Content tagged with “information-architecture”

There are 21 item(s) tagged with “information-architecture” on this site.

Other tags used by these items: web, design, history, psychology, business, biography, science, architecture, tech, learning, organizing, content, content-management, self-help, spies, libraries, digital-evolution, knowledge-management, programming, linguistics, chicago, short-stories

The Book of Trees: Visualizing Branches of Knowledge
Section
Deane’s Library
Type
Book Review
Date
January 1, 2019

“This book was not what I expected. I thought I was getting a book on information organization and architecture…but that’s not what this is. This is an art book. It’s a collection of the ways people have tried to express hierarchical information in tree forms for thousands of years. It’s a picture…”

Classification Made Simple
Section
Deane’s Library
Type
Book Review
Date
March 29, 2014

“A solid introduction to classification, cataloging, indexing, and organization structures. It’s a textbook, so some of it gets necessarily academic. I enjoyed the emphasis on history. Raganathan is covered extensively, as is Bliss. There are long sections on category labeling, which is probably…”

How to Make Sense of Any Mess: Information Architecture for Everybody
Section
Deane’s Library
Type
Book Review
Date
November 30, 2025

“I’m not totally sure what to make of this book. I’ll probably let it sit for a few weeks then read it again. Although, ‘read’ is an odd word to describe it, because the presentation is non-traditional. There are seven chapters, but each page is its own self-contained thought with its own heading….”

Intellectual Foundation of Information Organization
Section
Deane’s Library
Type
Book Review
Date
November 3, 2016

“incredibly dense book about library organization and cataloging systems. it’s good, but would take about three readings (with a group) to really plumb the depths of it. the key takeaway for me was: organizing information is often not perfect, and you have to make concessions to reality….”

Intertwingled: Information Changes Everything
Section
Deane’s Library
Type
Book Review
Date
September 30, 2014

“I am an unabashed fan of ‘Information Architecture for the World Wide Web,’ which Morville wrote with Lou Rosenfeld. A few years ago, I read ‘Ambient Findability’ from Morville and was deeply disappointed – it was all elaborate and fluffy theory, with no practical relevance. Almost unbelievably,…”

Introduction To Information Behaviour
Section
Deane’s Library
Type
Book Review
Date
March 31, 2018

“Excellent book on how people interact with information, all the way from the identification of a deficit (‘I should know this.’) through skimming, detailed analysis, and reinforcement. Very conceptual – analyzes the process from a very basic level. It stumbles a bit in the end for my purposes. It…”

The Knowledge Graph Cookbook
Section
Deane’s Library
Type
Book Review
Date
January 24, 2022

“An eclectic introduction to the idea of a knowledge graph. My only gripe is that you have to wait until about halfway through the book to figure out what a knowledge graph is, in specific nuts and bolts. (It’s a bunch of things, enabled by labeling things with RDF.) I’ve always felt that some books…”

Lessons Learned from the Friends Episode Tagging Project

“The Other Side: this page details the lessons learned from the actual project. To see the project itself, visit The Friends Episode Tagging Project As I was tagging all the episodes of Friends, lots of thoughts starting running through my head: Was I doing this right? Could this be done better?…”

On How Buildings Grow…
Section
LinkedIn Posts
Type
Social Media Post
Date
June 22, 2024

Digital properties grow a lot like buildings do. Studying the latter can help us understand the former.

Typologies and Taxonomies: An Introduction to Classification Techniques
Section
Deane’s Library
Type
Book Review
Date
May 5, 2017

“I didn’t totally understand this, and I don’t think I was the audience for it. I thought it was something for editors and content managers, but this is a book for statisticians or research scientists. There’s a lot of math here, and it’s geared towards the classification of large datasets based on…”