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This book examines the recent trend of extending data dependencies to adapt to rich data types in order to address variety and veracity issues in big data. Readers will be guided through the full range of rich data types where data dependencies have been successfully applied, including categorical data with equality relationships, heterogeneous data with similarity relationships, numerical data with order relationships, sequential data with timestamps, and graph data with complicated structures. The text will also discuss interesting constraints on ordering or similarity relationships contained in novel classes of data dependencies in addition to those in equality relationships, e.g., considered in functional dependencies (FDs). In addition to exploring the concepts of these data dependency notations, the book investigates the extension relationships between data dependencies, such as conditional functional dependencies (CFDs) that extend conventional functional dependencies (FDs). This forms in the book a family tree of extensions, mostly rooted in FDs, that help illuminate the expressive power of various data dependencies. Moreover, the book points to work on the discovery of dependencies from data, since data dependencies are often unlikely to be manually specified in a traditional way, given the huge volume and high variety in big data. It further outlines the applications of the extended data dependencies, in particular in data quality practice. Altogether, this book provides a comprehensive guide for readers to select proper data dependencies for their applications that have sufficient expressive power and reasonable discovery cost. Finally, the book concludes with several directions of future studies on emerging data.
The increasing complexity of infrastructures and densely built-up areas requires a proper registration of the legal status (private and public), which can only be provided to a limited extent by the existing 2D cadastral registrations. The registration of the legal status in complex 3D situations is investigated under the header of 3D Cadastres. This publication, containing 13 selected contributions on 3D Cadastre, addresses the following areas: 1. 3D Cadastre operational experiences (analysis, LADM based, learning from each other, discovering gaps), 2. 3D Cadastre cost-effective workflow for new/updated 3D parcels = 4D (part of whole chain: From planning/design/permit in 3D, to registration/use in 3D), 3. 3D Cadastre web-based dissemination (usability, man–machine interfaces, including mobile/AR), 4. legal aspects for 3D Cadastre, best legal practices in various legislation systems, focus on large cities, including developing countries, 5. 3D data management, and 6. visualization, distribution, and delivery of 3D parcels.
In response to increasing information demands on its digital cartographic data, the U.S. Geological Survey has designed an enhanced version of the Digital Line Graph, termed Digital Line Graph - Enhanced (DLG-E). In the DLG-E model, the phenomena represented by geographic and cartographic data are termed entities. Entities represent individual phenomena in the real world.
Land parcel data (also known as cadastral data) provide geographically referenced information about the rights, interests, and ownership of land and are an important part of the financial, legal, and real estate systems of society. The data are used by governments to make decisions about land development, business activities, regulatory compliance, emergency response, and law enforcement. In 1980, a National Research Council book called for nationally integrated land parcel data, but despite major progress in the development of land parcel databases in many local jurisdictions, little progress has been made toward a national system. National Land Parcel Data looks at the current status of land parcel data in the United States. The book concludes that nationally integrated land parcel data is necessary, feasible, and affordable. It provides recommendations for establishing a practical framework for sustained intergovernmental coordination and funding required to overcome the remaining challenges and move forward.
Through its presentation of a holistic view of land management for sustainable development, this text outlines basic principles of land administration applicable to all countries and their divergent needs.