Extract of the activity report of the Wimmics joint research team between Inria Sophia Antipolis - Méditerranée and I3S (CNRS and Université Nice Sophia Antipolis). Wimmics stands for web-instrumented man-machine interactions, communities and semantics. The team focuses on bridging social semantics and formal semantics on the web.

1. WIMMICSWeb-instrumented man-machine interactions, communities and semantics
   
Fabien GANDON
http://fabien.info

2. SOPHIA TEAM
 Inria
 CNRS
 University of Nice
Inria Lille - Nord Europe (2008)
Inria Saclay – Ile-de-France
(2008)
Inria Nancy – Grand Est
(1986)
Inria Grenoble – Rhône-
Alpes (1992)
Inria Sophia Antipolis Méditerranée (1983)
Inria Bordeaux
Sud-Ouest (2008)
Inria Rennes
Bretagne
Atlantique
(1980)
Inria Paris-Rocquencourt
(1967)
Montpellier
Lyon
Nantes
Strasbourg
Center
Branch
Pau
I3S

3. CHALLENGE
to bridge social semantics and
formal semantics on the Web

4. MULTI-DISCIPLINARY TEAM
 50 members (2015)
 14 nationalities
 1 DR, 3 Professors
 3CR, 4 Assistant professors
 1 SRP
DR/Professors:
 Fabien GANDON, Inria, AI, KR, Semantic Web, Social Web
 Nhan LE THANH, UNS, Logics, KR, Emotions
 Peter SANDER, UNS, Web, Emotions
 Andrea TETTAMANZI, UNS, AI, Logics, Agents,
CR/Assistant Professors:
 Michel BUFFA, UNS, Web, Social Media
 Elena CABRIO, UNS, NLP, KR, Linguistics
 Olivier CORBY, Inria, KR, AI, Sem. Web, Programming, Graphs
 Catherine FARON-ZUCKER, UNS, KR, AI, Semantic Web, Graphs
 Alain GIBOIN, Inria, Interaction Design, KE, User & Task models
 Isabelle MIRBEL, UNS, Requirements, Communities
 Serena VILLATA, CNRS, AI, Argumentation, Licenses, Rights
Inria Starting Position: Alexandre MONNIN, Philosophy, Web

5. RESEARCH CHALLENGES
1. user & interaction design
2. communities & social networks
3. linked data & semantic Web
4. reasoning & analyzing

6. RESEARCH CHALLENGES
1. user & interaction design
2. communities & social networks
3. linked data & semantic Web
4. reasoning & analyzing
How do we improve our interactions with a
semantic and social Web ?
• capture and model the users' characteristics?
• represent and reason with the users’ profiles?
• adapt the system behaviors as a result?
• design new interaction means?
• evaluate the quality of the interaction designed?


7. RESEARCH CHALLENGES
1. user & interaction design
2. communities & social networks
3. linked data & semantic Web
4. reasoning & analyzing
How can we manage the collective activity on social
media?
• analyze the social interaction practices and the
structures in which these practices take place?
• capture the social interactions and structures?
• formalize the models of these social constructs?
• analyze & reason on these models of social activity?


8. RESEARCH CHALLENGES
1. user & interaction design
2. communities & social networks
3. linked data & semantic Web
4. reasoning & analyzing
What are the needed schemas and extensions of
the semantic Web formalisms for our models?
• formalisms best suited for the models of the
challenges 1 & 2 ?
• limitations and extensions of existing formalisms?
• missing schemas, ontologies, vocabularies?
• links and combinations of existing formalisms?


9. RESEARCH CHALLENGES
1. user & interaction design
2. communities & social networks
3. linked data & semantic Web
4. reasoning & analyzing
What are the algorithms required to analyze and
reason on the heterogeneous graphs we obtained?
• analyze graphs of different types and their
interactions?
• support different graph life-cycles, calculations and
characteristics?
• assist different tasks of our users?
• design the Web architecture to deploy this?


