Linking Enterprise Data

Cover13; -- Linking Enterprise Data -- Preface -- Contents -- List of Contributors -- Acronyms -- Part I Why Link Enterprise Data? -- Semantic Web and the Linked Data Enterprise -- 1 Social Data in the Enterprise -- 2 The Linked Data Enterprise -- 3 Examples -- 4 Conclusions -- References -- The Role of Community-Driven Data Curation for Enterprises -- 1 Introduction -- 2 The Business Need for Curated Data -- 3 Data Curation -- 4 Community-based Curated Enterprise Data -- 5 Case Study: Wikipedia -- The World Largest Open Digital Curation Community -- 6 Case Study: The New York Times -- 100 Years of Expert Data Curation -- 7 Case Study: Thomson Reuters -- Data Curation, a Core Business Competency -- 8 Case Study: ChemSpider -- Open Data Curation in the Global Chemistry Community -- 9 Case Study: Protein Data Bank, Pre-competitive Bioinformatics -- 10 Case Study Learnings -- 11 Conclusion -- References -- Part II Approval and Support of Linked Data Projects -- Preparing for a Linked Data Enterprise -- 1 Introduction -- 2 The Cost of Linked Data -- 3 Is your Organization Ready for Linked Data? -- 4 The Linked Data Initiative -- 5 A Decentralized Approach to Data Management -- 6 Being On theWeb vs. In the Web -- 7 Leverage Vocabularies -- 8 A Simple Approach to Linked Data -- 9 Conclusions -- References -- Selling and Building Linked Data: Drive Value and Gain Momentum -- 1 The Data Burden -- 2 Driving Value Principles -- 3 Building a Team -- 4 Committing to Something Bigger -- 5 Putting it together -- 6 Conclusions -- References -- Part III Techniques for Linking Enterprise Data -- Enhancing Enterprise 2.0 Ecosystems Using Semantic Web and Linked Data Technologies:The Sem SLATES Approach -- 1 Introduction -- 2 Issues with Current Enterprise 2.0 Ecosystems -- 3 SemSLATES: A Social and Semantic Middleware Approach for Enterprise 2.0 -- 4 Case-study: Enabling SemSLATES at EDF R & D -- 5 Conclusion -- References -- Linking XBRL Financial Data -- 1 Introduction -- 2 Approach -- 3 Results -- 4 Evaluation -- 5 Conclusions and Future Work -- References -- Scalable Reasoning Techniques for Semantic Enterprise Data -- 1 Introduction -- 2 Survey of Reasoning Techniques -- 3 Bayesian Networks -- 4 Unsupervised Reasoning -- 5 Semantic Reasoning -- 6 Semantic Reasoning vs. Business Intelligence -- 7 Best Practices for Application Developers and System Integrators -- 8 Summary -- References -- Reliable and Persistent Identification of Linked Data Elements -- 1 Introduction -- 2 Metadata Before the World Wide Web -- 3 Metadata on the World Wide Web -- 4 Persistent URLs -- 5 Extending Persistent URLs for Web Resource Curation -- 6 Redirection of URL Fragments -- 7 Using Persistent URLs and Retrieved Metadata -- 8 Federations of PURL Servers -- 9 Conclusions and Further Work -- References -- Part IV Success Stories -- Linked Data for Fighting Global Hunger: Experiences in setting standards for Agricultural Information Management -- 1 Agricultural information and Semantic Web -- 2 Integrating access using Dublin Core metadata -- 3 AGROVOC and specialized domain ontologies -- 4 Networking, capacity development, and outreach -- References -- Enterprise Linked Data as Core Business Infrastructure -- 1 Introduction -- 2 Motiva.