard P. Smiraglia, Markus Stocker, Rick Szostak, Marnix van Berchum, Charles van den Heuvel, James Bradford Young, Veruska Zamborlini und Marcia Lei Zeng. 249 pp. Englisch.
Taschenbuch. Condition: Neu. Neuware -Wissengraphen, und insbesondere die Entstehung und Evolution der sogenannten Linked Open Data Cloud im Internet, ermöglichen es - im Prinzip - ungeheure Mengen von Fakten und Bedeutungen miteinander zu verknüpfen. Die Linked Open Data Cloud ist ein Netzwerk, das aus Milliarden von Wissensbausteinen, einschließlich von Systemen der Ordnung des Wissens besteht. So finden sich neben Fakten Ontologien, Taxonomien, Klassifikationen, Thesauri und andere Systeme der Wissensorganisation, zugänglich für Menschen und Computer. Die Katalogisierung in Bibliotheken erlaubt uns den Zugang zu Wissen in Büchern über Jahrhunderte hinweg; aber Wissensorganisation umfasst auch Denkmodelle, die ein strukturiertes, gemeinsames Nachdenken möglich machen. Dieses Buch dokumentiert, wie die heutigen Möglichkeiten des Web, diese Breite von Wissensorganisation beeinflusst.Mit Beiträgen vonSören Auer, Gerard Coen, Kathleen Gregory, Mohamad Yaser Jaradeh, Daniel Martínez-Ávila, Philipp Mayr, Allard Oelen, M. Cristina Pattuelli, Tobias Renwick, Andrea Scharnhorst, Ronald Siebes, Aida Slavic, Richard P. Smiraglia, Markus Stocker, Rick Szostak, Marnix van Berchum, Charles van den Heuvel, James Bradford Young, Veruska Zamborlini und Marcia Lei Zeng. 249 pp. Englisch.
Seller: Basi6 International, Irving, TX, U.S.A.
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Language: English
Published by Springer-Verlag Publishing, 2012
ISBN 10: 3642230679 ISBN 13: 9783642230677
Seller: Salish Sea Books, Bellingham, WA, U.S.A.
Condition: Like New. Like New; Hardcover; Close to new condition; Covers are still glossy with "straight" edge-corners; Unblemished textblock edges; The endpapers and all text pages are bright and unmarked; Binding is tight with a straight spine; This book will be shipped in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); Red covers with title in white lettering; 2012, Springer-Verlag Publishing; 300 pages; "Models of Science Dynamics: Encounters Between Complexity Theory and Information Sciences (Springer Complexity: Understanding Complex Systems)," by Andrea Scharnhorst, et al.
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Neuware - The growth and population of the Semantic Web, especially the Linked Open Data (LOD) Cloud, has brought to the fore the challenges of ordering knowledge for data mining on an unprecedented scale.The LOD Cloud is structured from billions of elements of knowledge and pointers to knowledge organization systems (KOSs) such as ontologies, taxonomies, typologies, thesauri, etc. The variant and heterogeneous knowledge areas that comprise the social sciences and humanities (SSH), including cultural heritage applications are bringing multi-dimensional richness to the LOD Cloud. Each such application arrives with its own challenges regarding KOSs in the Cloud.With contributions bySören Auer, Gerard Coen, Kathleen Gregory, Mohamad Yaser Jaradeh, Daniel Martínez-Ávila, Philipp Mayr, Allard Oelen, M. Cristina Pattuelli, Tobias Renwick, Andrea Scharnhorst, Ronald Siebes, Aida Slavic, Richard P. Smiraglia, Markus Stocker, Rick Szostak, Marnix van Berchum, Charles van den Heuvel, James Bradford Young, Veruska Zamborlini and Marcia Lei Zeng.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Taschenbuch. Condition: Neu. Linking Knowledge | Linked Open Data for Knowledge Organization and Visualization | Richard P. Smiraglia (u. a.) | Taschenbuch | 249 S. | Englisch | 2021 | Ergon | EAN 9783956506604 | Verantwortliche Person für die EU: Nomos Verlagsgesellschaft mbH & Co. KG, Waldseestr. 3-5, 76530 Baden-Baden, nomos[at]nomos[dot]de | Anbieter: preigu.
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Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Condition: New. pp. xxx + 270 Index.
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 300 | Sprache: Englisch | Produktart: Bücher | Models of Science Dynamics aims to capture the structure and evolution of science, the emerging arena in which scholars, science and the communication of science become themselves the basic objects of research. In order to capture the essence of phenomena as diverse as the structure of co-authorship networks or the evolution of citation diffusion patterns, such models can be represented by conceptual models based on historical and ethnographic observations, mathematical descriptions of measurable phenomena, or computational algorithms. Despite its evident importance, the mathematical modeling of science still lacks a unifying framework and a comprehensive study of the topic. This volume fills this gap, reviewing and describing major threads in the mathematical modeling of science dynamics for a wider academic and professional audience. The model classes presented cover stochastic and statistical models, system-dynamics approaches, agent-based simulations, population-dynamics models, and complex-network models. The book comprises an introduction and a foundational chapter that defines and operationalizes terminology used in the study of science, as well as a review chapter that discusses the history of mathematical approaches to modeling science from an algorithmic-historiography perspective. It concludes with a survey of remaining challenges for future science models and their relevance for science and science policy.
