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The epistemology of intelligent semantic web systems /

By: Aquin, Mathieu d' [author.].
Contributor(s): Motta, E 1961-, [author.].
Material type: materialTypeLabelBookSeries: Synthesis digital library of engineering and computer science: ; Synthesis lectures on the semantic web: # 14.Publisher: [San Rafael, California] : Morgan & Claypool, 2016.Description: 1 PDF (xiii, 74 pages) : illustrations.Content type: text Media type: electronic Carrier type: online resourceISBN: 9781627050005.Subject(s): Semantic Web | semantic web | linked data | intelligent systems | knowledge engineering | knowledge-based systems | ontologiesDDC classification: 025.04 Online resources: Abstract with links to resource Also available in print.
Contents:
1. Characterizing the semantic web -- 1.1 It is a stack after all! -- 1.2 The web as a layer on top of the internet -- 1.3 Linked data as a layer on top of the web -- 1.4 The semantic web as a layer on top of linked data --
2. Anatomy of an intelligent semantic web system -- 2.1 Knowledge-based systems -- 2.2 Interacting with knowledge in knowledge-based systems -- 2.3 Interacting with the semantic web as a knowledge base -- 2.4 Intelligent semantic web systems as views over the semantic web -- 2.5 Components of an intelligent semantic web system -- 2.5.1 Discovery -- 2.5.2 Selection -- 2.5.3 Integration -- 2.5.4 Curation -- 2.6 Conclusion --
3. Exemplar intelligent semantics web systems -- 3.1 Search and recommendation -- 3.1.1 Google knowledge graph -- 3.1.2 Seevl/dbrec -- 3.1.3 DiscOU -- 3.2 Question answering -- 3.2.1 IBM Watson -- 3.2.2 PowerAqua -- 3.3 Data analysis and sense-making -- 3.3.1 Garlik data patrol -- 3.3.2 Rexplore -- 3.4 Conclusion --
4. The challenges that need to be addressed to realize ubiquitous intelligent semantic web systems -- 4.1 Technological challenges: scale, robustness, and distribution -- 4.2 Non-technological challenges: the human in the loop -- 4.2.1 Quality -- 4.2.2 Policies and rights -- 4.2.3 Privacy -- 4.2.4 Interaction -- 4.3 Conclusion -- References -- Authors' biographies.
Abstract: The Semantic Web is a young discipline, even if only in comparison to other areas of computer science. Nonetheless, it already exhibits an interesting history and evolution. This book is a reflection on this evolution, aiming to take a snapshot of where we are at this specific point in time, and also showing what might be the focus of future research. This book provides both a conceptual and practical view of this evolution, especially targeted at readers who are starting research in this area and as support material for their supervisors. From a conceptual point of view, it highlights and discusses key questions that have animated the research community: what does it mean to be a Semantic Web system and how is it different from other types of systems, such as knowledge systems or web-based information systems? From a more practical point of view, the core of the book introduces a simple conceptual framework which characterizes Intelligent Semantic Web Systems. We describe this framework, the components it includes, and give pointers to some of the approaches and technologies that might be used to implement them. We also look in detail at concrete systems falling under the category of Intelligent Semantic Web Systems, according to the proposed framework, allowing us to compare them, analyze their strengths and weaknesses, and identify the key fundamental challenges still open for researchers to tackle.
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Item type Current location Call number Status Date due Barcode Item holds
E books E books PK Kelkar Library, IIT Kanpur
Available EBKE715
Total holds: 0

Mode of access: World Wide Web.

System requirements: Adobe Acrobat Reader.

Part of: Synthesis digital library of engineering and computer science.

Includes bibliographical references (pages 61-71).

1. Characterizing the semantic web -- 1.1 It is a stack after all! -- 1.2 The web as a layer on top of the internet -- 1.3 Linked data as a layer on top of the web -- 1.4 The semantic web as a layer on top of linked data --

2. Anatomy of an intelligent semantic web system -- 2.1 Knowledge-based systems -- 2.2 Interacting with knowledge in knowledge-based systems -- 2.3 Interacting with the semantic web as a knowledge base -- 2.4 Intelligent semantic web systems as views over the semantic web -- 2.5 Components of an intelligent semantic web system -- 2.5.1 Discovery -- 2.5.2 Selection -- 2.5.3 Integration -- 2.5.4 Curation -- 2.6 Conclusion --

3. Exemplar intelligent semantics web systems -- 3.1 Search and recommendation -- 3.1.1 Google knowledge graph -- 3.1.2 Seevl/dbrec -- 3.1.3 DiscOU -- 3.2 Question answering -- 3.2.1 IBM Watson -- 3.2.2 PowerAqua -- 3.3 Data analysis and sense-making -- 3.3.1 Garlik data patrol -- 3.3.2 Rexplore -- 3.4 Conclusion --

4. The challenges that need to be addressed to realize ubiquitous intelligent semantic web systems -- 4.1 Technological challenges: scale, robustness, and distribution -- 4.2 Non-technological challenges: the human in the loop -- 4.2.1 Quality -- 4.2.2 Policies and rights -- 4.2.3 Privacy -- 4.2.4 Interaction -- 4.3 Conclusion -- References -- Authors' biographies.

Abstract freely available; full-text restricted to subscribers or individual document purchasers.

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The Semantic Web is a young discipline, even if only in comparison to other areas of computer science. Nonetheless, it already exhibits an interesting history and evolution. This book is a reflection on this evolution, aiming to take a snapshot of where we are at this specific point in time, and also showing what might be the focus of future research. This book provides both a conceptual and practical view of this evolution, especially targeted at readers who are starting research in this area and as support material for their supervisors. From a conceptual point of view, it highlights and discusses key questions that have animated the research community: what does it mean to be a Semantic Web system and how is it different from other types of systems, such as knowledge systems or web-based information systems? From a more practical point of view, the core of the book introduces a simple conceptual framework which characterizes Intelligent Semantic Web Systems. We describe this framework, the components it includes, and give pointers to some of the approaches and technologies that might be used to implement them. We also look in detail at concrete systems falling under the category of Intelligent Semantic Web Systems, according to the proposed framework, allowing us to compare them, analyze their strengths and weaknesses, and identify the key fundamental challenges still open for researchers to tackle.

Also available in print.

Title from PDF title page (viewed on June 18, 2016).

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