linked data

Memory Machines: The Evolution of Hypertext

by Belinda Barnet  · 14 Jul 2013  · 193pp  · 19,478 words

in Storyspace were called ‘writing spaces’, and it worked explicitly with topographic MACHINE-ENHANCED (RE)MINDING 121 metaphors, incorporating a graphic ‘map view’ of the link data structure from the first version, along with a tree and an outline view (which are also visual representations of the data). ‘The tree’, Bolter tells

The Art of Computer Programming: Sorting and Searching

by Donald Ervin Knuth  · 15 Jan 1998

in a practical range; as N —> oo this number can be lowered to order N(\ogNJ. Another way to improve on Algorithm S, using a linked data structure, gave us the list insertion method, which does about \N2 comparisons, 0 moves, and 2N changes of links. Is it possible to marry the

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representation. We know that linked allocation is specifically designed to handle a set of tables of variable size, so it is natural to choose a linked data structure for radix sorting. Since we traverse each pile serially, all 5.2.5 SORTING BY DISTRIBUTION 171 Table 1 RADIX SORTING Input area contents

The Art of Computer Programming: Fundamental Algorithms

by Donald E. Knuth  · 1 Jan 1974

computers require an entirely different approach to subroutine libraries. But this is a nice exercise anyway, because it involves interesting manipulations on both sequential and linked data.) The problem in this exercise is to design an algorithm for the stated task. Your allocator may transform the tape directory in any way as

Seven Databases in Seven Weeks: A Guide to Modern Databases and the NoSQL Movement

by Eric Redmond, Jim Wilson and Jim R. Wilson  · 7 May 2012  · 713pp  · 93,944 words

discuss the most popular graph database today, Neo4J. Neo4J One operation where other databases often fall flat is crawling through self-referential or otherwise intricately linked data. This is exactly where Neo4J shines. The benefit of using a graph database is the ability to quickly traverse nodes and relationships to find relevant

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'{"room" : 101}'​​ What makes Links special in Riak is link walking (and a more powerful variant, linked mapreduce queries, which we investigate tomorrow). Getting the linked data is achieved by appending a link spec to the URL that is structured like this: /_,_,_. The underscores (_) in the URL represent wildcards to each of

Data Mining: Concepts, Models, Methods, and Algorithms

by Mehmed Kantardzić  · 2 Jan 2003  · 721pp  · 197,134 words

contacts, or in bibliographic domains describing publications, authors, and venues. Graph-mining techniques explicitly consider these links when building predictive or descriptive models of the linked data. The requirement of different applications with graph-based data sets is not very uniform. Thus, graph models and mining algorithms that work well in one

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given in Figure 12.2b, while the graph in Figure 12.2c is a labeled graph. Different applications use different types of graphs in modeling linked data. In this chapter the primary focus is on undirected and unlabeled graphs although the reader still has to be aware that there are numerous graph

The City

by Tony Norfield  · 352pp  · 98,561 words

of securities between UK-based banks and the rest of the world are intermediated by banks outside the UK, but many of these are UK-linked. Data from the Bank of England enable these links to be examined in some detail, and they highlight a key role of the UK banking system

Cataloging the World: Paul Otlet and the Birth of the Information Age

by Alex Wright  · 6 Jun 2014

the company to Google, where its structured snippets now often complement traditional keyword-based search results. In recent years, the Linked Data movement has to some extent subsumed the Semantic Web initiative. Linked Data proposes more of a middle ground, in which ontologies might be derived programmatically from analyzing large data sets, rather than

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Library of Congress, 20, 29, 37 Licklider, J. C. R., 15, 248–250, 251, 258, 259 Limited Company for Useful Knowledge, 46 Limousin, Charles, 76 Linked Data movement, 278 Linotype, 89, 91, 92 Lippman, Walter, 162 Literary Machines (Nelson), 266 Lodge, Henry Cabot, 148, 165 Lovelace, Ada, 15 Lumière brothers, 62 Macintosh

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, 4, 5, 7, 13, 245 World Wide Web. See also Internet flatness of, 285, 303 fundamental disorder of, 253–254, 282, 305 Knowledge Web, 276 Linked Data movement, 278 negatives of structure of, 272, 281, 289–291 ongoing development of, 280, 291 openness of, 271–272, 279, 281, 283, 285 origins of

