Internet Memory Research
From Web Archiving services
to Web scale data processing platform
GA IIPC, Paris, May 19th 2014
Overview
Internet Memory Research
• Company
• Vision
• Technologies
Services
• Archive the Net
• Mignify
• Newstretto
Use-Cases
• Improve your Selection Process
• Search in your Web archive
• Extract valuable information
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Internet Memory Research
Spin-off of the Internet Memory Foundation
French start-up, founded in 2011
20+ engineers
Actively engaged in the Web Information Mining field:
• EU Projects: DOPA, Annomarket, TrendMiner, Rethink
Big, ASAP
• Clusters Cap Digital & Systematic
• Alliance Big Data
• Conferences: Search, iexpo, Crawl the Web...
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Vision
• The Web is full of valuable data:
 Variety
 Quantity
• This data is not so easy to collect, access and
process at large scale
• Making Web data available will create many
new business opportunities for the data
ecosystem
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Technologies
• Large Scale Crawler with high performances
• Scalable platform based on
A distributed architecture
Big data components (Hadoop, Hbase, HDFS,...)
• Set of proprietary and open source analytic agents providing
Text Mining & Data Mining
Semantical operations
Statistical operations
• Infrastructure
170+ servers
Innovative infrastructure with low consumption
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References
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From
✓
✓
✓
SaaS, automated software service with a
friendly user interface
Qualified team to provide quality
Combining new technology and user needs
Any institution whose aim is to collect and
For
preserve web material for historical,
whom? cultural or heritage purpose
National Libraries
Large scale crawl for
the German National
Library
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Archives / Research
Selective crawls with
high level of Quality
Assurance
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A.V. Archives
Advanced module for
web video and social
media content
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To





Web data processing platform
Market place for technological bricks
Crawl on demande
Sources Packages
Set of extracted data (price, posts,
micro-formats)
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Through
Innovative app fighting information deluge
and bringing you information sur mesure
You give Keywords, and it brings back
From the Web and social media
Selected hot and relevant news, without all the noise.
Today 8+M URLs are sent to
the platform and around of
the ¼ URLs match with
users favorite topics.
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Improve your Selection Process
o Manual selection VS Newstretto
o Automated refreshment rate for active
sources (RSS, Forums,...)
o Smart discovery crawl for large crawls (topic,
language, TLD, ...)
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Nb of Sources
740.000+ RSS feeds
Nb of Resources
11 millions (RSS item pages)
Size
50 Gb
Example of RSS Refreshment Rate (sample)
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Search in your Large Corpus
o Full text Index with Elastic Search
o Automated categorization (News, Forums,
Blogs,...)
o Semantic expansion
o TopicMatching
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Example of Semantic Expansion
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Extract valuable information
from your large corpus
for Users / Researchers
o
o
o
o
o
o
o
Cleaned text
Keywords to add Cloud
Outlinks to analyze Graphs
Structure unstructured data (forums,...)
Named entities (partner’s brick)
Summarization (partner’s brick)
More are coming soon...
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Example of Extracted Data
URL
User names
Thread
Content
Dates
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What if you could integrate
those tools on the top
of your current corpus?
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Internet Memory Research
Chloé Martin
chloe@internetmemory.net
Co-founder & Sales Manager
http://archivethe.net
contact@archivethe.net
@archivethenet
http://mignify.com
contact@mignify.com
@mignify
http://newstretto.com
contact@newstretto.com
@newstretto
With the support of
the European Commission
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