Published on Mar 4, 2016 by PMR Text and data mining (TDM) techniques can be applied to a wide range of materials, from published research papers, books and theses, to cultural heritage materials, digitised collections, administrative and management reports and documentation, etc. Use cases include academic research, resource discovery and business intelligence. This workshop will show the value and benefits of TDM techniques and demonstrate how ContentMine aims to liberate 100,000,000 facts from the scientific literature, and ContentMine will provide a hands on demo on a topical and accessible scientific/medical subject.

1. Content Mining (TDM)
Peter Murray-Rust,
ContentMine.org and UniversityofCambridge
JISC Digifest, Birmingham, UK, 2016-03-02
Invited and Sponsored by JISC
F/OSS tools from contentmine.org
Images from Wikimedia CC-BY-SA

2. The Right to Read is the Right to Mine**PeterMurray-Rust, 2011
http://contentmine.org

3. Overview
• Open Semistructured Documents .are the most exciting
underutilised knowledge resource
– Scholarly literature
– Theses
– Clinical trials
– Government and NGO publications
– Product information …
• Content Mining can make huge contributions.
• EuropePubMedCentral(*) is the world’s best place to start.
• Socio-politico-legal aspects cannot be ignored.
• (*) Wellcome Trust, RCUK, FWF (Austria), Cancer Research UK, NHS UK ….

4. Mining strategy
• Discover. negotiate permissions . => bibliography
• Crawl / Scrape (download), documents AND
supplemental
• Normalize. PDF => XML
• Index: facets => Facts and snippets (“entities”)
• Interpret/analyze entities => relationships,
aggregations (“Transformative”)
• Publish

5. catalogue
getpapers
query
Daily
Crawl
EPMC, 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
CONTENTMINE Complete OPEN Platform for Mining Scientific Literature

6. Want to know about Zika?
Just Type:
ZIKA!

7. Semantic Fulltext
• EuropePMC coherent OpenAccess
• getpapers: query , download (through API).
• AMI filters, checks[1], transforms facts in papers.
• sequences, species, genera, genes,
dictionaries
[0] All operations shown run in total of <3 minutes.
[1] Dictionaries and lookup.
[2] Usable from home by anyone
Zika endemic areas
Wikimedia CC-BY-SA

8. Download all Open Access “Zika” from
EuropePMC in 10 seconds
(click below for movie)
Aedes aegypti, Wikimedia CC-BY-SA
Note: movies of this and other slides can be seen at https://vimeo.com/154705161

9. Downloaded all Open Access “Zika” from
EuropePMC in 10 seconds
Final download screen

10. Eyeballing 20/120 Zika papers,
click below for movie
Yellow Fever Virus
Wikimedia CC-BY-SA
Note: movie of this and other slides can be seen at https://vimeo.com/154705161

11. 3011 virus
1939 Ae./Aedes
1212 dengue
901 mosquito/es
894 species
791 ZIKV
721 using
716 DENV
567 detection
513 aegypti
484 infection
442 RNA
428 protein
401 albopictus
360 viral
Commonest words in 120 Zika papers
Mosquito spp.
Wikimedia CC-BY-SA

12. Filtering local files for sequence and viruses
AMI (part of ContentMine software)
(click below for movie)
Note: movies of this and other slides can be seen at https://vimeo.com/154705161

13. DNA Primers in running text
…the sodium channel voltage dependent gene (Nav). Primers
used to amplify this fragment were AaNaA
5’-ACAATGTGGATCGCTTCCC-3’
and AaNaB 5’-TGGACAAAAGCAAGGCTAAG-3’(8).
The primers amplify a fragment of approximately 472…
Snippet (quotable under 2014 UK Statutory Instrument (“Hargreaves”):
~/PMC4654492/results/sequence/dnaprimer/results.xml”
W3C Annotation
[PREFIX]
[MATCH] (link to target)
[SUFFIX]
CMine structure
plugin
option
DNA double stranded fragment
Wikimedia CC-BY-SA

14. Commonest species in 120 Zika papers
423 Ae./Aedes aegypti
333 Ae./Aedes albopictus
63 Ae. bromeliae
58 Ae. lilii
46 Ae. hensilli
42 Glossina pallidipes
40 Plasmodium vivax
35 Ae. luteocephalus
28 Ae. vittatus
25 Ae. furcifer
22 Plasmodium falciparum
21 Drosophila melanogaster
pre=“fever (DHF), are caused by the world's most prevalent mosquito-borne virus.
37 DENV is carried by " exact="Aedes aegypti” post=" mosquito, which is strongly
affected by ecological and human drivers, but also influenced by clima" name="binomial"/>

15. 183 Wolbachia
70 Aedes
69 Flavivirus/Flaviviridae
30 Glossina
17 Culex
Commonest genera in Zika papers
pre=”…-negative endosymbiotic bacterium, is a promising tool against diseases
transmitted by mosquitoes. " exact="Wolbachia” post=" can be found worldwide in
numerous arthropod species. More than 65% of all insect species are natu…”
Wolbachia in insect cell
Wikimedia CC-BY-SA