Future Files: A Brief History of the Next 50 Years

by Richard Watson  · 1 Jan 2008

also see mood-sensitive vehicles that adjust their behavior according to the mood of the driver or occupants. Cars will also become mobile technology platforms linking data to other services such as healthcare. For example, if your car regularly detects an abnormal heartbeat or high levels of stress, this information could be

The Future of Ideas: The Fate of the Commons in a Connected World

by Lawrence Lessig  · 14 Jul 2001  · 494pp  · 142,285 words

support the costs of developing and maintaining this information. And in some cases, with some databases, the Internet provided a simple way to collect and link data about music in particular.8 Here the CDDB—or “CD database”—is the most famous example. As MP3 equipment became common, people needed a simple

Algorithms in C++ Part 5: Graph Algorithms

by Robert Sedgewick  · 2 Jan 1992

of applications of two-dimensional arrays and linked lists, and in Chapter 5 to illustrate the relationship between recursive programs and fundamental data structures. Any linked data structure is a representation of a graph, and some familiar algorithms for processing trees and other linked structures are special cases of graph algorithms. The

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lists and vectors to represent the set of vertices incident on each vertex. Thus, we see again that an understanding of the basic properties of linked data structures and vectors is critical if we are to develop efficient graph ADT implementations. Our interest in these performance differences is that we want to

Content Everywhere: Strategy and Structure for Future-Ready Content

by Sara Wachter-Boettcher  · 28 Nov 2012  · 245pp  · 68,420 words

The Temporal Void

by Peter F. Hamilton  · 1 Jan 2008  · 897pp  · 242,580 words

Data Mining: Concepts and Techniques: Concepts and Techniques

by Jiawei Han, Micheline Kamber and Jian Pei  · 21 Jun 2011

Beautiful Visualization

by Julie Steele  · 20 Apr 2010

The Data Journalism Handbook

by Jonathan Gray, Lucy Chambers and Liliana Bounegru  · 9 May 2012

The Age of Surveillance Capitalism

by Shoshana Zuboff  · 15 Jan 2019  · 918pp  · 257,605 words

Too Big to Know: Rethinking Knowledge Now That the Facts Aren't the Facts, Experts Are Everywhere, and the Smartest Person in the Room Is the Room

by David Weinberger  · 14 Jul 2011  · 369pp  · 80,355 words

Remix

by John Courtenay Grimwood  · 15 Nov 2001

In the Age of the Smart Machine

by Shoshana Zuboff  · 14 Apr 1988

The Stack: On Software and Sovereignty

by Benjamin H. Bratton  · 19 Feb 2016  · 903pp  · 235,753 words

The Inevitable: Understanding the 12 Technological Forces That Will Shape Our Future

by Kevin Kelly  · 6 Jun 2016  · 371pp  · 108,317 words

The Art of SEO

by Eric Enge, Stephan Spencer, Jessie Stricchiola and Rand Fishkin  · 7 Mar 2012

The Singularity Is Near: When Humans Transcend Biology

by Ray Kurzweil  · 14 Jul 2005  · 761pp  · 231,902 words

Intertwingled: The Work and Influence of Ted Nelson (History of Computing)

by Douglas R. Dechow  · 2 Jul 2015  · 223pp  · 52,808 words

The Architecture of Open Source Applications

by Amy Brown and Greg Wilson  · 24 May 2011  · 834pp  · 180,700 words

The Data Revolution: Big Data, Open Data, Data Infrastructures and Their Consequences

by Rob Kitchin  · 25 Aug 2014

Principles of Web API Design: Delivering Value with APIs and Microservices

by James Higginbotham  · 20 Dec 2021  · 283pp  · 78,705 words

RDF Database Systems: Triples Storage and SPARQL Query Processing

by Olivier Cure and Guillaume Blin  · 10 Dec 2014

Frostbite: How Refrigeration Changed Our Food, Our Planet, and Ourselves

by Nicola Twilley  · 24 Jun 2024  · 428pp  · 125,388 words

Learning SPARQL

by Bob Ducharme  · 15 Jul 2011  · 315pp  · 70,044 words

Hadoop: The Definitive Guide

by Tom White  · 29 May 2009  · 933pp  · 205,691 words

The Future of the Brain: Essays by the World's Leading Neuroscientists

by Gary Marcus and Jeremy Freeman  · 1 Nov 2014  · 336pp  · 93,672 words

Graph Databases

by Ian Robinson, Jim Webber and Emil Eifrem  · 13 Jun 2013  · 201pp  · 63,192 words

