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NanoTweets.com
Alexander Garcia, PhD

Similarly to the general Web, specialized information will
demand specialized sharing and discovery tools in support
of social aspects for targeted communities.
Why?
•
•
•
•

Micro content analytics
Promoting specifics
Supporting conversations
Making efficient use of Social Networks, not just
Twitter
• Social Engagement
• Influencers, topics and persons
• Adding value to content and social participation
A simple example
• Users annotate with no limitations;
underneath, the tool does semantic
annotation, generates an URI per annotation,
the annotated text is trimmed and shared
over social networks. The entire annotation,
the corresponding social activity it generates,
the metadata for the publication, provenance,
etc. is RDFised and shared over a triplet store.
A new ALM
• Facebook, Tweeter,
Google+, Blogs, etc.
are about a URI as a
whole
• What is interesting in
the paper?
• What are the hot
topics within the
paper?
• Mostly available over
web based aggregators

• Nanotweets are
about specifics in the
document
• NanoTweets are
granular semantic
facts about specifics
within the paper
• The conversation is
the aggregator
ALMs in the News
• ALMs have been in
the news for quite
a long time
ALM as a simple aggregator issue
ALM as a simple aggregator issue
ALM as a simple aggregator issue
NanoTweets complementing ALMs
• Nanopublications + tweeter within scholarly
communication
• Specifics in the paper
• Topic analysis
In Action
A Meta-Analytic
Review of
Prospective
Memory and
Aging

Supporting multiple
formats and devices

http://psycnet.apa.org/jour
nals/pag/19/1/27.html

Moreover, the present results provide
clear evidence that at least some PM
tasks do not place such heavy
demands on effortful or executive
processes as has been presumed and
are thus not subject to
disproportionate age-related decline.
EBPM tasks that imposed lowstrategic demands according to
McDaniel and Einstein’s (2000)
multiprocess framework were
associated with significantly smaller
age effects than EBPM tasks that
imposed relatively highstrategic
demands.

Entity Recognition

=140 Chars

#nanotweets # elderly
population erroneous
to regard all tests of PM
and particularly EBPM
as tests that draw
heavily on self-initiated
retrieval
Everything

>140 Chars
NLP and Semantic Processing

goes to
our
triplet
store, available via
API, knowledge is
enhanced
and
characterized.
Social activity is
followed

#nanotweets # Memory
and Aging some PM
tasks dont place heavy
demands on effortful or
executive processes
In Action
http://www.biomedcentral.com/1471-2407/13/400

PDF, ePUB, Mobile

It has recently been reported that patients who were administered
hyperthermic IP chemotherapy (DOX in combination with cisplatin )
following surgical debulking of peritoneal MMs had an increased 5
year survival rate of 29-63% .

We know key knowledge, NanoTweets NLP
In action
It has recently been reported that patients who were administered
hyperthermic IP chemotherapy (DOX in combination with cisplatin)
following surgical debulking of peritoneal MMs had an increased 5
year survival rate of 29-63% .
NanoTweets

>140 chrs

=140 chrs
User Generated NanoTweet

NLP and Semantic Processing
#nanotweets #cancer increased
5 year survival rate of 29-63%
administering hyperthermic IP
chemotherapy

Nanotweet
hashtag

User
generated
hashtag

#nanotweets #cancer increased
5 year survival rate of 29-63%
administering hyperthermic IP
chemotherapy
In action
It has recently been reported that patients who were administered hyperthermic IP
chemotherapy (DOX in combination with cisplatin) following surgical debulking of
peritoneal MMs had an increased 5 year survival rate of 29-63% .
NanoTweets
>140 chrs

=140 chrs

User Generated NanoTweet
Nanotweet
hashtag

NLP and Semantic Processing

#nanotweets #cancer increased 5 year
survival rate of 29-63% administering
hyperthermic IP chemotherapy

User
generated
hashtag

#nanotweets #cancer increased 5 year
survival rate of 29-63% administering
hyperthermic IP chemotherapy

We
store
everything,
original
text, provenance, tweet, retweets, etc. We
also get DOI information for the paper at
hand
and
available
metrics;
in
addition, when possible we enhance the
knowledge for the selected text based on
semantic
resources
like
Nanotweet model
Nanotweet

Tweet elements

Provenance

rdf:type

hashtag

Tiny URL

prov:wasAttributedTo

hasHashtag

owl:sameAs

Nanotweet

RDFizator agent

dcterms:creator
dcterms:created
prov:generatedAtTime

Selected text

prov:wasGeneratedBy

Date & time

Tweeter account

cnt:chars

Plain text

hasAnnotation

Links to publication

dcterms:references

Publisher URL
DOI

Nanotweet RDF
dataset

void:inDataset

One annotation for each
entity recognized in the
selected text

pav:createdOn

ao:annotatesResource

Topics

pav:createdBy

Annotation

Ontological
term

pav:authoredBy

Annotator Agent

ao:hasTopic

Occurrences in selected text

rdf:type
Term in text

biotea:occurrences

ao:body
aot:ExactQualifier

Nanotweet data

Web link

External data

number
So…
• Allows us to discover hot trends based on micro
content
• Retarget, we know true interests from the
community
• Continuous generation of nanopublications
• Solves nanopublication entry curve
• Allows us to make a different use of social
networks
• Consistent User Experience
• Traceable across formats –PDF, ePUB, HTML
Thanks
• Wanna NanoTweet?

