Getting Started with Fluidinfo: Online Information Storage and Search Platform

by Nicholas Radcliffe, Nicholas Tollervey

Overview

Imagine a public storage system that has a place online for structured data about everything that exists—or that could exist. This book introduces Fluidinfo, a system that enables you to store information about anything, real or imaginary, in any digital form. You’ll learn how to organize and search for data, and decide who can use, modify, and extend what you’ve contributed.

This guide demonstrates Fluidinfo’s potential to create social data, with facilities that encourage users and applications to share, remix, and reuse data in ways they may not have anticipated. You’ll learn how to use tools for reading and writing data, and how to use Fluidinfo in your own applications by working with its writable API and simple query language.

• Read and write Fluidinfo data from web applications—and reuse and build upon each other’s data
• Discover Fluidinfo’s permissions system for tags and namespaces
• Learn how to use Fish, the command-line tool for interacting with Fluidinfo data
• Delve into Fluidinfo’s RESTful API, and learn how to make HTTP requests
• Use Fluidinfo client libraries to build a simple Python utility or a JavaScript web application

Product Details

ISBN-13:	9781449307097
Publisher:	O'Reilly Media, Incorporated
Publication date:	04/03/2012
Pages:	134
Product dimensions:	7.00(w) x 9.19(h) x 0.30(d)

About the Author

Nicholas Radcliffe is a consultant specializing in predictive modeling and stochastic optimization. He is best known for developing forma analysis, a theory of representation for genetic algorithms, and uplift modeling, a novel statistical approach to predictive modeling as it applies in marketing optimization.



After gaining a Ph.D. in Theoretical Physics at Edinburgh University,
he joined the newly forming Edinburgh Parallel Computing Centre in 1990, where he led a group that used high-performance computing to tackle business and commercial problems. In 1995, with three colleagues he founded Quadstone Limited, a VC-backed company that built the Decisionhouse suite of analytical and visual marketing tools for large-scale data analysis. He served as CTO of Quadstone until 2007, when he left to form Stochastic Solutions Limited, a consulting firm that also develops and markets the Artists suite of analytical software. Radcliffe also serves as a Visiting Professor at the University of Edinburgh, attached to the Operational Research Group, and has published numerous scientific and technical papers as well as the book
Sustainability: A Systems Approach, written with Anthony Clayton for WWF (the former World-Wide Fund for Nature).



Radcliffe's connection with Fluidinfo dates back to the late 1980's when he and Fluidinfo's founder, Terry Jones, both researched genetic algorithms, sharing a common interest in representation issues. Radcliffe has been a friend of and advisor to the Fluidinfo company since its inception. Radcliffe wrote the open-source Fluidinfo Shell (Fish) software for interfacing with Fluidinfo, writes a blog, About Tag, that discusses representation issues as they affect Fluidinfo, and maintains several web services for accessing Fluidinfo. He also writes a separate blog on analytical marketing, The Scientific Marketer.

Nicholas is a classically trained musician, philosophy graduate, teacher, writer and software developer. He's just like this biography: concise, honest and full of useful information.

Table of Contents

Preface; Organization of this Book; Versions; Conventions Used in This Book; Using Code Examples; Safari® Books Online; How to Contact Us; Acknowledgments; Chapter 1: What Is Fluidinfo?; 1.1 The Openly Writable World; 1.2 Key Concepts; 1.3 Organizational Metaphor; 1.4 Signing Up for a Fluidinfo Account; Chapter 2: Fluidinfo from the Command Line; 2.1 Getting Started with the Tags, Show, and Get Commands; 2.2 Tagging and Untagging; 2.3 Specifying Objects; 2.4 Managing Tags and Namespaces; 2.5 The Fluidinfo Permissions System; 2.6 Extended Example: Working with Books in Fluidinfo; Chapter 3: Social Data; 3.1 Twitter and Social Data; 3.2 O’Reilly Metadata; 3.3 Blog Mining and Emerging Conventions; 3.4 Social Data; Chapter 4: Programming with Fluidinfo; 4.1 Client Libraries; 4.2 Fluidinfo.py Fundamentals; 4.3 Common Tasks Using fluidinfo.py; Chapter 5: Programming with FOM; 5.1 FOM Fundamentals; 5.2 Putting It All Together; Chapter 6: Programming Fluidinfo with JavaScript; 6.1 API Functions; 6.2 Utility Functions; 6.3 An Example Application: The Social Bookreader; Chapter 7: Fluidinfo’s RESTful API; 7.1 Making HTTP Requests to Fluidinfo; 7.2 API Endpoints; Chapter 8: Advanced Use of the Fluidinfo Shell; 8.1 Permissions in Depth; 8.2 Setting Individual Low-Level Permissions with perms -X; 8.3 Generating Unix-style Long Listings with ls -l and ls -g; Chapter 9: Conventions for the About Tag; 9.1 A Book Example; 9.2 The Perfect About Tag; 9.3 Normalization and Standardization; 9.4 Specificity, Ambiguity, and Language; 9.5 Tags for Indicating Related Objects (Linking); 9.6 Constructing About Tags for Common Objects; 9.7 The Abouttag Command; 9.8 Finding Fluidinfo Objects from Amazon Product Pages; 9.9 Generic Normalization; 9.10 Command Substitution; Fluidinfo Query Language Reference; Tag Presence: The has Operator; Equality: The = Operator; Numeric Inequality Comparisons: <, <=, >=, >; Inexact Text Matching: The matches Operator; Combining Queries with and, or, except, and Brackets; List-Valued Tags: The contains Operator; Colophon;