Data Mashups in R
Data Mashups in R

Author: Jeremy Leipzig

Publisher: "O'Reilly Media, Inc."

Published: 2011-03-04

Total Pages: 40

ISBN-13: 1449307256

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How do you use R to import, manage, visualize, and analyze real-world data? With this short, hands-on tutorial, you learn how to collect online data, massage it into a reasonable form, and work with it using R facilities to interact with web servers, parse HTML and XML, and more. Rather than use canned sample data, you'll plot and analyze current home foreclosure auctions in Philadelphia. This practical mashup exercise shows you how to access spatial data in several formats locally and over the Web to produce a map of home foreclosures. It's an excellent way to explore how the R environment works with R packages and performs statistical analysis. Parse messy data from public foreclosure auction postings Plot the data using R's PBSmapping package Import US Census data to add context to foreclosure data Use R's lattice and latticeExtra packages for data visualization Create multidimensional correlation graphs with the pairs() scatterplot matrix package

Semantic Mashups
Semantic Mashups

Author: Brigitte Endres-Niggemeyer

Publisher: Springer Science & Business Media

Published: 2013-04-05

Total Pages: 382

ISBN-13: 3642364039

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Mashups are mostly lightweight Web applications that offer new functionalities by combining, aggregating and transforming resources and services available on the Web. Popular examples include a map in their main offer, for instance for real estate, hotel recommendations, or navigation tools. Mashups may contain and mix client-side and server-side activity. Obviously, understanding the incoming resources (services, statistical figures, text, videos, etc.) is a precondition for optimally combining them, so that there is always some undercover semantics being used. By using semantic annotations, neutral mashups permute into the branded type of semantic mashups. Further and deeper semantic processing such as reasoning is the next step. The chapters of this book reflect the diversity of real-life semantic mashups. Two overview chapters take the reader to the environments where mashups are at home and review the regulations (standards, guidelines etc.) mashups are based on and confronted with. Chapters focusing on DBpedia, search engines and the Web of Things inspect the main Web surroundings of mashups. While mashups upgrading search queries may be nearer to the everyday experience of readers, mashups using DBpedia input and sensor data from the real world lead to important new and therefore less known developments. Finally, the diversity of mashups is tracked through a few application areas: mathematical knowledge, speech, crisis and disaster management, recommendations (for games), inner-city information, and tourism. Participants of the AI Mashup Challenge wrote all the chapters of this book. The authors were writing for their current and future colleagues – researchers and developers all over the Web who integrate mashup functionalities into their thinking and possibly into their applications.

Mashups
Mashups

Author: Florian Daniel

Publisher: Springer

Published: 2014-08-12

Total Pages: 332

ISBN-13: 3642550495

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Mashups have emerged as an innovative software trend that re-interprets existing Web building blocks and leverages the composition of individual components in novel, value-adding ways. Additional appeal also derives from their potential to turn non-programmers into developers. Daniel and Matera have written the first comprehensive reference work for mashups. They systematically cover the main concepts and techniques underlying mashup design and development, the synergies among the models involved at different levels of abstraction and the way models materialize into composition paradigms and architectures of corresponding development tools. The book deliberately takes a balanced approach, combining a scientific perspective on the topic with an in-depth view on relevant technologies. To this end, the first part of the book introduces the theoretical and technological foundations for designing and developing mashups, as well as for designing tools that can aid mashup development. The second part then focuses more specifically on various aspects of mashups. It discusses a set of core component technologies, core approaches and architectural patterns, with a particular emphasis on tool-aided mashup development exploiting model-driven architectures. Development processes for mashups are also discussed and special attention is paid to composition paradigms for the end-user development of mashups and quality issues. Overall, the book is of interest to a wide range of readers. Students, lecturers, and researchers will find a comprehensive overview of core concepts and technological foundations for mashup implementation and composition. Even without low-level coding details, practitioners like software architects will find guidance on key implementation concepts, architectural patterns and development tools and approaches. A related website provides additional teaching material which can be used either as part of a course or for self study.

Big Data Now: Current Perspectives from O'Reilly Radar
Big Data Now: Current Perspectives from O'Reilly Radar

Author: O'Reilly Radar Team

Publisher: "O'Reilly Media, Inc."

