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The Right to Read is the Right to Mine
http://contentmine.org
Background
• Contentmine aims to make large areas of scientific fact OPEN (100
million facts/year)
• We’re working with WellcomeTrust, Europe PubMedCentral, etc.
• A politically “hot” area (Hargreaves legislation, EU activity)
• 2015 WellcomeTrust workshop on TDM and Neuroscience; “rough
consensus” on what was needed.
• Day workshop at Cochrane, UK (Amy Price, Anna Noel Storr, Ben
Goldacre)
• 2-day workshop at Edinburgh on Systematic Reviews of Animal Test
publications
• In the last few months we’ve prototyped a unique Open starting
point, continuously released.
• Now actively building communities (plants, clinical, animals,
psychology, crystallography, HEPhys)
http://www.nytimes.com/2015/04/08/opinion/yes-we-were-warned-about-
ebola.html
We were stunned recently when we stumbled across an article by European
researchers in Annals of Virology [1982]: “The results seem to indicate that
Liberia has to be included in the Ebola virus endemic zone.” In the future,
the authors asserted, “medical personnel in Liberian health centers should be
aware of the possibility that they may come across active cases and thus be
prepared to avoid nosocomial epidemics,” referring to hospital-acquired
infection.
Adage in public health: “The road to inaction is paved with research
papers.”
Bernice Dahn (chief medical officer of Liberia’s Ministry of Health)
Vera Mussah (director of county health services)
Cameron Nutt (Ebola response adviser to Partners in Health)
A System Failure of Scholarly Publishing
catalogue
getpapers
query
Daily
Crawl
EuPMC, arXiv
CORE , HAL,
(UNIV repos)
ToC
services
PDF HTML
DOC ePUB
TeX XML
PNG
EPS CSV
XLSURLs
DOIs
crawl
quickscrape
norma
Normalizer
Structurer
Semantic
Tagger
Text
Data
Figures
ami
UNIV
Repos
search
Lookup
CONTENT
MINING
Chem
Phylo
Trials
Crystal
Plants
COMMUNITY
plugins
Visualization
and Analysis
PloSONE, BMC,
peerJ… Nature, IEEE,
Elsevier…
Publisher Sites
scrapers
queries
taggers
abstract
methods
references
Captioned
Figures
Fig. 1
HTML tables
30, 000 pages/day
Semantic ScholarlyHTML
Facts
What is “Content”?
http://www.plosone.org/article/fetchObject.action?uri=info:doi/10.1371/journal.pone.01113
03&representation=PDF CC-BY
SECTIONS
MAPS
TABLES
CHEMISTRY
TEXT
MATH
contentmine.org tackles these
What is “Content”?
How “data” are published in the 21st C
ContentMine Workshops and
Hackdays
Open Science Brazil, 2014-08
Easily distributed software
Get started in 30 mins
Build application
in a morning
Start simple: bagOfWords, Stemming, Regex, templates
Oxford 2013
Berlin 2014
Delhi 2014
Jenny Molloy with mascot AMI
Workshops
(1-hour -> full day or more)
2014-May->Nov
• Budapest/Shuttleworth
• Leicester Univ
• Electronic Theses and Dissertations
• Austrian Science Fund AT
• OKFest DE
• Eur. Bioinformatics Institute
• Open Science Rio de Janeiro BR
• Sci DataCon , Delhi IN
• Univ of Chicago US
• OpenCon 2014, Wash DC. US
• JISC , London
Upcoming
• LIBER
• Cochrane
• BL
• Wellcome Trust (April)
• WHO
Collaborators
• Wikimedia/Wikidata
• Mozilla
• Open Knowledge
• LIBER (European Research Libraries)
• British Library
• Wellcome Trust
• EBI (Eur. Bioinf. Inst.)
• JISC
• Open Access Button
• SPARC
• Creative Commons
• CORE
• EuropePubmedCentral
Facts Marked by “non-scientists” in ContentMine workshops
With Wikipedia everyone can be a scientist
Linked Open Data – the world’s knowledge
very little physical science and THESES?? 
http://upload.wikimedia.org/wikipedia/commons/3/34/LOD_Cloud_Diagram_as_of_September_2011.png
DBPedia
BIO
Comp
Lib
PDB
Ontologies
GOV
GOV.uk
Music,
Art
Literature
Social
Knowledge
bases
RDF
triples
https://en.wikipedia.org/wiki/Irrigation#mediaviewer/File:Pump-
enabled_Riverside_Irrigation_in_Comilla,_Bangladesh,_25_April_2014.jpg CC BY-SA 3.0
Daily Stream of 100,000 Open Facts
Twitter?Indexed by CAT
PLoSONE BMC
1
BMC
2
Closed1 Closed2Hybrid
CATalog
Enhanced annotated
articles
FACTSFACTS
Daily Crawl
Crawl … Scrape … Normalize … Mine
Linked OpenData
Semantic
Scientific Objects
2000-5000
Articles
quickscrape
Crawl
Feed
Norma Index &
Transform
TXT
XML
URL
DOI
Scientific
literature
Repositories DOC
CSV
sHTML
Plugins
Regex
SequencesSpecies
Bespoke
Scrapers
XPathPer-Journal
Taggers
Per- Journal
MetadataChemistry
Phylogenetics Farming
AMI
BadHTML
OCR
Diagrams
Open NORMA-lized Scientific
Literature + Facts
CANARY pipeline
CAT-alogue index
PDF
AMI-plugins
• BagOfWords, Stemming and Regular Expressions
• Species
• Biological Sequences
• Chemical compounds & reactions
• Crystallography * (Saulius Grazulis, COD)
• Clinical Trials * (Amy Price)
• Phylogenetics * (Ross Mounce)
• Phytochemistry * (Chris Steinbeck, PMR)
• Psychology * (Chris Hartgerink)
• HighEnergyPhysics (Durham)
* subcommunities
Questions we can tackle
• How to we find (mentions of) clinical/animal trials?
