Enterprise data is growing at a much faster rate than traditional technologies allow. The World Wide Web is the only information system that scales to the degree that it does and is robus… Mehr…
Enterprise data is growing at a much faster rate than traditional technologies allow. The World Wide Web is the only information system that scales to the degree that it does and is robust to both changes and failure of components. Most software does not work nearly as well as the Web does. Applying the Web's architectural principles (versus using the public Web directly) for enterprise problems maybe the only way to effectively address the current and future information glut. Linking Enterprise Data is an edited volume contributed by worldwide leaders in Semantic Web research, standards development and early adopters of Semantic Web standards and techniques. Linking enterprise data is the application of World Wide Web architecture principles to real-world information management issues faced by commercial, not-for-profit and government enterprises. The first section of this book will address business, technical and social values of applying Web architecture to enterprise content. An important focus of the first section will be the building of social (human-centered) communities to curate distributed data. The second section, Infrastructure, will address the need and options for persistent identifiers of data, terms and vocabularies for use by enterprise architects, and data storage and retrieval infrastructure appropriate for use. Case studies and examples that demonstrate the applicability of the proposed architectures are presented in the last section of Linking Enterprise Data.About this book:Provides practical approaches to addressing common information management issues by the application of leading edge research.Application approaches are based on international standards.Includes case studies and examples that demonstrate the applicability of the proposed architectures.This book targets professionals working as CTOs, CIOs, enterprise architects, project managers and application developers in commercial, not-for-profit and government organizations concerned with scalability, flexibility and robustness of information management systems and the Semantic Web. Advanced-level students and researchers focusing on computer science will also find this book valuable as a secondary text or reference book.; PDF; Business,Finance and Law > Business & management > Business mathematics & systems, Springer New York<
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Enterprise data is growing at a much faster rate than traditional technologies allow. The World Wide Web is the only information system that scales to the degree that it does and is robus… Mehr…
Enterprise data is growing at a much faster rate than traditional technologies allow. The World Wide Web is the only information system that scales to the degree that it does and is robust to both changes and failure of components. Most software does not work nearly as well as the Web does. Applying the Web's architectural principles (versus using the public Web directly) for enterprise problems maybe the only way to effectively address the current and future information glut. Linking Enterprise Data is an edited volume contributed by worldwide leaders in Semantic Web research, standards development and early adopters of Semantic Web standards and techniques. Linking enterprise data is the application of World Wide Web architecture principles to real-world information management issues faced by commercial, not-for-profit and government enterprises. The first section of this book will address business, technical and social values of applying Web architecture to enterprise content. An important focus of the first section will be the building of social (human-centered) communities to curate distributed data. The second section, Infrastructure, will address the need and options for persistent identifiers of data, terms and vocabularies for use by enterprise architects, and data storage and retrieval infrastructure appropriate for use. Case studies and examples that demonstrate the applicability of the proposed architectures are presented in the last section of Linking Enterprise Data.About this book:Provides practical approaches to addressing common information management issues by the application of leading edge research.Application approaches are based on international standards.Includes case studies and examples that demonstrate the applicability of the proposed architectures.This book targets professionals working as CTOs, CIOs, enterprise architects, project managers and application developers in commercial, not-for-profit and government organizations concerned with scalability, flexibility and robustness of information management systems and the Semantic Web. Advanced-level students and researchers focusing on computer science will also find this book valuable as a secondary text or reference book.; PDF; Business,Finance and Law > Business & management > Business mathematics & systems, Springer New York<
hive.co.uk
No. 9781441976659. Versandkosten:Instock, Despatched same working day before 3pm, zzgl. Versandkosten. Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
Enterprise data is growing at a much faster rate than traditional technologies allow. The World Wide Web is the only information system that scales to the degree that it does and is robus… Mehr…
Enterprise data is growing at a much faster rate than traditional technologies allow. The World Wide Web is the only information system that scales to the degree that it does and is robust to both changes and failure of components. Most software does not work nearly as well as the Web does. Applying the Web's architectural principles (versus using the public Web directly) for enterprise problems maybe the only way to effectively address the current and future information glut. Linking Enterprise Data is an edited volume contributed by worldwide leaders in Semantic Web research, standards development and early adopters of Semantic Web standards and techniques. Linking enterprise data is the application of World Wide Web architecture principles to real-world information management issues faced by commercial, not-for-profit and government enterprises. The first section of this book will address business, technical and social values of applying Web architecture to enterprise content. An important focus of the first section will be the building of social (human-centered) communities to curate distributed data. The second section, Infrastructure, will address the need and options for persistent identifiers of data, terms and vocabularies for use by enterprise architects, and data storage and retrieval infrastructure appropriate for use. Case studies and examples that demonstrate the applicability of the proposed architectures are presented in the last section of Linking Enterprise Data.About this book:Provides practical approaches to addressing common information management issues by the application of leading edge research.Application approaches are based on international standards.Includes case studies and examples that demonstrate the applicability of the proposed architectures.This book targets professionals working as CTOs, CIOs, enterprise architects, project managers and application developers in commercial, not-for-profit and government organizations concerned with scalability, flexibility and robustness of information management systems and the Semantic Web. Advanced-level students and researchers focusing on computer science will also find this book valuable as a secondary text or reference book.; PDF; Business,Finance and Law > Business & management > Business mathematics & systems, Springer US<
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*Linking Enterprise Data* / pdf eBook für 149.99 € / Aus dem Bereich: eBooks, Sachthemen & Ratgeber, Computer & Internet Medien > Bücher nein eBook als pdf eBooks > Sachthemen & Ratgeber … Mehr…
*Linking Enterprise Data* / pdf eBook für 149.99 € / Aus dem Bereich: eBooks, Sachthemen & Ratgeber, Computer & Internet Medien > Bücher nein eBook als pdf eBooks > Sachthemen & Ratgeber > Computer & Internet, Springer-Verlag GmbH<
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9781441976659. Versandkosten:In stock (Download), , Versandkostenfrei nach Hause oder Express-Lieferung in Ihre Buchhandlung., DE. (EUR 0.00) Details...
