REMINDER CFP:ISSA: INTELLIGENT SYSTEMS, SERVICES AND APPLICATIONS 16th IEEE SITIS 2022 conference
Mattia Occhipinti <[email protected]> Sun, 19 Jun 2022 18:29:23 +0200
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**ISSA 2022 **
[Apologies if you receive multiple copies of this CFP]
#######################################################################
## ISSA: INTELLIGENT SYSTEMS, SERVICES AND APPLICATIONS #### track of the
16th IEEE SITIS 2022 conference #### October 19 to 21, 2022 in Dijon,
France.
#### https://www.sitis-conference.org/2022/contribute/tracks/issa/
#######################################################################
The ISSA (Intelligent Systems, Services and Applications) track of the 16th
international conference SITIS will focus on emerging concepts,
architectures, protocols, and methodologies for information management on
modern distributed systems such as Cloud, Edge, Fog, and IoT. Nowadays,
unlimited number of smart objects are connected with the scope of making our
environment more interactive. Information can be exchanged easily, tasks can
be processed collaboratively, devices and objects can be efficiently
connected, communities of users with similar interests can be formed to
achieve their goals proficiently and improve performance. New issues and
challenges are emerging in this pervasive and collaborative world ranging
from the need for high-accurate decision systems able to adapt to changing
environments to the need of protecting the safety, security and privacy of
the users, which are increasingly seen as yet another component of these
systems. To address the above issues and challenges, modern systems and
applications are increasingly based on ML/AI models made available thanks to
the huge amount of data and the increased networking performance (e.g., 5G
low latency). In this context, the data produced by the environment defined
a paradigm named "Big Data". In recent years, "Big Data" has become a new
ubiquitous term. Big Data is transforming science, engineering, medicine,
healthcare, finance, business, and ultimately our society itself.
Novel architectures and solutions are being proposed promoting this incoming
Intelligent Web era, ranging over enhanced machine-to-machine
communications, resource sharing and processing of linked data and devices,
distributed computing and cooperative systems, mobile information systems
and services, semantic-based applications and intelligent data processing,
advanced distributed learning and AI model ensemble strategies to state a
few examples. On top of this, novel data security and privacy protocols, as
well as assurance and certification approaches, need to be designed and
implemented to guarantee a given level of trustworthiness and reliability on
modern systems and applications.
ISSA track aims to provide an international forum for researchers,
professionals, and industrial practitioners to share their experiences and
knowledge in this growing and highly important area of internet and Web
technologies.
The topics of interest of the track include, but are not limited to:
### Data semantics and Web-Centric Systems
- Ontologies and Conceptual Data Modeling
- Knowledge Representation and Reasoning
- Semantic Data Integration and Ontology Engineering
- Social Media and Social Semantics
- Folksonomies and Emergent Semantics
- Web/Data Mining and Machine Learning
- Recommender Systems and Crowd-sourcing
- Semantic Data Indexing, Search, and Retrieval
- Multimedia Data Modeling and Visualization
- Semantics in Data Access, Visualization, and User Interfaces
- Semantic Technologies for Mobile Platforms
### Big Data Management and Analytics
- Theoretical Models for Big Data
- Computational Models for Big Data
- Data and Information Quality for Big Data
- Big Data Models, Representation Formats, and Algorithms