Published: 2011-08-30

Total Pages: 141

ISBN-13: 1449315216

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This collection represents the full spectrum of data-related content we’ve published on O’Reilly Radar over the last year. Mike Loukides kicked things off in June 2010 with “What is data science?” and from there we’ve pursued the various threads and themes that naturally emerged. Now, roughly a year later, we can look back over all we’ve covered and identify a number of core data areas: Data issues -- The opportunities and ambiguities of the data space are evident in discussions around privacy, the implications of data-centric industries, and the debate about the phrase “data science” itself. The application of data: products and processes – A “data product” can emerge from virtually any domain, including everything from data startups to established enterprises to media/journalism to education and research. Data science and data tools -- The tools and technologies that drive data science are of course essential to this space, but the varied techniques being applied are also key to understanding the big data arena. The business of data – Take a closer look at the actions connected to data -- the finding, organizing, and analyzing that provide organizations of all sizes with the information they need to compete.

Transactions on Large-Scale Data- and Knowledge-Centered Systems XIII
Transactions on Large-Scale Data- and Knowledge-Centered Systems XIII

Author: Abdelkader Hameurlain

Publisher: Springer

Published: 2014-07-08

Total Pages: 194

ISBN-13: 3642544266

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This, the 13th issue of Transactions on Large-Scale Data and Knowledge-Centered Systems, contains six revised selected regular papers. Topics covered include federated data sources, information filtering, web data clouding, query reformulation, package skyline queries and SPARQL query processing over a LaV (Local-as-View) integration system.

Rapid Mashup Development Tools
Rapid Mashup Development Tools

Author: Florian Daniel

Publisher: Springer

Published: 2017-01-23

Total Pages: 143

ISBN-13: 3319531743

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This book constitutes revised selected papers from the Second International Rapid Mashup Challenge, RMC 2016, held in Lugano, Switzerland in June 2016. The 6 papers presented in this volume were carefully reviewed and selected from 8 submissions. They are post-challenge extensions of the selected short participation proposals. The 2016 edition of the Challenge is the second installment of a series of challenges that aim to engage researchers and practitioners in a competition for the best mashup approach.

Web-Based Services: Concepts, Methodologies, Tools, and Applications
Web-Based Services: Concepts, Methodologies, Tools, and Applications

Author: Management Association, Information Resources

Publisher: IGI Global

Published: 2015-11-09

Total Pages: 2461

ISBN-13: 146669467X

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The recent explosion of digital media, online networking, and e-commerce has generated great new opportunities for those Internet-savvy individuals who see potential in new technologies and can turn those possibilities into reality. It is vital for such forward-thinking innovators to stay abreast of all the latest technologies. Web-Based Services: Concepts, Methodologies, Tools, and Applications provides readers with comprehensive coverage of some of the latest tools and technologies in the digital industry. The chapters in this multi-volume book describe a diverse range of applications and methodologies made possible in a world connected by the global network, providing researchers, computer scientists, web developers, and digital experts with the latest knowledge and developments in Internet technologies.

Advances in Databases
Advances in Databases

Author: Alvaro A.A. Fernandes

Publisher: Springer Science & Business Media

Published: 2011-10-28

Total Pages: 246

ISBN-13: 3642245765

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This book constitutes the thoroughly refereed post-conference proceedings of the 28th British National Conference on Databases, BNCOD 28, held in Manchester, UK, in July 2011. The 13 revised full papers, 2 short papers, 2 demo papers and 1 poster paper presented together with the abstracts of 2 keynote talks and 1 tutorial paper were carefully reviewed and selected from 44 submissions. The papers cover a wide range of topics such as XML compression, XML updates, column-oriented stores, provenance, warehousing, streamed data, data mashups, dataspaces, sensor network query processing, and pattern-oriented search.

Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXI
Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXI

Author: Abdelkader Hameurlain

Publisher: Springer

Published: 2016-12-21

Total Pages: 156

ISBN-13: 3662541734

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The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This, the 31st issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains six revised selected papers from the 2nd International Conference on Future Data and Security Engineering, FDSE 2015, and the 9th International Conference on Advanced Computing and Applications, ACOMP 2015, which were held in Ho Chi Minh City, Vietnam, in November 2015. Topics covered include big data analytics, data models and languages, security and privacy, complex business services, and cloud data management.

Library Mashups
Library Mashups

Author: Nicole C. Engard

Publisher: Information Today, Inc.

Published: 2009

Total Pages: 356

ISBN-13:

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"This unique book is geared to help any library keep its website dynamically and collaboratively up-to-date, increase user participation, and provide exemplary web-based service through the power of mashups."--Back cover.