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Enterprise data is growing at a much faster rate than traditional technologies allow. The World Wide Web is the only information system that scales to the degree that it does and is robus… Mehr…
Enterprise data is growing at a much faster rate than traditional technologies allow. The World Wide Web is the only information system that scales to the degree that it does and is robust to both changes and failure of components. Most software does not work nearly as well as the Web does. Applying the Web's architectural principles (versus using the public Web directly) for enterprise problems maybe the only way to effectively address the current and future information glut. Linking Enterprise Data is an edited volume contributed by worldwide leaders in Semantic Web research, standards development and early adopters of Semantic Web standards and techniques. Linking enterprise data is the application of World Wide Web architecture principles to real-world information management issues faced by commercial, not-for-profit and government enterprises. The first section of this book will address business, technical and social values of applying Web architecture to enterprise content. An important focus of the first section will be the building of social (human-centered) communities to curate distributed data. The second section, Infrastructure, will address the need and options for persistent identifiers of data, terms and vocabularies for use by enterprise architects, and data storage and retrieval infrastructure appropriate for use. Case studies and examples that demonstrate the applicability of the proposed architectures are presented in the last section of Linking Enterprise Data.About this book:Provides practical approaches to addressing common information management issues by the application of leading edge research.Application approaches are based on international standards.Includes case studies and examples that demonstrate the applicability of the proposed architectures.This book targets professionals working as CTOs, CIOs, enterprise architects, project managers and application developers in commercial, not-for-profit and government organizations concerned with scalability, flexibility and robustness of information management systems and the Semantic Web. Advanced-level students and researchers focusing on computer science will also find this book valuable as a secondary text or reference book.; PDF; Business,Finance and Law > Business & management > Business mathematics & systems, Springer New York<
No. 9781441976659. Versandkosten:Instock, Despatched same working day before 3pm, zzgl. Versandkosten.
Enterprise data is growing at a much faster rate than traditional technologies allow. The World Wide Web is the only information system that scales to the degree that it does and is robus… Mehr…
Enterprise data is growing at a much faster rate than traditional technologies allow. The World Wide Web is the only information system that scales to the degree that it does and is robust to both changes and failure of components. Most software does not work nearly as well as the Web does. Applying the Web's architectural principles (versus using the public Web directly) for enterprise problems maybe the only way to effectively address the current and future information glut. Linking Enterprise Data is an edited volume contributed by worldwide leaders in Semantic Web research, standards development and early adopters of Semantic Web standards and techniques. Linking enterprise data is the application of World Wide Web architecture principles to real-world information management issues faced by commercial, not-for-profit and government enterprises. The first section of this book will address business, technical and social values of applying Web architecture to enterprise content. An important focus of the first section will be the building of social (human-centered) communities to curate distributed data. The second section, Infrastructure, will address the need and options for persistent identifiers of data, terms and vocabularies for use by enterprise architects, and data storage and retrieval infrastructure appropriate for use. Case studies and examples that demonstrate the applicability of the proposed architectures are presented in the last section of Linking Enterprise Data.About this book:Provides practical approaches to addressing common information management issues by the application of leading edge research.Application approaches are based on international standards.Includes case studies and examples that demonstrate the applicability of the proposed architectures.This book targets professionals working as CTOs, CIOs, enterprise architects, project managers and application developers in commercial, not-for-profit and government organizations concerned with scalability, flexibility and robustness of information management systems and the Semantic Web. Advanced-level students and researchers focusing on computer science will also find this book valuable as a secondary text or reference book.; PDF; Business,Finance and Law > Business & management > Business mathematics & systems, Springer New York<
No. 9781441976659. Versandkosten:Instock, Despatched same working day before 3pm, zzgl. Versandkosten.