16. 38 ITS
20 MHC2TA
19 COI
14 CYPJ92
5 CYP6BB2
4 CYP9J28
3 MHC
Commonest genes in 120 Zika papers

17. • microcephaly 400/2400 papers; 2 mins;
commonest genes:
203 MCPH1
86 MECP2
54 SOX2
49 E2F1
47 SNAP29
40 IKBKG
40 NDE1
N-terminal domain of microcephalin
Wikimedia CC-BY-SA

18. Systematic Reviews
Researchers and their machines need to “read”
hundreds of papers a day or even more.

19. Polly has 20 seconds to read this paper…
…and 10,000 more

20. ContentMine software can do this in a few minutes
Polly: “there were 10,000 abstracts and due
to time pressures, we split this between 6
researchers. It took about 2-3 days of work
(working only on this) to get through
~1,600 papers each. So, at a minimum this
equates to 12 days of full-time work (and
would normally be done over several weeks
under normal time pressures).”

21. 400,000 Clinical Trials
In 10 government registries
Mapping trials => papers
http://www.trialsjournal.com/content/16/1/80
2009 => 2015. What’s
happened in last 6 years??
Search the whole scientific literature
For “2009-0100068-41”

22. Extracting scientific information

23. Mining strategy
• Discover. negotiate permissions . => bibliography
• Crawl / Scrape (download), documents AND
supplemental
• Normalize. PDF => XML
• Index: facets => Facts and snippets (“entities”)
• Interpret/analyze entities => relationships,
aggregations (“Transformative”)
• Publish

24. 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

25. 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
CONTENTMINE Complete OPEN Platform for Mining Scientific Literature

26. http://chemicaltagger.ch.cam.ac.uk/
• Typical
Typical chemical synthesis

27. 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.

28. Facts in context
daily IUCN endangered species news
en.wikipedia.org CC By-SA

29. ContentMine Fact of The Day
• Fact of the day
• Endangered species in recent science
• Facts
• Bubbles

30. https://en.wikipedia.org/wiki/Tree_of_life CC BY-SA

31. “Root”
4500 papers each
with 1 tree

32. OCR (Tesseract)
Norma (imageanalysis)
(((((Pyramidobacter_piscolens:195,Jonquetella_anthropi:135):86,Synergistes_jonesii:301):131,Thermotoga
_maritime:357):12,(Mycobacterium_tuberculosis:223,Bifidobacterium_longum:333):158):10,((Optiutus_te
rrae:441,(((Borrelia_burgdorferi:…202):91):22):32,(Proprinogenum_modestus:124,Fusobacterium_nucleat
um:167):217):11):9);
Semantic re-usable/computable output (ca 4 secs/image)

33. Supertree for 924 species
Tree

34. Supertree created from 4300 papers

35. Socio-politico-legal
• TDM is one of the most complex, uncertain,
confrontational, political, areas of human
endeavour.

36. Copyright and Mining
• PMR-premise: You cannot do reproducible
scientific mining and avoid violating copyright.
• UK (“Hargreaves”) 2014 legislation:
– “personal” “non-commercial*” “research” “data
analytics”
– legitimizes copying (?to disk), but not publishing
*teaching, textbooks, etc. may be “commercial”

37. STM Publishers prevent Mining
• FUD & disinformation about legality (Elsevier)
• Monopolies on infrastructure (“API”s, CCC
Rightfind)
• Technical obstruction (Wiley Captcha,
Macmillan Readcube)
• Restrictive contracts with libraries (ALL) [1]
• Wasting my/our time (ALL)
[1] [You may not] utilize the TDM Output to enhance … subject repositories
in a way that would [… ] have the potential to substitute and/or replicate
any other existing Elsevier products, services and/or solutions.

38. WILEY … “new security feature… to prevent systematic download of content
“[limit of] 100 papers per day”
“essential security feature … to protect both parties (sic)”
CAPTCHA
User has to type words

39. ContentMine working with Libraries
• Cambridge: Library, Plant Sciences,
Epidemiology, Chemistry
• Cochrane Collaboration on Systematic Reviews
of Clinical Trials
• FutureTDM (H2020, LIBER)
• Running workshops and training

40. CM Future
• Hypothes.is use ContentMine results for annotation
• (with Cambridge Univ Library) extracting daily
scientific facts from open and closed literature.
• with EBI, Cochrane Collaborations, JISC, OKF, LIBER,
TGAC/JohnInnes, DNADigest.
• Running workshops, hackdays.
• Planned outreach: MEPs, EC, Slashdot, Reddit,
Kickstarter, geekdom
• http://contentmine.org (OpenLock non-profit)

41. ContentMine working with Libraries
• Cambridge: Library, Plant Sciences, Epidemiology,
Chemistry
• Cochrane Collaboration on Systematic Reviews of
Clinical Trials
• FutureTDM (H2020, LIBER)
• Running workshops and training
• Offers services for information extraction and
indexing for born-digital documents.

42. Tractable Open Repositories
• CORE
• OpenAIRE
• arXiv
• HAL

43. The Right to Read is the Right to Mine**PeterMurray-Rust, 2011
http://contentmine.org