The 13th
International Workshop on Semantic and Social Media Adaptation and Personalization
(SMAP 2018) will take place in Zaragoza (Spain), on 6th and 7th September 2018.
SMAP 2018 will be organized with the support of the Aragón Engineering Research
Institute (Instituto de Investigación en IngenierÃa de Aragón, I3A) -
University of Zaragoza.
The
Semantic and Social Media Adaptation and Personalization (SMAP) workshop is the
evolution of the Semantic Media Adaptation and Personalization initiative,
which was founded during the summer of 2006 in an effort to discuss the state
of the art, recent advances and future perspectives for semantic media
adaptation and personalization. However, as Social Media applications have
substantially transformed the way organizations, communities, and individuals
interact, we have the scopes of SMAP extended towards this new trend, seeking
to bring together researchers from the social web as well as from the semantic
web communities.
After
twelve successful workshops starting from Athens (2006), and then London
(2007), Prague (2008), San Sebastian (2009), Limassol (2010), Vigo (2011),
Luxembourg (2012), Bayonne (2013), Corfu (2014), Trento (2015), Thessaloniki
(2016), and Bratislava (2017), the SMAP workshop series has been consolidated
as a reference event in order to discuss about the newest advances in the
field.
Important dates
- Paper submission deadline: April 23, 2018
- Notification of acceptance: June 26, 2018
- Camera-ready
submission deadline: July 4, 2018
- Registration for authors: July 10, 2018
- Early registration: July 12, 2018
- Late registration: September 1, 2018
- Workshop: 6-7th September, 2018
Please, avoid registration procedures during the
summer. The University of Zaragoza is expected to be closed from August 1 to
August 14, 2018, and with more limited support for administrative services
since mid-July until the end of August.
Aim and topics
SMAP 2018 aims to address several issues of semantic and social multimedia technologies and their use in content creation, media adaptation and user profiling. Topics of interest include but are not limited to:
- Content
creation, annotation and modeling for semantic and social web
- Computational
intelligence for media adaptation and personalization
- Semantics-driven
indexing and retrieval of multimedia contents
- User modeling and dynamic
profiling
- Ontologies and reasoning
- Multimedia standards
- Semantics-based
recommender systems: theory and applications
- Recommender systems for
mobile users
- Web adaptation methods and
techniques
- Hybrid
social and semantic approaches to profiling, recommendation engines or
adaptation systems
- Social
multimedia applications (livecasting, audio-video sharing)
- Social
multimedia tagging and multimedia content communities
- User-generated content
mechanisms
- Privacy/Security
issues in Social and Personalized Media Applications
- Privacy
preserving data mining and social networks
- Content customization and
adaptation
- Semantic context modeling
and extraction
- Context-aware multimedia
applications
- Adaptive and personalized
multimedia summaries
- Multilingual content
navigation
- Intelligent personalized
interfaces
- Social
and semantic media collaboration platforms (e.g. semantic wikis)
- Social web economics and
business
- Social network aggregation
- Social data analytics
- Social data mining
- Adaptive/Personalized
conversational media
Special Session on
Navigation and Understanding of Big Linked Data
In addition, a Special Session on Navigation and Understanding of Big Linked Data will be held within the context of SMAP 2018. If you are submitting a paper to this special session, please indicate so through EasyChair or notify the organizers.
Overview of the special session
Today, we are assisting at a staggering growth in the production and consumption of Linked Open Data (LOD) and in the generation of increasingly large datasets. In this scenario, it is crucial to provide special tools for researchers, domain experts, but also businessmen and citizens to understand and interact with LOD resources. In this special session, emphasis is drawn on the way data linked datasets might be selected by looking among the diverse open data portals, explored in order to understand their contents and queried to extract meaningful information for the user. Special emphasis is put on facilitating personalized knowledge extraction and in creating effective data visualizations.
Topics for the special session
- Using
Linked Data for personalized services
- Dynamic
profiling of Linked Data sources
- Adaptive
and personalized Linked Data exploration
- Semantic annotation and
information visualization
- Personalization
and adaptation issues for Big, Open and Linked Data
- Linked Data widgets and
dashboards
- Linked
Data and social media applications
- Data
journalism, analytics and visualizations based on Linked Data
- Personalized
search and exploration on the Web of Data
- User
modelling in Linked Data consumption
- Statistical
analysis, statistical learning and data mining for Big Linked Data
- Open
government, transparency, advantages for citizens
- Big and
open Linked Data to create smart cities
- Environmental and
agricultural data
- Health data and intelligent
systems
- Active
and healthy ageing data analytics
Session Organizers
- Laura Po, University of
Modena and Reggio Emilia, Modena, Italy
- Charalampos
Bratsas, Aristotle University, Thessaloniki, Greece
Submission
guidelines
Each submitted paper will be refereed by at least three members of the SMAP 2018 Program Committee, based on its relevance, originality, significance, technical soundness and clarity of expression. Submissions must be in English, and can present mature research or experimental results as well as promising work in progress. Papers must be formatted according to the IEEE 2-column conference article style, with a limit of 6 pages, including all figures, tables and references. A minimum paper length of 4 pages is also imposed.
As with all
previous editions of SMAP, all accepted papers are planned to be published by
IEEE in IEEE Xplore. SMAP 2018 is supported by IEEE Computational Intelligence
Society (technical co-sponsorship).
For your
convenience, you may use the LaTeX or MSWord templates. Papers can be submitted via EasyChair in PDF format.
No comments:
Post a Comment
Note: only a member of this blog may post a comment.