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Paperback. Condition: Brand New. 2012 edition. 270 pages. 9.00x6.10x0.70 inches. In Stock.
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Seller: Revaluation Books, Exeter, United Kingdom
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Taschenbuch. Condition: Neu. Innovation Networks | New Approaches in Modelling and Analyzing | Andreas Pyka (u. a.) | Taschenbuch | Understanding Complex Systems | x | Englisch | 2010 | Springer | EAN 9783642100772 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Models of Science Dynamics | Encounters Between Complexity Theory and Information Sciences | Andrea Scharnhorst (u. a.) | Taschenbuch | Understanding Complex Systems | xxx | Englisch | 2014 | Springer | EAN 9783642448843 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Seller: Die Buchgeister, Ludwigsburg, BW, Germany
Condition: Gut. 2009, Bibliotheksexemplar - Einband: leichte Lagerspuren, Aufkleberreste - Seiten: wie ungelesen.
Condition: Sehr gut. Zustand: Sehr gut | Seiten: 340 | Sprache: Englisch | Produktart: Bücher | social network analysis has been an established eld since the 1950s; in computer and information sciences, in biology, and of course in mathematics (graph theory) networks are central representations of objects and methods (De Nooy, forthc- ing). More detailed bibliometric studies have examined the individual, cognitive, and institutional composition of complex network theory (Morris and Yen 2004), and social network theory (Otte and Rousseau 2002). Among the more impor- ż tant pieces of literature are Borner et al. (2007), Bornholdt and Schuster (2003), Buchanan (2002), Dorogovtsev and Mendes (2003), Otte and Rousseau (2002), Newman (2003), and Watts (1999, 2004). Of these, Borner ż et al. (2007) stand out because they have most recently re-examined network science, considering it as a possible innovation in information science. All the reviews mentioned include efforts to build bridges between different scienti c disciplines and specialties. In this book we draw particular attention to the link between evolutionary economics and statistical physics. Despite this impressive development, claims that an entirely new science has been created (Barabasi ż 2002) have nevertheless been the subject of criticism. - depth analyses of a subset of żcomplex networksż contributions (1991ż2003) have shown that the notion of żcomplex networksż was already prevalent in a number of different elds before it became practically a żbrand nameż or the popular label for a new specialty area in physics, or a new cross-disciplinary paradigm.
Language: English
Published by Springer Berlin Heidelberg, 2014
ISBN 10: 3642448844 ISBN 13: 9783642448843
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Models of Science Dynamics aims to capture the structure and evolution of science, the emerging arena in which scholars, science and the communication of science become themselves the basic objects of research. In order to capture the essence of phenomena as diverse as the structure of co-authorship networks or the evolution of citation diffusion patterns, such models can be represented by conceptual models based on historical and ethnographic observations, mathematical descriptions of measurable phenomena, or computational algorithms. Despite its evident importance, the mathematical modeling of science still lacks a unifying framework and a comprehensive study of the topic. This volume fills this gap, reviewing and describing major threads in the mathematical modeling of science dynamics for a wider academic and professional audience. The model classes presented cover stochastic and statistical models, system-dynamics approaches, agent-based simulations, population-dynamics models, and complex-network models. The book comprises an introduction and a foundational chapter that defines and operationalizes terminology used in the study of science, as well as a review chapter that discusses the history of mathematical approaches to modeling science from an algorithmic-historiography perspective. It concludes with a survey of remaining challenges for future science models and their relevance for science and science policy.
Language: English
Published by Springer Berlin Heidelberg, 2010
ISBN 10: 3642100775 ISBN 13: 9783642100772
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The science of graphs and networks has become by now a well-established tool for modelling and analyzing a variety of systems with a large number of interacting components. Starting from the physical sciences, applications have spread rapidly to the natural and social sciences, as well as to economics, and are now further extended, in this volume, to the concept of innovations, viewed broadly. In an abstract, systems-theoretical approach, innovation can be understood as a critical event which destabilizes the current state of the system, and results in a new process of self-organization leading to a new stable state.The contributions to this anthology address different aspects of the relationship between innovation and networks. The various chapters incorporate approaches in evolutionary economics, agent-based modeling, social network analysis and econophysics and explore the epistemic tension between insights into economics and society-related processes, and the insights into new forms of complex dynamics.