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Bringing Insight to
Data: Info Pros’ Role in
Text and Data Mining
Mary Ellen Bates
10 June 2018

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www.springernature.com/gp/
librarians/landing/textanddata

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Text and data mining in the info pro context
TDM use cases in the info pro world
Info pros’ role in TDM projects
What we’ll cover

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TDM in the info pro context

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Print indexes, catalogs
Bibliographic databases & Boolean search
Full-text databases
Text and data mining of “semantic triples”
(a.k.a. info bits)
Evolution of information

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Structured info forms a semantic triple
Subject — predicate — object
Semantic triple for “the sky is blue” could be
sky — has_the_color — blue
genid:ARP40722 | http://abc.com/color |
hex:#0000FF
TDM = extraction of info bits

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Semantic triples from Wikipedia article:
shingles — is_also_called — herpes_zoster
shingles — is_caused_by — varicella_zoster_virus
varicella_zoster_virus — is_treated_with —
acyclovir
immunosupression — is_risk_factor_for —
shingles
TDM = extraction of info bits

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Semantic triples from a bib cite:
Article_X — has_author — Doe,_John
Article_X — published_in — Heredity
Doe,_John — has_affiliation — Drexel_University
Article_X — funded_by — grant_123
Article_X — has_subject — Alzheimer’s_Disease
TDM = extraction of info bits

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Google Books Ngram Viewer
TDM applied to full text of books
Parses each word and sentence
Shows unexpected trends
books.google.com/ngrams
TDM shows new insights

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*_NOUN nurse
Show me the 10 most common nouns preceding
the word nurse over time

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Linked data enables meaningful connections
across content
Normalized data = enhanced discovery
Full-text content + linked OPEN data + APIs =
WOW!
Linked open data

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Library of Congress Linked Data Service
Datasets of subject headings, names, etc.
Data.gov
Not all govt datasets are LOD
DBpedia.org
Structured data extracted from Wikipedia
Linked open data examples

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Springer Nature SciGraph
View visual patterns in large datasets
See relationships across disciplines, formats
springernature.com/gp/researchers/scigraph
Linked open data examples

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Article: Adherence to a Mediterranean diet and Alzheimer’s disease
risk in an Australian population

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PubChem open chemistry database
Use API to expand search for all names for a
substance
See links from PubChem to SpringerNature
articles
Linked open data examples

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“TDM enables us to do more
complex searches using a large
number of synonyms through
ontologies, when full-text
searches reach their limits.”
–pharma info scientist

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TDM use cases

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Springer Nature Journal Suggester
You provide manuscript title & abstract; it
recommends where to submit MS
journalsuggester.springer.com
TDM use cases

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Help searchers gauge article significance
API that takes article DOI and calculates # of
citations to that article
Build an internal open-access image repository
Monitor open access journals for specific type of
image
TDM use cases

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Enhance discoverability of internal knowledge
Integrate backlinks from internal content to
Dbpedia entries
ID high-quality vs. predatory conferences
Chart # of institutions represented by speakers,
citation & reference metrics of speakers
TDM use cases

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Ensure more comprehensive searches
API that looks up search terms for MeSH
equivalent, appends all terms w/in that concept
“opioid dependence” Opioid-Related
Disorders, Heroin Dependence, Morphine
Dependence
TDM use cases

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Conduct pharmacovigilance
Improved ability to identify adverse events,
pharmacological substances
Monitor competitor patent filings
Cut through patent obfuscation
TDM use cases

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Create dashboard for business intelligence
Monitor key publications
What institutions are publishing research
Who are the most cited researchers at an
institution
What institutions are receiving grants?
TDM use cases

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More info on Springer Nature’s TDM tools at
springernature.com/text-and-data-mining
More info on Springer Nature’s APIs for
scholarly content at dev.springernature.com
Additional info

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Info pros’ role in TDM projects

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Monitors professional journals
Tracks conference presentations & speakers
Analyzes trends in grants and funding sources
Knows who’s working on what internally
Makes connections among all those info-bits
TDM is like a really smart info pro

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We’re info pros
We can think creatively about information
We understand uses of structured data
We know what metadata is needed
We care about quality of taxonomies
We know what resources we have
We understand our clients’ info needs, search
behavior
Info pros’ role in TDM

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We can evaluate quality, coverage of datasets
Develop quality, cost checklist for your clients
Monitor govt agencies, open-data initiatives
Monitor dataDryad.org – repository of research
data
Info pros’ role in TDM

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We conduct strategic reference interviews
Clients only for what they think we can get
We understand the client’s use case
We ask “What’s essential? What’s nice to have?”
We think creatively about finding answers
Info pros’ role in TDM

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Info pros’ role in TDM
We understand copyright issues
Greater discoverability = greater demand for
content
We leverage information for greater ROI
And we know how to promote info resources
internally
Higher ROI for online content subscriptions

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We collaborate with other groups
TDM projects involve teams from collections
development, cataloging/metadata, IT, outreach
We see the bigger picture
We think beyond the tool or resource to
delivering insight
Info pros’ role in TDM

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Request the white paper through
www.springernature.com/gp/librarians/
landing/textanddata
or email Caitlin Cricco at
caitlin.cricco@springernature.com
Want more info?