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|Prix livre imprimé :||EUR 39,99|
|Prix Kindle :||
Économisez EUR 12,00 (30%)
The Discipline of Organizing (English Edition) Format Kindle
Description du produit
Revue de presse
Biographie de l'auteur
Détails sur le produit
- ASIN : B08BT2KFD6
- Éditeur : The MIT Press (17 mai 2013)
- Langue : Anglais
- Taille du fichier : 13054 KB
- Synthèse vocale : Activée
- Confort de lecture : Activé
- X-Ray : Non activée
- Word Wise : Activé
- Nombre de pages de l'édition imprimée : 818 pages
- Classement des meilleures ventes d'Amazon : 576,460 en Boutique Kindle (Voir les 100 premiers en Boutique Kindle)
- Commentaires client :
Meilleure évaluation de France
Un problème s'est produit lors du filtrage des commentaires. Veuillez réessayer ultérieurement.
Je n'ai pas encore eu le temps de tout lire (je n'en suis qu'à la moitié) mais même si le livre s'arrêtait là, il justifierait déjà l'achat.
Meilleurs commentaires provenant d’autres pays
First, at nearly 500 pages, it compares (actually excels) others that sell for $100 plus, at a fraction of the cost and three times the coverage. As an MIT title, the editing quality is comparable to Springer titles that are not as up to date, and cost $150 US plus.
I'm sometimes surprised at the "hot selling" big data titles for companies, when this lesser known Library Information Science/Systems (LIS) field has extraordinary metadata information, from digital files to storage and retrieval (this author's forte). There even is a new "CDSO" position in companies (Chief Data Science Officer) paying in some cases over $240K US, which is, essentially, a digital librarian with great semantic web and/or XML skills! Data Science folks take note: you get a much bigger bang for your buck with this title, which covers your field as well as many deeper search/ cataloging topics, very up to date, than specialized books lunching off the "big data" title and really not covering the "how to" essentials as this fine text does.
If you're new to the field, "meta" generally means recursion, so metadata is data about data-- keywords, searches, indexing, cataloging, taxonomy, ontology, classification science, etc. It is the old card catalog updated to the Google era of search/ retrieval, and at its apex, deals with bayesian models, markov, stats, etc. in "guessing" the most relevant hierarchies. In the words of one of the greatest philosphers of all time (Jeff Goldblum in Law and Order, Criminal Intent): "The brain is, essentially, a relevance machine." Ergo, hierarchies and classifications using recursion! Some scholarly journals are now even requiring standardized classification system numbers in specialized areas (like ISBN or ASIN), only for numerous science topics. Two examples: The MSC2010 in math, and the ACM 2012 in Computer Science. Google them for examples. Physicists are already aware of the newer Gauge classifiers, and LIS and big data folk are now folding those into wider bodies of knowledge in STEM. Other bodies of knowledge focus on standards, like IEEE, but also are essentially classification systems.
The book covers the broadest range of topics I've found in metadata, from digital to classic organization science. It also gives a great bib, so you can buy the RIGHT XML detail book for $20 instead of the prettied-up "XML for Librarians" for $80! Big data-ers take note: this author also details more specialized software and apps that are just as important for IT departments and corporations in general, as libraries. If you're into LIS, search engines, bodies of knowledge, classifications systems, etc. this is a MUST. But I'd also push the envelope and say that it also will find a great new audience for the price and content in big data. Highly recommended.
By the way, speaking of, if you ARE in IT or big data, Glushko also has a more technical corporate-frame book that's also from MIT, and was on sale for a while (at 700 pages!) for under $20 US. Compare it to others HERE: Document Engineering: Analyzing and Designing Documents for Business Informatics and Web Services .
Emailer question: "I heard this guy is more of a library than IT person, and trashes IT. Is that true?" A. Actually, no. The author makes a point of "staying positive" but does tell a sad and funny story of Bush/Memex and a bunch of MIT researchers who wasted nearly entire careers on a "weblike organizing machine"-- even presaging URLs in some ways, but which never saw the light of day or proved useful to anyone. Glushko deftly shows how LIS principles not only would have saved that effort, but also how they were and are being employed in the digital age in many forms. Some LIS folks call things resources, arrangements, relationships, scans, retrieves, interactions etc. that we IT folks would call parsing, compiling, links, subroutines, objects and classes, but Glushko is savvy enough to relate these to each other throughout the text. This book really creates an entirely new field of "organizing science" at the intersections of Big Data, LIS and IT, pretty amazing.