10. METHODS AND TOOLS
1. user & interaction design
2. communities & social networks
3. linked data & semantic Web
4. reasoning & analyzing





G2 H2

G1 H1
<
Gn Hn

11. METHODS AND TOOLS
1. user & interaction design
2. communities & social networks
3. linked data & semantic Web
4. reasoning & analyzing
 • user models, personas, emotion capture
• mockups, evaluation campaigns
• KB interaction (context, Q&A, exploration, …)




G2 H2

G1 H1
<
Gn Hn

12. METHODS AND TOOLS
1. user & interaction design
2. communities & social networks
3. linked data & semantic Web
4. reasoning & analyzing


• user models, personas, emotion capture
• mockups, evaluation campaigns
• KB interaction (context, Q&A, exploration, …)
• collective personas, coordinative artifacts
• community detection, labelling
• argumentation theory, sentiment analysis



G2 H2

G1 H1
<
Gn Hn

13. METHODS AND TOOLS
1. user & interaction design
2. communities & social networks
3. linked data & semantic Web
4. reasoning & analyzing



• user models, personas, emotion capture
• mockups, evaluation campaigns
• KB interaction (context, Q&A, exploration, …)
• collective personas, coordinative artifacts
• community detection, labelling
• argumentation theory, sentiment analysis
• ontology-based knowledge representation
• formalisms: typed graphs, uncertainty
• knowledge extraction, data translation


G2 H2

G1 H1
<
Gn Hn

14. METHODS AND TOOLS
1. user & interaction design
2. communities & social networks
3. linked data & semantic Web
4. reasoning & analyzing




• user models, personas, emotion capture
• mockups, evaluation campaigns
• KB interaction (context, Q&A, exploration, …)
• collective personas, coordinative artifacts
• community detection, labelling
• argumentation theory, sentiment analysis
• ontology-based knowledge representation
• formalisms: typed graphs, uncertainty
• knowledge extraction, data translation
• graph querying, reasoning, transforming
• induction, propagation, approximation
• explanation, tracing, control, licensing, trust

15. RESULTS 2013-2015
1. user & interaction design
2. communities & social networks
3. linked data & semantic Web
4. reasoning & analyzing




• e.g. DiscoveryHub, PRISSMA, QAKiS
[IJCAI, WI, Semantics, ESWC, Hypertext, IJSWIS, …]
• e.g. OCKTOPUS, WikiNEXT, SEEMPAD
[AI, CHI, ECAI, WI, COMMA, ASONAM, IAT, SAC, …]
• e.g. L4LOD, S4AC, Ratio4TA, Dbpedia.fr
[ECAI, IJCAI, LREC, AAMAS, RuleML, WebIST, …]
• e.g. CORESE, Licentia, DiscoveryHub, PRISSMA
[ISWC, EKAW, KCAP, WI, ESWC, Hypertext, ICAIL, …]

16. SEARCHING
 exploratory search
 question-answering

17. SEARCHING
 exploratory search
 question-answering
DBPEDIA.FR (extraction, end-point)
180 000 000 triples
models
Web architecture

18. SEARCHING
 exploratory search
 question-answering
DBPEDIA.FR (extraction, end-point)
180 000 000 triples
DISCOVERYHUB.CO
semantic spreading
activation
new evaluation protocol

19. SEARCHING
 exploratory search
 question-answering
DBPEDIA.FR (extraction, end-point)
180 000 000 triples
DISCOVERYHUB.CO
QAKiS.ORG
semantic spreading
activation
new evaluation protocol
[D:Work], played by [R:Person]
[D:Work] stars [R:Person]
[D:Work] film stars [R:Person]
starring(Work, Person)
linguistic relational
pattern extraction
named entity recognition
similarity based SPARQL
generation
select * where {
dbpr:Batman_Begins dbp:starring ?v .
OPTIONAL {?v rdfs:label ?l
filter(lang(?l)="en")} }

