Answering Queries Using Views / by Foto Afrati, Rada Chirkova
By: Afrati, Foto, autor
Contributor(s): Chirkova, Rada, autor
Material type:
E-bookSeries: (Synthesis Lectures on Data Management, 2153-5426).Publisher: Cham : Springer International Publishing, 2019Edition: 2nd edition 2019.Description: 1 recurso en línea (XXI, 253 páginas).ISBN: 9783031018718.Subject: Recuperación de la información
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | QA76.9.D3 2019 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.01112473 |
Preface to the First Edition -- Preface to the Second Edition -- Acknowledgments -- Queries and Views -- Query Containment and Equivalence -- Finding Equivalent Rewritings -- Maximally Contained Rewritings (MCRs) -- Answering Queries in Presence of Dependencies -- Answering Queries in Data Exchange -- Answering Queries Using Views -- XPath Queries and Views -- Tree-Structured Records Queried with SQL Dialect -- Bibliographical Notes for Chapters 1--7 -- Conclusion for Chapters 1--7 -- Bibliography -- Authors' Biographies.
The topic of using views to answer queries has been popular for a few decades now, as it cuts across domains such as query optimization, information integration, data warehousing, website design and, recently, database-as-a-service and data placement in cloud systems. This book assembles foundational work on answering queries using views in a self-contained manner, with an effort to choose material that constitutes the backbone of the research. It presents efficient algorithms and covers the following problems: query containment; rewriting queries using views in various logical languages; equivalent rewritings and maximally contained rewritings; and computing certain answers in the data-integration and data-exchange settings. Query languages that are considered are fragments of SQL, in particular select-project-join queries, also called conjunctive queries (with or without arithmetic comparisons or negation), and aggregate SQL queries. This second edition includes two new chapters that refer to tree-like data and respective query languages. Chapter 8 presents the data model for XML documents and the XPath query language, and Chapter 9 provides a theoretical presentation of tree-like data model and query language where the tuples of a relation share a tree-structured schema for that relation and the query language is a dialect of SQL with evaluation techniques appropriately modified to fit the richer schema.
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