- Big Data Semantics and Knowledge Organization
- Big Data Architectures and Storage
- Descriptive, Predictive, and Predictive analytics on Big Data
- Machine Learning Algorithms for Big Data
- Big Data Integration Architectures and Techniques
- Graph Modeling, Storage, and Analytics
### Service-based Computing
- Data and Knowledge as a Services
- Web Services, Mobile services, and Service Computing
- Software Architecture and Middleware
- Semantic and Intelligent Services
- Service Discovery, Selection, and Recommendation
- Service Composition and Service-based data Integration
- Business Process as a Service (BPaaS)
- Health Informatics as a Service (HIaaS)
- Financial Software as a Service (FSaaS)
- Education as a Service (EaaS)
###Intelligent Services and Applications
- Future Networks for Cloud Edge Fog and IoT
- Artificial Intelligence in Edge/IoT computing
- Distributed Ontologies and Contextual Reasoning
- Semantic Interoperability and Semantic Mediators
- Collective Knowledge and Collective Intelligence
- Data Analysis and Visualization for health and Smart Cities
- Smart Homes and Independent Living
- Intelligent Service Discovery, selection, and composition
- Service-based data Integration
- Business Process as a Service (BPaaS)
- Health Informatics as a Service (HIaaS)
- Ecosystem services and management
### Information Security and Privacy
- Security Modeling and Access Control Protocol
- Web Security and Trust Management
- Fundamental Security Services on Network and Distributed Systems
- Security and Privacy for Emerging Technologies
- Big Data Security Protection, Confidentiality, Integrity, and Privacy
- Next generation 5G/6G Network Security
- Dependable and Reliable services
- Assurance/testing and monitoring of security properties
- Trustworthy/Certified AI/ML
- Trustworthy AI/ML
- Certified AI/ML
## Track Chairs
Paolo Ceravolo, University of Milan, Italy
Ana Roxin, University of Bourgogne, France
Robert Wrembel, Poznan University of Technology, Poland
## Important dates
- Paper submission deadline July 15, 2022
- Acceptance/Reject notification September 9, 2022
- Camera-ready September 16, 2022
- Author Registration September 16, 2022
## Submissions
Papers must be up to 8 pages and follow the IEEE double-column format.
Submissions will be peer-reviewed by at least 3 peer reviewers. Papers will
be evaluated based on relevance, significance, impact, originality,
technical soundness, and quality of presentation. At least one author should
attend the conference to present an accepted paper.
All papers accepted for presentation at the main tracks and workshops will
be included in the conference proceedings, which will be published by IEEE
Computer Society. Only the actually presented papers will be referenced in
IEEE Xplore Digital Library, Scopus, DBLP and major indexes.
Paper submission and reviewing will be done online via EasyChair:
https://www.easychair.org/conferences/?conf=sitis2022
Additional details regarding paper submission can be found at:
https://www.sitis-conference.org/2022/contribute/paper-submission/
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</o:shapelayout></xml><![endif]--></head><body lang=3DIT link=3D"#0563C1" v=
link=3D"#954F72"><div class=3DWordSection1><p class=3DMsoPlainText>**ISSA 2=
022 **<o:p></o:p></p><p class=3DMsoPlainText><o:p> </o:p></p><p class=
=3DMsoPlainText>[Apologies if you receive multiple copies of this CFP]<o:p>=
</o:p></p><p class=3DMsoPlainText><o:p> </o:p></p><p class=3DMsoPlainT=
ext>#######################################################################=
<o:p></o:p></p><p class=3DMsoPlainText>## ISSA: INTELLIGENT SYSTEMS, SERVIC=
ES AND APPLICATIONS #### track of the 16th IEEE SITIS 2022 conference #### =
October 19 to 21, 2022 in Dijon, France.<o:p></o:p></p><p class=3DMsoPlainT=
ext>#### <a href=3D"https://www.sitis-conference.org/2022/contribute/tracks=