• Is a document a trial?
• What is the subject of the trial?
• What is the methodology used?
• Does the design and practice conform to
CONSORT/ARRIVE?
• What are the outcomes?
• Can we extract specific re-usable information?
• Who are involved? (researchers, sponsors, patients?)
• Has a proposed trial been completed and reported?
Text-based plugins
• Bag of words
(https://en.wikipedia.org/wiki/Bag-of-
words_model)
• https://en.wikipedia.org/wiki/Tf%E2%80%93idf
(Term-frequency, inverse document frequency)
• Templates and regexes (regular expressions).
“Bag of Words”
Three fulltext articles from trialsjournal.com
Regular Expressions for Systematic Reviews of Animal Tests
Preceding Text
Following Text
Extracted term
http://chemicaltagger.ch.cam.ac.uk/
• Typical
Typical chemical synthesis
Open Content Mining of FACTs
Machines can interpret chemical reactions
We have done 500,000 patents. There are >
3,000,000 reactions/year. Added value > 1B Eur.
Ln Bacterial load per fly
11.5
11.0
10.5
10.0
9.5
9.0
6.5
6.0
Days post—infection
0 1 2 3 4 5
Bitmap Image and Tesseract OCR
AMI https://bitbucket.org/petermr/xhtml2stm/wiki/Home
Example reaction scheme, taken from MDPI Metabolites 2012, 2, 100-133; page 8, CC-BY:
AMI reads the complete diagram,
recognizes the paths and
generates the molecules. Then
she creates a stop-fram animation
showing how the 12 reactions
lead into each other
CLICK HERE FOR ANIMATION
(may be browser dependent)
https://blogs.ch.cam.ac.uk/pmr/2014/06/25/content-mining-we-can-now-
mine-images-of-phylogenetic-trees-and-more/ for story of extraction
Thinning Topology
Serialization
Newick
Phytochemistry extraction
O. dayi
“volatile composition of “
A.sibeiri
A. judaica
Displayed by CAT (CottageLabs)
What we can do
• Recognize and promote autonomous sub-
communities
• Engage Early Career Researchers, including
undergraduates and let THEM BUILD the
systems.
• COMMUNALLY build tools for data checking
• Insist on semantic data input, even if it costs
submissions
contentmine.org team

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Why ContentMining is useful

  • 1. The Right to Read is the Right to Mine http://contentmine.org
  • 2. Background • Contentmine aims to make large areas of scientific fact OPEN (100 million facts/year) • We’re working with WellcomeTrust, Europe PubMedCentral, etc. • A politically “hot” area (Hargreaves legislation, EU activity) • 2015 WellcomeTrust workshop on TDM and Neuroscience; “rough consensus” on what was needed. • Day workshop at Cochrane, UK (Amy Price, Anna Noel Storr, Ben Goldacre) • 2-day workshop at Edinburgh on Systematic Reviews of Animal Test publications • In the last few months we’ve prototyped a unique Open starting point, continuously released. • Now actively building communities (plants, clinical, animals, psychology, crystallography, HEPhys)
  • 3. http://www.nytimes.com/2015/04/08/opinion/yes-we-were-warned-about- ebola.html We were stunned recently when we stumbled across an article by European researchers in Annals of Virology [1982]: “The results seem to indicate that Liberia has to be included in the Ebola virus endemic zone.” In the future, the authors asserted, “medical personnel in Liberian health centers should be aware of the possibility that they may come across active cases and thus be prepared to avoid nosocomial epidemics,” referring to hospital-acquired infection. Adage in public health: “The road to inaction is paved with research papers.” Bernice Dahn (chief medical officer of Liberia’s Ministry of Health) Vera Mussah (director of county health services) Cameron Nutt (Ebola response adviser to Partners in Health) A System Failure of Scholarly Publishing
  • 4. catalogue getpapers query Daily Crawl EuPMC, arXiv CORE , HAL, (UNIV repos) ToC services PDF HTML DOC ePUB TeX XML PNG EPS CSV XLSURLs DOIs crawl quickscrape norma Normalizer Structurer Semantic Tagger Text Data Figures ami UNIV Repos search Lookup CONTENT MINING Chem Phylo Trials Crystal Plants COMMUNITY plugins Visualization and Analysis PloSONE, BMC, peerJ… Nature, IEEE, Elsevier… Publisher Sites scrapers queries taggers abstract methods references Captioned Figures Fig. 1 HTML tables 30, 000 pages/day Semantic ScholarlyHTML Facts