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Nanotweets

  • 1. NanoTweets.com Alexander Garcia, PhD Similarly to the general Web, specialized information will demand specialized sharing and discovery tools in support of social aspects for targeted communities.
  • 2. Why? • • • • Micro content analytics Promoting specifics Supporting conversations Making efficient use of Social Networks, not just Twitter • Social Engagement • Influencers, topics and persons • Adding value to content and social participation
  • 3. A simple example • Users annotate with no limitations; underneath, the tool does semantic annotation, generates an URI per annotation, the annotated text is trimmed and shared over social networks. The entire annotation, the corresponding social activity it generates, the metadata for the publication, provenance, etc. is RDFised and shared over a triplet store.
  • 4. A new ALM • Facebook, Tweeter, Google+, Blogs, etc. are about a URI as a whole • What is interesting in the paper? • What are the hot topics within the paper? • Mostly available over web based aggregators • Nanotweets are about specifics in the document • NanoTweets are granular semantic facts about specifics within the paper • The conversation is the aggregator
  • 5. ALMs in the News • ALMs have been in the news for quite a long time
  • 6. ALM as a simple aggregator issue
  • 7. ALM as a simple aggregator issue
  • 8. ALM as a simple aggregator issue
  • 9. NanoTweets complementing ALMs • Nanopublications + tweeter within scholarly communication • Specifics in the paper • Topic analysis
  • 10. In Action A Meta-Analytic Review of Prospective Memory and Aging Supporting multiple formats and devices http://psycnet.apa.org/jour nals/pag/19/1/27.html Moreover, the present results provide clear evidence that at least some PM tasks do not place such heavy demands on effortful or executive processes as has been presumed and are thus not subject to disproportionate age-related decline. EBPM tasks that imposed lowstrategic demands according to McDaniel and Einstein’s (2000) multiprocess framework were associated with significantly smaller age effects than EBPM tasks that imposed relatively highstrategic demands. Entity Recognition =140 Chars #nanotweets # elderly population erroneous to regard all tests of PM and particularly EBPM as tests that draw heavily on self-initiated retrieval Everything >140 Chars NLP and Semantic Processing goes to our triplet store, available via API, knowledge is enhanced and characterized. Social activity is followed #nanotweets # Memory and Aging some PM tasks dont place heavy demands on effortful or executive processes
  • 11. In Action http://www.biomedcentral.com/1471-2407/13/400 PDF, ePUB, Mobile It has recently been reported that patients who were administered hyperthermic IP chemotherapy (DOX in combination with cisplatin ) following surgical debulking of peritoneal MMs had an increased 5 year survival rate of 29-63% . We know key knowledge, NanoTweets NLP
  • 12. In action It has recently been reported that patients who were administered hyperthermic IP chemotherapy (DOX in combination with cisplatin) following surgical debulking of peritoneal MMs had an increased 5 year survival rate of 29-63% . NanoTweets >140 chrs =140 chrs User Generated NanoTweet NLP and Semantic Processing #nanotweets #cancer increased 5 year survival rate of 29-63% administering hyperthermic IP chemotherapy Nanotweet hashtag User generated hashtag #nanotweets #cancer increased 5 year survival rate of 29-63% administering hyperthermic IP chemotherapy
  • 13. In action It has recently been reported that patients who were administered hyperthermic IP chemotherapy (DOX in combination with cisplatin) following surgical debulking of peritoneal MMs had an increased 5 year survival rate of 29-63% . NanoTweets >140 chrs =140 chrs User Generated NanoTweet Nanotweet hashtag NLP and Semantic Processing #nanotweets #cancer increased 5 year survival rate of 29-63% administering hyperthermic IP chemotherapy User generated hashtag #nanotweets #cancer increased 5 year survival rate of 29-63% administering hyperthermic IP chemotherapy We store everything, original text, provenance, tweet, retweets, etc. We also get DOI information for the paper at hand and available metrics; in addition, when possible we enhance the knowledge for the selected text based on semantic resources like
  • 14. Nanotweet model Nanotweet Tweet elements Provenance rdf:type hashtag Tiny URL prov:wasAttributedTo hasHashtag owl:sameAs Nanotweet RDFizator agent dcterms:creator dcterms:created prov:generatedAtTime Selected text prov:wasGeneratedBy Date & time Tweeter account cnt:chars Plain text hasAnnotation Links to publication dcterms:references Publisher URL DOI Nanotweet RDF dataset void:inDataset One annotation for each entity recognized in the selected text pav:createdOn ao:annotatesResource Topics pav:createdBy Annotation Ontological term pav:authoredBy Annotator Agent ao:hasTopic Occurrences in selected text rdf:type Term in text biotea:occurrences ao:body aot:ExactQualifier Nanotweet data Web link External data number
  • 15.
  • 16.
  • 17. So… • Allows us to discover hot trends based on micro content • Retarget, we know true interests from the community • Continuous generation of nanopublications • Solves nanopublication entry curve • Allows us to make a different use of social networks • Consistent User Experience • Traceable across formats –PDF, ePUB, HTML