Enterprise data is growing at a much faster rate than traditional technologies allow. The World Wide Web is the only information system that scales to the degree that it does and is robus… Mehr…
Enterprise data is growing at a much faster rate than traditional technologies allow. The World Wide Web is the only information system that scales to the degree that it does and is robust to both changes and failure of components. Most software does not work nearly as well as the Web does. Applying the Web's architectural principles (versus using the public Web directly) for enterprise problems maybe the only way to effectively address the current and future information glut. Linking Enterprise Data is an edited volume contributed by worldwide leaders in Semantic Web research, standards development and early adopters of Semantic Web standards and techniques. Linking enterprise data is the application of World Wide Web architecture principles to real-world information management issues faced by commercial, not-for-profit and government enterprises. The first section of this book will address business, technical and social values of applying Web architecture to enterprise content. An important focus of the first section will be the building of social (human-centered) communities to curate distributed data. The second section, Infrastructure, will address the need and options for persistent identifiers of data, terms and vocabularies for use by enterprise architects, and data storage and retrieval infrastructure appropriate for use. Case studies and examples that demonstrate the applicability of the proposed architectures are presented in the last section of Linking Enterprise Data.About this book:Provides practical approaches to addressing common information management issues by the application of leading edge research.Application approaches are based on international standards.Includes case studies and examples that demonstrate the applicability of the proposed architectures.This book targets professionals working as CTOs, CIOs, enterprise architects, project managers and application developers in commercial, not-for-profit and government organizations concerned with scalability, flexibility and robustness of information management systems and the Semantic Web. Advanced-level students and researchers focusing on computer science will also find this book valuable as a secondary text or reference book.; PDF; Business,Finance and Law > Business & management > Business mathematics & systems, Springer US<
No. 9781441976659. Versandkosten:Instock, Despatched same working day before 3pm, zzgl. Versandkosten.
*Linking Enterprise Data* / pdf eBook für 149.99 € / Aus dem Bereich: eBooks, Sachthemen & Ratgeber, Computer & Internet Medien > Bücher nein eBook als pdf eBooks > Sachthemen & Ratgeber … Mehr…
*Linking Enterprise Data* / pdf eBook für 149.99 € / Aus dem Bereich: eBooks, Sachthemen & Ratgeber, Computer & Internet Medien > Bücher nein eBook als pdf eBooks > Sachthemen & Ratgeber > Computer & Internet, Springer-Verlag GmbH<
9781441976659. Versandkosten:In stock (Download), , Versandkostenfrei nach Hause oder Express-Lieferung in Ihre Buchhandlung., DE. (EUR 0.00)
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Buch in der Datenbank seit 2012-07-03T07:35:49+02:00 (Berlin) Detailseite zuletzt geändert am 2023-09-25T05:02:30+02:00 (Berlin) ISBN/EAN: 9781441976659
ISBN - alternative Schreibweisen: 978-1-4419-7665-9 Alternative Schreibweisen und verwandte Suchbegriffe: Autor des Buches: tom wood, david wood, batchelor, joseph tainter Titel des Buches: enterprise
Daten vom Verlag:
Autor/in: David Wood Titel: Linking Enterprise Data Verlag: Springer; Springer US 291 Seiten Erscheinungsjahr: 2010-11-10 New York; NY; US Sprache: Englisch 149,79 € (DE) 154,00 € (AT) 177,00 CHF (CH) Available XXVI, 291 p.
EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Datenkommunikation, Netzwerke; Netzwerk-Hardware; Verstehen; Information architecture; Management; Persistent; Resource Description Framework (RDF); Simple Knowledge Organisation System (SKOS); Text; Uniform Resource Identifiers (URIs); World Wide Web; currentjm; data architecture; information organization; linked data; open standards; organization; semantic web; B; Computer Communication Networks; Computer and Information Systems Applications; IT in Business; Information Storage and Retrieval; IT Operations; Computer Science; Angewandte Informatik; Wirtschaftsmathematik und -informatik, IT-Management; Unternehmensanwendungen; Informationsrückgewinnung, Information Retrieval; Data Warehousing; BB
Why Link Enterprise Data?.- Semantic Web and the Linked Data Enterprise.- The Role of Community-Driven Data Curation for Enterprises.- Approval and Support of Linked Data Projects.- Preparing for a Linked Data Enterprise.- Selling and Building Linked Data: Drive Value and Gain Momentum.- Techniques for Linking Enterprise Data.- Enhancing Enterprise 2.0 Ecosystems Using Semantic Web and Linked Data Technologies:The SemSLATES Approach.- Linking XBRL Financial Data.- Scalable Reasoning Techniques for Semantic Enterprise Data.- Reliable and Persistent Identification of Linked Data Elements.- Success Stories.- Linked Data for Fighting Global Hunger:Experiences in setting standards for Agricultural Information Management.- Enterprise Linked Data as Core Business Infrastructure.- Standardizing Legal Content with OWL and RDF.- A Role for Semantic Web Technologies in Patient Record Data Collection.- Use of Semantic Web technologies on the BBC Web Sites. Provides practical approaches to addressing common information management issues by the application of leading edge Linked Data research Application approaches are based on international standards Includes case studies and examples Includes supplementary material: sn.pub/extras
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