20. MODELING USERS
 individual context
 social structures

21. MODELING USERS
 individual context
 social structures
PRISSMA
prissma:Context
0 48.86034
-2.337599
200
geo:lat
geo:lon
prissma:radius
1
:museumGeo
prissma:Environment
2
{ 3, 1, 2, { pr i ssma: poi } }
{ 4, 0, 3, { pr i ssma: envi r onment } }
:atTheMuseum
error tolerant graph
edit distance
context
ontology

22. MODELING USERS
 individual context
 social structures
PRISSMA
prissma:Context
0 48.86034
-2.337599
200
geo:lat
geo:lon
prissma:radius
1
:museumGeo
prissma:Environment
2
{ 3, 1, 2, { pr i ssma: poi } }
{ 4, 0, 3, { pr i ssma: envi r onment } }
:atTheMuseum
error tolerant graph
edit distance
context
ontology
OCKTOPUS
tag, topic, user
distribution
tag and folksonomy
restructuring with
prefix trees

23. MODELING USERS
 individual context
 social structures
PRISSMA
prissma:Context
0 48.86034
-2.337599
200
geo:lat
geo:lon
prissma:radius
1
:museumGeo
prissma:Environment
2
{ 3, 1, 2, { pr i ssma: poi } }
{ 4, 0, 3, { pr i ssma: envi r onment } }
:atTheMuseum
error tolerant graph
edit distance
context
ontology
OCKTOPUS
tag, topic, user
distribution
tag and folksonomy
restructuring with
prefix trees
EMOCA&SEEMPAD
emotion detection & annotation

24. QUERY & INFER
 graph rules and queries
 deontic reasoning
 induction

25. QUERY & INFER
 graph rules and queries
 deontic reasoning
 induction
CORESE
 &
G2 H2
 &
G1 H1
<
Gn Hn
abstract graph machine
STTL

26. QUERY & INFER
 graph rules and queries
 deontic reasoning
 induction
CORESE
 &
G2 H2
 &
G1 H1
<
Gn Hn
RATIO4TA
predict &
explain
abstract graph machine
STTL

27. QUERY & INFER
 graph rules and queries
 deontic reasoning
 induction
CORESE
INDUCTION
 &
G2 H2
 &
G1 H1
<
Gn Hn
RATIO4TA
predict &
explain
find missing
knowledge
abstract graph machine
STTL

28. QUERY & INFER
 graph rules and queries
 deontic reasoning
 induction
CORESE
LICENTIA INDUCTION
 &
G2 H2
 &
G1 H1
<
Gn Hn
RATIO4TA
predict &
explain
find missing
knowledge
license compatibility
and composition
abstract graph machine
STTL

29. ACHIEVEMENTS
• publications
• awards
• visibility
• 9 Ph.D. theses defended
• multidisciplinary publication
• best paper awards: ESWC 2013 ; EEE/WIC/ACM IAT
2014 ; IEEE Cognitive Infocommunications ; IEEE
BDAS 2014 ; IC2015
• PC of major journals and conferences
• General Chair ESWC 2015, PC chair ESWC 2014, ...

30. COLLABORATIONS
• collaborative projects (7)
• industrial contracts (6)
• scholarships (8)
+ MIREL

31. DIFFUSION / TRANSFER
• education, training
• industrial transfer
• two MOOCS (HTML5 EN 100K, Semantic Web FR 4K)
• important teaching activity
• W3C participation (AC Rep, several WG)
• 2 Carnot projects with SMEs
• first ANR LabCom on digital sciences
joint Lab Wimmics-Viseo
• spin-off to industrialize research results
one of the first software cooperatives

32. FUTURE
• Linked Data & Web diversity
• Artificial Web intelligence
• Human-Data Web Interactions
• Web-augmented interactions
• coupling AI and distributed AI with the Web
• knowledge representation & extraction on the Web
• incremental & linked formalizations
• argumentation mining & theory
• textual entailment & LOD-based NLP
• participatory design and evaluation
• natural language question-answering and dialogue
• visual analytics for linked data
• architecture & philosophy of the Web

33. WIMMICSbridging social semantics and formal semantics on the Web.
epistemic communitieslinked data
usages and introspection
contributions and traces