/issa/">https://www.sitis-conference.org/2022/contribute/tracks/issa/</a><o=
:p></o:p></p><p class=3DMsoPlainText>######################################=
#################################<o:p></o:p></p><p class=3DMsoPlainText><o:=
p> </o:p></p><p class=3DMsoPlainText>The ISSA (Intelligent Systems, Se=
rvices and Applications) track of the 16th international conference SITIS w=
ill focus on emerging concepts, architectures, protocols, and methodologies=
for information management on modern distributed systems such as Cloud, Ed=
ge, Fog, and IoT. Nowadays, unlimited number of smart objects are connected=
with the scope of making our environment more interactive. Information can=
be exchanged easily, tasks can be processed collaboratively, devices and o=
bjects can be efficiently connected, communities of users with similar inte=
rests can be formed to achieve their goals proficiently and improve perform=
ance. New issues and challenges are emerging in this pervasive and collabor=
ative world ranging from the need for high-accurate decision systems able t=
o adapt to changing environments to the need of protecting the safety, secu=
rity and privacy of the users, which are increasingly seen as yet another c=
omponent of these systems. To address the above issues and challenges, mode=
rn systems and applications are increasingly based on ML/AI models made ava=
ilable thanks to the huge amount of data and the increased networking perfo=
rmance (e.g., 5G low latency). In this context, the data produced by the en=
vironment defined a paradigm named “Big Data”. In recent years,=
“Big Data” has become a new ubiquitous term. Big Data is trans=
forming science, engineering, medicine, healthcare, finance, business, and =
ultimately our society itself.<o:p></o:p></p><p class=3DMsoPlainText><o:p>&=
nbsp;</o:p></p><p class=3DMsoPlainText>Novel architectures and solutions ar=
e being proposed promoting this incoming Intelligent Web era, ranging over =
enhanced machine-to-machine communications, resource sharing and processing=
of linked data and devices, distributed computing and cooperative systems,=
mobile information systems and services, semantic-based applications and i=
ntelligent data processing, advanced distributed learning and AI model ense=
mble strategies to state a few examples. On top of this, novel data securit=
y and privacy protocols, as well as assurance and certification approaches,=
need to be designed and implemented to guarantee a given level of trustwor=
thiness and reliability on modern systems and applications.<o:p></o:p></p><=
p class=3DMsoPlainText><o:p> </o:p></p><p class=3DMsoPlainText>ISSA tr=
ack aims to provide an international forum for researchers, professionals, =
and industrial practitioners to share their experiences and knowledge in th=
is growing and highly important area of internet and Web technologies.<o:p>=
</o:p></p><p class=3DMsoPlainText><o:p> </o:p></p><p class=3DMsoPlainT=
ext>The topics of interest of the track include, but are not limited to:<o:=
p></o:p></p><p class=3DMsoPlainText><o:p> </o:p></p><p class=3DMsoPlai=
nText>### Data semantics and Web-Centric Systems<o:p></o:p></p><p class=3DM=
soPlainText><o:p> </o:p></p><p class=3DMsoPlainText>- Ontologies and C=
onceptual Data Modeling<o:p></o:p></p><p class=3DMsoPlainText>- Knowledge R=
epresentation and Reasoning<o:p></o:p></p><p class=3DMsoPlainText>- Semanti=
c Data Integration and Ontology Engineering<o:p></o:p></p><p class=3DMsoPla=
inText>- Social Media and Social Semantics<o:p></o:p></p><p class=3DMsoPlai=
nText>- Folksonomies and Emergent Semantics<o:p></o:p></p><p class=3DMsoPla=
inText>- Web/Data Mining and Machine Learning<o:p></o:p></p><p class=3DMsoP=
lainText>- Recommender Systems and Crowd-sourcing<o:p></o:p></p><p class=3D=
MsoPlainText>- Semantic Data Indexing, Search, and Retrieval<o:p></o:p></p>=
