The document discusses the challenges faced by journalists in Argentina regarding the judicial processes related to the dictatorship from 1976, where 30,000 people went missing. It outlines the tools and approaches used for semantic analytics, data mining, and visualizing relationships among documents through a software prototype called mapa76. The document emphasizes the need to improve the processing and analysis of large amounts of unstructured data contained in judicial documents.

1. Visualizing Relationships:
Journalistic Problems in a Digital
Age

2. Summary
1. Introduction
2. The Problem we are solving
3. Involved issues
4. Problems we found
5. The Challenge
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3. WHO ARE WE?
• Mariano Blejman is a technology editor
and youth editor in Argentine newspaper
Página/12, and Hacks/Hackers Buenos
Aires co-founder. @blejmanevel
• Marcos Vanetta is a biomedical engineer.
Software developer at 3PillarGlobal and
hacker at Hacks/Hackers Buenos Aires.
@malev
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4. HACKS/HACKERS BUENO AIRES
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5. THE PROBLEM
• 1976 A dictatorship started in Argentina.
• 30,000 persons were kidnapped and disappeared.
• 1985 First trials happened in Argentina. They judged the
bad guys but we have to stop.
• 2003 Justice start judging the bad guys again.
• 2012 Large amount of judicial documents.
No one can read all of them
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6. INVOLVED ISSUES
• Semantic Analytics
• Ontology
• Data Mining
• Social Network Analysis
• Visualizations
Who were dealing with documents?
DocumentCloud, Overview, Open Calais, NLTK, Gate
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7. FIRST APPROACH
Read all the documents
Software solution based on regular expressions
Ruby, Padrino and MySQL database.
def self.extract_plain_text(path)
basename = File.basename(path).split('.')[0..-2].join('.')
tmp_dir = Dir.tmpdir
Docsplit.extract_text(path, :output => tmp_dir, :ocr => false)
text = File.open(File.join(tmp_dir, "#{basename}.txt")).read
self.clean_text(text)
end
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8. THE PROBLEMS WE FOUND
• Convert text from pdf files
• Extract entities from documents
• Parse dates and addresses
• Co-reference names resolution
• How to store relations
• Documents contextual information
• Confidence on data on a crowdsourcing platform.
Visualizing Relationships over the Time
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9. WHAT DO WE HAVE
NOW?
Prototype for a single (and
local) use case: mapa76
Platform for different use
cases: analice.me
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10. THE VISUALIZATIONS THAT WE
IMAGINED
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12. THE VISUALIZATIONS THAT WE FOUND
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14. THE #MOZFEST CHALLENGE
Find a big journalistic issue that involves:
• Lot of documents with unstructured data
• Lot of data to find inside
• What relationships do you wants to find
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