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Some ideas to use dataTXT for H-ACK PAYMENT, a hackathon at H-FARM on mobile payment. Managing unstructured data and content to improve user experience on mobile payment scenario. From more contextual informations, to contextual ads.
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Why dataTXT is useful for mobile payment
food for thoughts
dandelion.eu#dataTXT
Matteo Brunati - community manager @SpazioDati
H-ACK PAYMENT July 12-13 2014
CONTEXT
REUSE
APIs are the new LEGO :)
An apple is better than an orange
An apple is better than an orange
An apple is better than an orange
DATATXT!
? ?
An apple is better than an orange
An apple is better than an orange
DATATXT!
? ?
Apple Inc.Orange ( telco )
An apple is better than an orange
An apple is better than an orange
DATATXT!Apple Inc.
Orange ( telco )X X
An apple is better than an orange
An apple is better than an orange
DATATXT!
A JSON sample from dataTXT REST API
“An apple is better than an orange”
"annotations": [ { "confidence": 0.846, "end": 8, "lod": { "wikipedia": "http://en.wikipedia.org/wiki/Apple", "dbpedia": "http://dbpedia.org/resource/Apple" }, "title": "Apple", "abstract": "The apple is the pomaceous fruit of the...", "spot": "apple", "label": "Apple", "Apples", "Sequenced genomes" ], "id": 18978754, "image": { "full": "https://upload.wikimedia.org/wikipedia/...", "thumbnail": "https://upload.wikimedia.org/wikipedia/..." }, "types": [ "http://dbpedia.org/ontology/E...", "http://dbpedia.org/ontology/P...", "http://dbpedia.org/ontology/S..." ] }, { "confidence": 0.822, "end": 33,
dataTXT &
mobile payment !
?
HIGH-CONTEXT TRANSACTION DATA
MASHUPS / BUSINESS INTELLIGENCE
“PAGAMENTO RYANAIR
5RX0 DUBLIN”
{ "annotations": [ { "confidence": 0.8609, "end": 7, "lod": { "wikipedia": "http://en.wikipedia.org/wiki/Ryanair", "dbpedia": "http://dbpedia.org/resource/Ryanair" }, "title": "Ryanair", "abstract": "Ryanair Ltd. (,) is an Irish low-cost a...", "spot": "Ryanair", "uri": "http://en.wikipedia.org/wiki/Ryanair", "label": "Ryanair", "start": 0,
TEXT -> ACTIONABLE DATA
DATATXT!
“PAGAMENTO RYANAIR
5RX0 DUBLIN”
API
HUMAN READABLE DESCRIPTION?
CLEAN MERCHANT NAME
DATATXT!
LOCATION
RELATED INFO URL
CATEGORY…
Automatic categorization on account statements
0
100
200
300
400
Finance Tecnology Travel Automotive Food —
91
1634
79
395
Brand mapping
0 7,5 15 22,5 30
6
6
12
24
27
29
dashboard on personal data
dashboard on all users data
USER
BANK !!
MOBILE
BUSINESS INTELLIGENCE
MORE CONTEXT FOR A BETTER USER EXPERIENCE
DATATXT!
Shopping experience
enrich UX experience of push notifications from beacons
push notification: another
camera on sale
beacon http://estimote.com/
with more useful / contextual informations
from Wikipedia + a vendor source + other sources
= BETTER EXPERIENCE
Other example scenarios
Financial products education
better UX experience: content enrichment, thanks to Wikipedia URLs and abstracts available directly on dataTXT JSON
simplified information experience: it’s possible to make a Q&A service based on natural language, thanks to dataTXT extracted entities
Other business models
Understand the context, and use the categorization and dataTXT extracted entities to deliver personalized ads
contextual advertising
Using places founded in dataTXT extracted entities, it’s possible to deliver geolocalized ads
geolocalized advertising