<p class=3DMsoPlainText>- Multimedia Data Modeling and Visualization<o:p></=
o:p></p><p class=3DMsoPlainText>- Semantics in Data Access, Visualization, =
and User Interfaces<o:p></o:p></p><p class=3DMsoPlainText>- Semantic Techno=
logies for Mobile Platforms<o:p></o:p></p><p class=3DMsoPlainText><o:p>&nbs=
p;</o:p></p><p class=3DMsoPlainText>### Big Data Management and Analytics<o=
:p></o:p></p><p class=3DMsoPlainText><o:p> </o:p></p><p class=3DMsoPla=
inText>- Theoretical Models for Big Data<o:p></o:p></p><p class=3DMsoPlainT=
ext>- Computational Models for Big Data<o:p></o:p></p><p class=3DMsoPlainTe=
xt>- Data and Information Quality for Big Data<o:p></o:p></p><p class=3DMso=
PlainText>- Big Data Models, Representation Formats, and Algorithms<o:p></o=
:p></p><p class=3DMsoPlainText>- Big Data Semantics and Knowledge Organizat=
ion<o:p></o:p></p><p class=3DMsoPlainText>- Big Data Architectures and Stor=
age<o:p></o:p></p><p class=3DMsoPlainText>- Descriptive, Predictive, and Pr=
edictive analytics on Big Data<o:p></o:p></p><p class=3DMsoPlainText>- Mach=
ine Learning Algorithms for Big Data<o:p></o:p></p><p class=3DMsoPlainText>=
- Big Data Integration Architectures and Techniques<o:p></o:p></p><p class=
=3DMsoPlainText>- Graph Modeling, Storage, and Analytics<o:p></o:p></p><p c=
lass=3DMsoPlainText><o:p> </o:p></p><p class=3DMsoPlainText>### Servic=
e-based Computing<o:p></o:p></p><p class=3DMsoPlainText><o:p> </o:p></=
p><p class=3DMsoPlainText>- Data and Knowledge as a Services<o:p></o:p></p>=
<p class=3DMsoPlainText>- Web Services, Mobile services, and Service Comput=
ing<o:p></o:p></p><p class=3DMsoPlainText>- Software Architecture and Middl=
eware<o:p></o:p></p><p class=3DMsoPlainText>- Semantic and Intelligent Serv=
ices<o:p></o:p></p><p class=3DMsoPlainText>- Service Discovery, Selection, =
and Recommendation<o:p></o:p></p><p class=3DMsoPlainText>- Service Composit=
ion and Service-based data Integration<o:p></o:p></p><p class=3DMsoPlainTex=
t>- Business Process as a Service (BPaaS)<o:p></o:p></p><p class=3DMsoPlain=
Text>- Health Informatics as a Service (HIaaS)<o:p></o:p></p><p class=3DMso=
PlainText>- Financial Software as a Service (FSaaS)<o:p></o:p></p><p class=
=3DMsoPlainText>- Education as a Service (EaaS)<o:p></o:p></p><p class=3DMs=
oPlainText><o:p> </o:p></p><p class=3DMsoPlainText>###Intelligent Serv=
ices and Applications<o:p></o:p></p><p class=3DMsoPlainText><o:p> </o:=
p></p><p class=3DMsoPlainText>- Future Networks for Cloud Edge Fog and IoT<=
o:p></o:p></p><p class=3DMsoPlainText>- Artificial Intelligence in Edge/IoT=
computing<o:p></o:p></p><p class=3DMsoPlainText>- Distributed Ontologies a=
nd Contextual Reasoning<o:p></o:p></p><p class=3DMsoPlainText>- Semantic In=
teroperability and Semantic Mediators<o:p></o:p></p><p class=3DMsoPlainText=
>- Collective Knowledge and Collective Intelligence<o:p></o:p></p><p class=
=3DMsoPlainText>- Data Analysis and Visualization for health and Smart Citi=
es<o:p></o:p></p><p class=3DMsoPlainText>- Smart Homes and Independent Livi=
ng<o:p></o:p></p><p class=3DMsoPlainText>- Intelligent Service Discovery, s=
election, and composition<o:p></o:p></p><p class=3DMsoPlainText>- Service-b=
ased data Integration<o:p></o:p></p><p class=3DMsoPlainText>- Business Proc=
ess as a Service (BPaaS)<o:p></o:p></p><p class=3DMsoPlainText>- Health Inf=
ormatics as a Service (HIaaS)<o:p></o:p></p><p class=3DMsoPlainText>- Ecosy=
stem services and management<o:p></o:p></p><p class=3DMsoPlainText><o:p>&nb=
sp;</o:p></p><p class=3DMsoPlainText>### Information Security and Privacy<o=
:p></o:p></p><p class=3DMsoPlainText><o:p> </o:p></p><p class=3DMsoPla=
inText>- Security Modeling and Access Control Protocol<o:p></o:p></p><p cla=
ss=3DMsoPlainText>- Web Security and Trust Management<o:p></o:p></p><p clas=
