Burning the Page: The eBook Revolution and the Future of - download pdf or read online

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By Jason Merkoski

ISBN-10: 1402288832

ISBN-13: 9781402288838

A groundbreaking imaginative and prescient at the way forward for analyzing, from an early innovator on Amazon's Kindle team.
• Is electronic the demise knell for print?
• Or will it reinvigorate the written note?
• what is going to occur to bookstores, e-book searching, libraries, even autographs?
• Will they die out—or evolve into anything new?

In Burning the web page, digital pioneer Jason Merkoski charts the publication revolution's notable influence at the ways that we create, detect, and proportion rules. From the smooth halls of Silicon Valley to the jungles of Southeast Asia, Merkoski explores how ebooks got here to be and predicts cutting edge and interactive methods electronic content material will form our lives. all through, you're invited to proceed the dialog on-line and aid form this intriguing new global of "Reading 2.0."

For those that love books, gather books, personal an e-reader, vow never to possess one, or just need to know the place books are headed, this can be a the most important consultant to either the way forward for studying and to our electronic tradition as a complete.

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Additional info for Burning the Page: The eBook Revolution and the Future of Reading

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The underlying DHT overlay is extended with multiSend(), index query() methods and a new ”extended matching” message format to support Single Query Chain (SQC) and Multiple Query Chain (MQC) algorithms. In SQC and MQC for each conjunctive multi-predicate query a single query and multiple query chains are created, respectively, in order to distribute the processing load between the nodes. Each node matches the received triples against its local queries and sends intermediate results to the next node in the query processing node chain.

One option that we are considering is replacing the current hash function that is used to generated DHT keys with an alternative mapping function that better supports range and multi-attribute queries. In Figure 3 above, subscription 1 returns matches of all the Movies produced by Steven Spielberg and Subscription 2 matches all the Movies produced by Steven Spielberg with Tom Hanks as an actor. The results of Subscriptions 1 are a subset of the total results returned by Subscription 2, therefore some of the alpha memories can be re-used and shared.

2 Rete Dataflow Network As depicted in Figure 4, the Rete-dataflow network comprises of alpha memory, beta memory and join nodes. The alpha memory (AM) node is part ”alpha network” that acts as a predicate on the WMEs. , WME with attribute on). y as wildcards. The beta memory (BM) nodes contain the result of join nodes. The input to ”join” is the previous beta node and the corresponding alpha node. In other words, the join node filters through all the WME joined on variable values to the related beta nodes in a form of a join tuple; this process is called left activation.

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Burning the Page: The eBook Revolution and the Future of Reading by Jason Merkoski

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