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SMAP 2017 : 12th International Workshop on Semantic and Social Media Adaptation and Personalization


When Jul 9, 2017 - Jul 10, 2017
Where Bratislava, Slovakia
Abstract Registration Due Mar 12, 2017
Submission Deadline Mar 17, 2017
Notification Due Apr 27, 2017
Final Version Due May 18, 2017
Categories    adaptation   personalization   social media   semantic

Call For Papers

12th International Workshop on Semantic and Social Media Adaptation and Personalization
SMAP 2017 -

July 9-10, 2017, Bratislava, Slovakia
Collocated with UMAP 2017
Organized by Foundation for Development of Informatics

*Important dates:
Paper authors, title and short description submission: March 12, 2017
Submission of full papers (EXTENDED): March 17, 2017
Notification of acceptance: April 27, 2017
Submission of camera ready: May 18, 2017
SMAP 2017 Workshop: July 9-10, 2017

*Aim and topics
SMAP 2017 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 modelling for semantic and social web
- Computational intelligence for media adaptation and personalization
- Semantics-driven indexing and retrieval of multimedia contents
- User modelling and dynamic profiling
- Ontologies and reasoning
- Multimedia standards
- Semantics-based recommender systems: theory and applications
- 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 modelling 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

In addition, SMAP 2017 seeks papers for special sessions addressing emerging issues in all above aspects that will complement the regular program. Authors will have the opportunity to present their work in short papers that will appear in the official SMAP 2017 workshop proceedings.

SMAP 2017 has the support of the IEEE Computational Intelligence Society technical co-sponsorship.

*Special session on Personalized delivery of cultural heritage content
Digital cultural heritage is now a mature field, in which information technologies are used in the service of preserving cultural heritage. The digital form of resources allows for the exploitation of advances in data analytics, semantics, information retrieval, user interaction, profiling and personalization in order to develop new, exciting and stimulating exhibitions and cultural/educational/touristic experiences.

For this special session we invite works that present and/or review the current state of the art in theory and practice, as well as promising recent advances, in the area of aligning the delivery process for cultural heritage content to the needs, goals, characteristics and preferences of individual users and user groups. The session is broad in scope, with the caveat that emphasis should be on the link between cultural heritage and personalization techniques.

*Special Session on Multimodal affective analysis for human-machine interfaces and learning environments
Affective analysis is a broad research area that focuses on the recognition, interpretation, processing and simulation of human affect, i.e., feelings or emotions. During the last years many efforts in the fields of content understanding and human-machine interaction have turned towards a more human-centered approach and complement traditional semantic-based ones by enhancing them with the users’ affective state while interacting with machines (typically computers, avatars and robots).

This special session calls for research papers focusing on signal analysis and machine learning techniques that extract affective knowledge from auditory, visual and textual information usually employed in human-machine interaction and learning applications. Papers that focus on new signal representation, feature extraction and emotion modelling approaches are welcomed, as well as papers covering practical work, tools and applications.

As with all previous editions of SMAP, all accepted papers are planned to be published by IEEE in IEEEXplore. Based on the quality of the work presented and its estimated potential selected papers will be invited for consideration, in a revised and extended form, for inclusion in an additional journal publication.

*Submission guidelines
Each submitted paper will be refereed by at least three members of the SMAP 2017 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.

Maria Bielikova, Slovak University of Technology in Bratislava
Marian Simko, Slovak University of Technology in Bratislava

Ioannis Anagnostopoulos, University of Thessaly
Iraklis Paraskakis, The University of Sheffield, International Faculty CITY College, Greece

Sebastien Laborie, University of Pau

Milena Zeithamlova, Action M Agency

Patrik Hlavac, Slovak University of Technology in Bratislava

Ioannis Anagnostopoulos, University of Thessaly
Maria Bielikova, Slovak University of Technology in Bratislava
Sébastien Laborie, University of Pau
Martin Lopez-Nores, University of Vigo
Phivos Mylonas, Ionian University
Yannick Naudet, Luxembourg Institute of Science and Technology
Nicolas Tsapatsoulis, Cyprus University of Technology
Manolis Wallace, University of the Peloponnese

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