s=3DMsoPlainText>- Fundamental Security Services on Network and Distributed=
Systems<o:p></o:p></p><p class=3DMsoPlainText>- Security and Privacy for E=
merging Technologies<o:p></o:p></p><p class=3DMsoPlainText>- Big Data Secur=
ity Protection, Confidentiality, Integrity, and Privacy<o:p></o:p></p><p cl=
ass=3DMsoPlainText>- Next generation 5G/6G Network Security<o:p></o:p></p><=
p class=3DMsoPlainText>- Dependable and Reliable services<o:p></o:p></p><p =
class=3DMsoPlainText>- Assurance/testing and monitoring of security propert=
ies<o:p></o:p></p><p class=3DMsoPlainText>- Trustworthy/Certified AI/ML<o:p=
></o:p></p><p class=3DMsoPlainText>- Trustworthy AI/ML<o:p></o:p></p><p cla=
ss=3DMsoPlainText>- Certified AI/ML<o:p></o:p></p><p class=3DMsoPlainText><=
o:p> </o:p></p><p class=3DMsoPlainText>## Track Chairs<o:p></o:p></p><=
p class=3DMsoPlainText><o:p> </o:p></p><p class=3DMsoPlainText>Paolo C=
eravolo, University of Milan, Italy<o:p></o:p></p><p class=3DMsoPlainText><=
o:p> </o:p></p><p class=3DMsoPlainText>Ana Roxin, University of Bourgo=
gne, France<o:p></o:p></p><p class=3DMsoPlainText><o:p> </o:p></p><p c=
lass=3DMsoPlainText>Robert Wrembel, Poznan University of Technology, Poland=
<o:p></o:p></p><p class=3DMsoPlainText><o:p> </o:p></p><p class=3DMsoP=
lainText>## Important dates<o:p></o:p></p><p class=3DMsoPlainText><o:p>&nbs=
p;</o:p></p><p class=3DMsoPlainText>- Paper submission deadline =
&nb=
sp; July 15, 2022<o:p></o:p></p><p class=3DMsoPlainText>-=
Acceptance/Reject notification &n=
bsp; September 9, 2022<o:p></o:p></p><p class=3DMsoPlainText>- =
Camera-ready &nb=
sp; =
&nb=
sp; September 16, 2022<o:p></o:p></p><p class=3DMso=
PlainText>- Author Registration &n=
bsp;  =
; September 16,=
2022<o:p></o:p></p><p class=3DMsoPlainText><o:p> </o:p></p><p class=
=3DMsoPlainText>## Submissions<o:p></o:p></p><p class=3DMsoPlainText><o:p>&=
nbsp;</o:p></p><p class=3DMsoPlainText>Papers must be up to 8 pages and fol=
low the IEEE double-column format.<o:p></o:p></p><p class=3DMsoPlainText>Su=
bmissions will be peer-reviewed by at least 3 peer reviewers. Papers will b=
e evaluated based on relevance, significance, impact, originality, technica=
l soundness, and quality of presentation. At least one author should attend=
the conference to present an accepted paper.<o:p></o:p></p><p class=3DMsoP=
lainText><o:p> </o:p></p><p class=3DMsoPlainText>All papers accepted f=
or presentation at the main tracks and workshops will be included in the co=
nference proceedings, which will be published by IEEE Computer Society. Onl=
y the actually presented papers will be referenced in IEEE Xplore Digital L=
ibrary, Scopus, DBLP and major indexes.<o:p></o:p></p><p class=3DMsoPlainTe=
xt><o:p> </o:p></p><p class=3DMsoPlainText><o:p> </o:p></p><p cla=
ss=3DMsoPlainText>Paper submission and reviewing will be done online via Ea=
syChair:<o:p></o:p></p><p class=3DMsoPlainText><o:p> </o:p></p><p clas=
s=3DMsoPlainText><a href=3D"https://www.easychair.org/conferences/?conf=3Ds=
itis2022">https://www.easychair.org/conferences/?conf=3Dsitis2022</a><o:p><=
/o:p></p><p class=3DMsoPlainText><o:p> </o:p></p><p class=3DMsoPlainTe=
xt><o:p> </o:p></p><p class=3DMsoPlainText>Additional details regardin=
g paper submission can be found at:<o:p></o:p></p><p class=3DMsoPlainText><=
a href=3D"https://www.sitis-conference.org/2022/contribute/paper-submission=
/">https://www.sitis-conference.org/2022/contribute/paper-submission/</a><o=
:p></o:p></p><p class=3DMsoNormal><o:p> </o:p></p></div><p><br /><img =
src=3D"cid:[email protected]" alt=3D"MailScanner Signature Unimi" /></p>=
=0D
<div> </div>=0D
<div><em>La Statale per il futuro<br />Salute, transizione digitale, sosten=
ibilità<br />Il tuo 5xmille ai nuovi progetti di ricerca dell’=
Università degli Studi di Milano<br />Codice fiscale: 80012650158</e=
m></div>
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