Contents Introduction i I Modeling Web Data 1 1 Data Model 3 1.1 Semistructured data . Data Management for Researchers: Organize, Maintain and Share Your Data for Research Success, Master Data Management and Data Governance, Data Governance: How to Design, Deploy and Sustain an Effective Data Governance Program, Data Management: Databases & Organizations, The DAMA Guide to the Data Management Body of Knowledge, Principles of Data Management: Facilitating Information Sharing, Enterprise Master Data Management: An SOA Approach to Managing Core Information, Multi-Domain Master Data Management: Advanced MDM and Data Governance in Practice, Clinical Analytics and Data Management for the DNP. . analyzing data, you can get a clear picture of consumer preferences and this can help the company grow It covers the many facets of distributed data management on the Web, such as description logics, that are already emerging in today’s data integration applications and herald tomorrow’s semantic Web. 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