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Cloud of Knowing set up

Cloud1: the set up for the Cloud of Knowing project in 2009

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the first deck in the Cloud series for a meeting called Cloud1. This presentation lays down the principles for the open source Cloud of Knowing project. Chris Arning presented a deck about the semantic web. There were 4 of us who went! It was an inauspicious start for a group which drew in some seriously bright people and got asked some fundamental questions. There was no budget, no confidentiality clause. Any presentation made was put on a webjam so anyone could see it. That's how the project began.

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Page 1: Cloud1: the set up for the Cloud of Knowing project in 2009

Cloud of Knowing set up

Page 2: Cloud1: the set up for the Cloud of Knowing project in 2009

Analysis and Interpretation: The cloud of knowing

how it started

Page 3: Cloud1: the set up for the Cloud of Knowing project in 2009

Can they be brought together?

TextAnalytics

Research

Page 4: Cloud1: the set up for the Cloud of Knowing project in 2009

E-Anthropology E-ethnography

Is it bricolage? Ie an acceptableMethodology?

Or is it picking dead stuff‘because it looks interesting’?

Page 5: Cloud1: the set up for the Cloud of Knowing project in 2009

Textual analysis on the web – how good is it?

RSS feeds Tagging Key words searches

Dodgy social media measurement techniques Eg deduct neutral tweets and subtract

negative tweets from positive ones. That’s the score!!

Page 6: Cloud1: the set up for the Cloud of Knowing project in 2009

Some questions about the originators

Who are they, where are they from and how did they come to post this content?

What did they mean? Which audience were they writing for? What is the context? Are they being paid? Is this their genuine opinion or are they

stooges – marketing constructs?

Who do they represent?

Page 7: Cloud1: the set up for the Cloud of Knowing project in 2009

Themes to resolve

How to source and structure textual web content (and other media forms as well)

How to validate it What if we worked with other web users

what would we get them to do? How do we sort and grade content? How do we sort and grade web users?

Page 8: Cloud1: the set up for the Cloud of Knowing project in 2009

Grab bag of issues

Sourcing – RSS feeds Hunting – recruiting webusers to go

taggin Grading – recruiting webusers to grade

what comes in Profiling – using scoring models as in

direct marketing profiles

Page 9: Cloud1: the set up for the Cloud of Knowing project in 2009

Open source approach

Work on it together because the issues are too big for any one research agency