2. The meaning …
1. Humanizing technologies
- technologies that humanize (their users)
2. Humanizing technologies
- technologies that are human (close to the human)
3. Humanizing technologies
- technologies that enable human to better use ICT
human-centric technology
3. How technology works …
The phrase “humanizing emerging technologies” is about
reducing the amount of mystery around how a technology works
and about helping people retain a sense of control over their
changing environments.
http://radar.oreilly.com/2014/04/humanizing-emerging-technologies.html
4. Big Data, Linked Data and The Clouds
Volume Variety
Velocity
- Structured
- Unstructured
- Semi-structured
- All of the above
- Terabytes
- Records
- Transactions
- Tables, files
- Batch
- Near time
- Real time
- Stream
5. Natural Interfaces
• Gesture control
https://www.youtube.com/watch?v=91aDt0UHcUo
• Wearables
• Google Glass
• Samsung watch
• Voice biometrics • Voice control
• Dialogue
https://www.youtube.com/watch?v=MpjpVAB06O4
6. Nuance Voice Biometrics
IVR Authentication Use Case
“At VB Bank, my voice is
my password”
Carol Foster
ID VERIFIED a
Slide credit: Nuance Communications
7. Virtual Personal Assistant
2010 Denise
- https://www.youtube.com/watch?v=7W52TL9Akv4
2012 Denise
- https://www.youtube.com/watch?v=LQkpobxbHTY
2014 Google Now vs. Siri vs. Cortana
- http://www.cnet.com/how-to/google-now-vs-siri-virtual-assistants-duke-it-out-video/
- http://www.cnet.com/news/cortana-vs-siri-vs-google-now/
Use for search: Google Search, Wolfram Alpha, Bing
Siri uses Nuance for speech recognition
empathy
In the future insight
trust
reliance
actionable knowledge
8. Better Human Understanding,
not Big data
is the Future of Business.
That is where Mozaika is going
Mozaika is an SME and a Research Center
- semantic data mining, natural language processing, human-computer interaction, data science
- information infrastructures serving variety of applications such as enhancing creativity
- cultural heritage cataloguing, smart cities
- consulting in project development
- etc.
14. Natural Language and the Semantic Web
DBpedia URI
@Davidcamposh has visto el de Una verdad incomoda de
<Al Gore>...es muy bueno tambi
Davidcamposh’ve seen An Inconvenient Truth of <Al Gore> ... is very good also
positive sentiment
topic: Al Gore
Person
DBpedia URI
Politician
United States
hasProfession
bornIn
15. EN FR DE
Who painted Mona Lisa? Qui a paint Mona Lisa? Wer hat Mona Lisa gemahlt?
Who is Mona Lisa’s painter? Qui est le paintre de Mona Lisa? Wer ist der Mahler von Mona
Lisa ?
Who created Mona Lisa? Qui a créé Mona Lisa? Wer hat Mona Lisa geschöpft?
Different language Different syntax Different lexicon
Same semantics
RDF
:Painter :Painting
:painted
Mona Lisa?
rdf:type
rdf:type
Leonardo Mona Lisa
RDF Repository
SPARQL
Missing Piece
A Multilingual SPARQL-Based Retrieval Interface for Cultural Heritage Objects
Reason-able View
Linked Open Data
from the
Cultural Heritage domain
Gothenburg City Museum
Europeana, DBPedia,
CIDOC-CRM
SPARQL End-point
Coverage:
1159 query patterns in 15 languages: Bulgarian, Finish, Norwegian, Catalan, French, Romania, Danish,
Hebrew, Russian, Dutch, Italian, Spanish, English, German, Swedish
10 characteristics of cultural heritage objects: creation date, time period, material, title, dimension,
current location (museum and city), color, author, type
Evaluation
Random queries in 7 languages with very few native informants corrections
Extendibility
Writing a new query grammar requires 150 lines of code
17. Multilingual Single Digital Market
• Break the language blocking
– Single languages address no more than 20% of the Digital Single
Market
• Enable seamless use of all official languages of the EU
– Ensure open access to over 50% of the world’s online
population and 73% of the world online market
– Approximately 60% of individuals in non-Anglophone countries
seldom or never make online purchases from English-language
sites
• Language technology made in Europe
– will transform Europe into a world-wide leader in technology
innovation
– Will secure Europe’s future as a world-wide trader and
exporter of goods, services and information
6/4/2015 EuroDIG 2015
META and LT-Innovate
Multilingual Europe: The Crowning Touch to the Digital Single Market
22. Human Resources Management
• Semantic representation of
skills, competences, geographical information
industries relatedness, organizational and personal
information
• Semantic matching
with ProfiCV
From module of the ProfiCV system towards DaaS
23. CITYSUMMARIES
with Digital Spaces Living Lab
Real time multi-modal summarization of city experiences and information
- trip planning
- while visiting
- trip memories catcher
mobile and web-based
Smart Cities
application
24. Information Management for Cosmic Studies
Small Communication Satellite Mission
Space Technology and Research Insitute at the Bulgarian Academy of Sciences
Sofia State University University “Kliment of Ohrid”
RaySat Ltd. (satellite networks ompany)
• Support and enhancement of science research and human activities in Antarctica
• Hi-speed two-way backhaul data transfer for scientific, safety and other applications
• Off-line two-way operational communication services for professional personal or rescue
purposes
• Continental surface measurements of biological and natural phenomena
• Weather monitoring and forecasting
Communications project, aiming to mobilize scientific and industrial effort to build a purely
Bulgarian product with international impact.
10-60 Mbps data-transfer bit rate
1500-600-km orbit altitude
remote sensing of Earth exploration
with
25. Geo Linked Data
Interactive map of the Bulgarian Dialects
with IBL - BAS
http://ibl.bas.bg//bulgarian_dialects/
26. DM2E – Digital Manuscripts to Europeana
Codex Suppraliensis
metadata in
DM2E format
http://csup.ilit.bas.bg/node/1
with ILI – BAS and DM2E project
http://dm2e.eu/
28. Publishing
• Linked Open Data publishing
• E-Publishing, E-books
• Intelligent reading and writing assistants
• Scientific literature publishing
with Springer Verlag
with Sofia University
and others
29. Text and Image
- Association based natural language processing
- Sentiment expression
- Lexical semantics
- Visual lexicon
Capturing human and personal characteristics
based on the tags chosen for an image
30. So, it will be …
These are the Humanizing Technologies
Image Credit: Robin Bertolletti
31. Thank you for your attention
Contact:
mariana.damova@mozajka.co