| 000 -LEADER |
|---|
| fixed length control field |
a |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
210205b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781681730332 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
005.74 |
| Item number |
KAO |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Kaoudim, Zoi |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Cloud-based RDF data management |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Name of publisher, distributor, etc |
Morgan & Claypool |
| Date of publication, distribution, etc |
2020 |
| Place of publication, distribution, etc |
San Rafael |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
91 p. |
| Other physical details |
ill. |
| Dimensions |
24 cm |
| 365 ## - TRADE PRICE |
|---|
| Unit of pricing |
76.80 |
| Price amount |
39.95 |
| Price type code |
USD |
| 490 ## - SERIES STATEMENT |
|---|
| Series statement |
Synthesis lectures on data nanagement |
| Volume number/sequential designation |
2153-5426 ; #62 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
Resource Description Framework (or RDF, in short) is set to deliver many of the original semi-structured data promises: flexible structure, optional schema, and rich, flexible Universal Resource Identifiers as a basis for information sharing. Moreover, RDF is uniquely positioned to benefit from the efforts of scientific communities studying databases, knowledge representation, and Web technologies. As a consequence, the RDF data model is used in a variety of applications today for integrating knowledge and information: in open Web or government data via the Linked Open Data initiative, in scientific domains such as bioinformatics, and more recently in search engines and personal assistants of enterprises in the form of knowledge graphs. Managing such large volumes of RDF data is challenging due to the sheer size, heterogeneity, and complexity brought by RDF reasoning. To tackle the size challenge, distributed architectures are required. Cloud computing is an emerging paradigm massively adopted in many applications requiring distributed architectures for the scalability, fault tolerance, and elasticity features it provides. At the same time, interest in massively parallel processing has been renewed by the MapReduce model and many follow-up works, which aim at simplifying the deployment of massively parallel data management tasks in a cloud environment. In this book, we study the state-of-the-art RDF data management in cloud environments and parallel/distributed architectures that were not necessarily intended for the cloud, but can easily be deployed therein. After providing a comprehensive background on RDF and cloud technologies, we explore four aspects that are vital in an RDF data management system: data storage, query processing, query optimization, and reasoning. We conclude the book with a discussion on open problems and future directions. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
RDF |
|
|---|
| Topical term or geographic name as entry element |
Cloud computing |
|
|---|
| Topical term or geographic name as entry element |
Database management |
|
|---|
| Topical term or geographic name as entry element |
key-value stores |
|
|---|
| Topical term or geographic name as entry element |
Query optimization |
|
|---|
| Topical term or geographic name as entry element |
Document markup language |
| 710 ## - ADDED ENTRY--CORPORATE NAME |
|---|
| Corporate name or jurisdiction name as entry element |
Manolescu, Ioana |
|
|---|
| Corporate name or jurisdiction name as entry element |
Zampetakis, Stamatis |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Item type |
Books |