  • 7. How “data” are published in the 21st C
  • 8. ContentMine Workshops and Hackdays Open Science Brazil, 2014-08 Easily distributed software Get started in 30 mins Build application in a morning Start simple: bagOfWords, Stemming, Regex, templates
  • 9. Oxford 2013 Berlin 2014 Delhi 2014 Jenny Molloy with mascot AMI
  • 10. Workshops (1-hour -> full day or more) 2014-May->Nov • Budapest/Shuttleworth • Leicester Univ • Electronic Theses and Dissertations • Austrian Science Fund AT • OKFest DE • Eur. Bioinformatics Institute • Open Science Rio de Janeiro BR • Sci DataCon , Delhi IN • Univ of Chicago US • OpenCon 2014, Wash DC. US • JISC , London Upcoming • LIBER • Cochrane • BL • Wellcome Trust (April) • WHO Collaborators • Wikimedia/Wikidata • Mozilla • Open Knowledge • LIBER (European Research Libraries) • British Library • Wellcome Trust • EBI (Eur. Bioinf. Inst.) • JISC • Open Access Button • SPARC • Creative Commons • CORE • EuropePubmedCentral
  • 11. Facts Marked by “non-scientists” in ContentMine workshops With Wikipedia everyone can be a scientist
  • 12. Linked Open Data – the world’s knowledge very little physical science and THESES??  http://upload.wikimedia.org/wikipedia/commons/3/34/LOD_Cloud_Diagram_as_of_September_2011.png DBPedia BIO Comp Lib PDB Ontologies GOV GOV.uk Music, Art Literature Social Knowledge bases RDF triples
  • 14. PLoSONE BMC 1 BMC 2 Closed1 Closed2Hybrid CATalog Enhanced annotated articles FACTSFACTS Daily Crawl Crawl … Scrape … Normalize … Mine Linked OpenData Semantic Scientific Objects 2000-5000 Articles
  • 15. quickscrape Crawl Feed Norma Index & Transform TXT XML URL DOI Scientific literature Repositories DOC CSV sHTML Plugins Regex SequencesSpecies Bespoke Scrapers XPathPer-Journal Taggers Per- Journal MetadataChemistry Phylogenetics Farming AMI BadHTML OCR Diagrams Open NORMA-lized Scientific Literature + Facts CANARY pipeline CAT-alogue index PDF
  • 16. AMI-plugins • BagOfWords, Stemming and Regular Expressions • Species • Biological Sequences • Chemical compounds & reactions • Crystallography * (Saulius Grazulis, COD) • Clinical Trials * (Amy Price) • Phylogenetics * (Ross Mounce) • Phytochemistry * (Chris Steinbeck, PMR) • Psychology * (Chris Hartgerink) • HighEnergyPhysics (Durham) * subcommunities
  • 17. Questions we can tackle • How to we find (mentions of) clinical/animal trials? • Is a document a trial? • What is the subject of the trial? • What is the methodology used? • Does the design and practice conform to CONSORT/ARRIVE? • What are the outcomes? • Can we extract specific re-usable information? • Who are involved? (researchers, sponsors, patients?) • Has a proposed trial been completed and reported?
  • 18. Text-based plugins • Bag of words (https://en.wikipedia.org/wiki/Bag-of- words_model) • https://en.wikipedia.org/wiki/Tf%E2%80%93idf (Term-frequency, inverse document frequency) • Templates and regexes (regular expressions).
  • 19. “Bag of Words” Three fulltext articles from trialsjournal.com
  • 20. Regular Expressions for Systematic Reviews of Animal Tests Preceding Text Following Text Extracted term
  • 22. Open Content Mining of FACTs Machines can interpret chemical reactions We have done 500,000 patents. There are > 3,000,000 reactions/year. Added value > 1B Eur.
  • 23.
  • 24. Ln Bacterial load per fly 11.5 11.0 10.5 10.0 9.5 9.0 6.5 6.0 Days post—infection 0 1 2 3 4 5 Bitmap Image and Tesseract OCR
  • 25. AMI https://bitbucket.org/petermr/xhtml2stm/wiki/Home Example reaction scheme, taken from MDPI Metabolites 2012, 2, 100-133; page 8, CC-BY: AMI reads the complete diagram, recognizes the paths and generates the molecules. Then she creates a stop-fram animation showing how the 12 reactions lead into each other CLICK HERE FOR ANIMATION (may be browser dependent)
  • 27. Phytochemistry extraction O. dayi “volatile composition of “ A.sibeiri A. judaica Displayed by CAT (CottageLabs)
  • 28. What we can do • Recognize and promote autonomous sub- communities • Engage Early Career Researchers, including undergraduates and let THEM BUILD the systems. • COMMUNALLY build tools for data checking • Insist on semantic data input, even if it costs submissions