The Truth Machine: The Blockchain and the Future of Everything

by Paul Vigna and Michael J. Casey  · 27 Feb 2018  · 348pp  · 97,277 words

Data and Goliath: The Hidden Battles to Collect Your Data and Control Your World

by Bruce Schneier  · 2 Mar 2015  · 598pp  · 134,339 words

Trading at the Speed of Light: How Ultrafast Algorithms Are Transforming Financial Markets

by Donald MacKenzie  · 24 May 2021  · 400pp  · 121,988 words

You've Been Played: How Corporations, Governments, and Schools Use Games to Control Us All

by Adrian Hon  · 14 Sep 2022  · 371pp  · 107,141 words

This Is for Everyone: The Captivating Memoir From the Inventor of the World Wide Web

by Tim Berners-Lee  · 8 Sep 2025  · 347pp  · 100,038 words

Data and the City

by Rob Kitchin,Tracey P. Lauriault,Gavin McArdle  · 2 Aug 2017

Virtual Competition

by Ariel Ezrachi and Maurice E. Stucke  · 30 Nov 2016

A Half-Built Garden

by Ruthanna Emrys  · 25 Jul 2022  · 431pp  · 127,720 words

My Life as a Quant: Reflections on Physics and Finance

by Emanuel Derman  · 1 Jan 2004  · 313pp  · 101,403 words

The Art of R Programming

by Norman Matloff  · 404pp  · 43,442 words

Computer: A History of the Information Machine

by Martin Campbell-Kelly and Nathan Ensmenger  · 29 Jul 2013  · 528pp  · 146,459 words

Learning SPARQL

by Bob Ducharme  · 22 Jul 2011  · 511pp  · 111,423 words

Mastering Structured Data on the Semantic Web: From HTML5 Microdata to Linked Open Data

by Leslie Sikos  · 10 Jul 2015

Beautiful Architecture: Leading Thinkers Reveal the Hidden Beauty in Software Design

by Diomidis Spinellis and Georgios Gousios  · 30 Dec 2008  · 680pp  · 157,865 words

Blockchain Basics: A Non-Technical Introduction in 25 Steps

by Daniel Drescher  · 16 Mar 2017  · 430pp  · 68,225 words

The Measure of Progress: Counting What Really Matters

by Diane Coyle  · 15 Apr 2025  · 321pp  · 112,477 words

Electronic and Algorithmic Trading Technology: The Complete Guide

by Kendall Kim  · 31 May 2007  · 224pp  · 13,238 words

Infonomics: How to Monetize, Manage, and Measure Information as an Asset for Competitive Advantage

by Douglas B. Laney  · 4 Sep 2017  · 374pp  · 94,508 words

Our 50-State Border Crisis: How the Mexican Border Fuels the Drug Epidemic Across America

by Howard G. Buffett  · 2 Apr 2018  · 350pp  · 109,521 words

The Costs of Connection: How Data Is Colonizing Human Life and Appropriating It for Capitalism

by Nick Couldry and Ulises A. Mejias  · 19 Aug 2019  · 458pp  · 116,832 words

Getting Started with D3

by Mike Dewar  · 26 Jun 2012  · 100pp  · 15,500 words

Python Tricks: The Book

by Dan Bader  · 14 Oct 2017  · 262pp  · 60,248 words

Big Data Analytics: Turning Big Data Into Big Money

by Frank J. Ohlhorst  · 28 Nov 2012  · 133pp  · 42,254 words

Who Owns England?: How We Lost Our Green and Pleasant Land, and How to Take It Back

by Guy Shrubsole  · 1 May 2019  · 505pp  · 133,661 words

Democracy's Data: The Hidden Stories in the U.S. Census and How to Read Them

by Dan Bouk  · 22 Aug 2022  · 424pp  · 123,180 words

The Shame Machine: Who Profits in the New Age of Humiliation

by Cathy O'Neil  · 15 Mar 2022  · 318pp  · 73,713 words

Factfulness: Ten Reasons We're Wrong About the World – and Why Things Are Better Than You Think

by Hans Rosling, Ola Rosling and Anna Rosling Rönnlund  · 2 Apr 2018  · 288pp  · 85,073 words

Big Data Glossary

by Pete Warden  · 20 Sep 2011  · 58pp  · 12,386 words

Pale Blue Dot: A Vision of the Human Future in Space

by Carl Sagan  · 8 Sep 1997  · 356pp  · 102,224 words