AI*IA 2007: Special Track Call for Paper
Roberto Basili
basili at info.uniroma2.it
Fr Jan 26 11:20:55 CET 2007
(Please apologize multiple postings)
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"AI*IA07"
Special Track Call for Paper
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Artificial Intelligence and Human-oriented Computing
10th Congress of the Italian Association for Artificial Intelligence
September 10-13, 2007 - University of Roma Tor Vergata (Italy)
Web: http://aiia.info.uniroma2.it/
* * * Submission deadline: April 25, 2007 * * *
This year bi-annual Congress of the Italian Association for Artificial
Intelligence will include three Special Tracks about the following specific
topics:
· AI and Robotics
· AI for Intelligent Access to Multimedia Data
· AI for Expressive Media
AI*IA invites the submission of papers to the Special Tracks. Each special
track will span one full day of the Congress, running in parallel with the
other AI*IA 07 program sections. The Special Track programs will include
presentation of technical papers and an invited talk. All Special Tracks
have separated Web portals for the electronic submissions of technical
papers although they share the same deadlines (see "Intruction for Authors"
below). All accepted papers will be published in the AI*IA 2007 Congress
proceedings on the Springer-Verlag LNAI series (previous volumes, AI*IA
2005, AI*IA 2003). All information about AI*IA07 Special Tracks are
published at: http://aiia.info.uniroma2.it/specialprogram.html
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AI*IA-07 Special Track on "AI and Robotics"
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Description
The acceptance and success of robotics in real environments is still
substantially depending on the ability of robots to effectively act,
possibly in cooperation with other robots or devices, in unknown and
dynamic environments as well as to naturally interact with humans.
The goal of the special track on "AI and Robotics" is to provide a forum
for discussion of the research approaches that face some of the scientific
challenges raised by the attempt to build robotic systems, regarded as
intelligent agents: companions, assistants, teammates. In particular, we
welcome contributions that exploit AI techniques and approaches to the
design of intelligent robotic agents.
The European Robotic Platform, in addition to industry, indicates two major
commercial targets for robotics, service and security/space. Consequently,
we encourage presentation of research work specifically in these
application areas.
Topics of interest include, but are not limited to:
- Cognitive Robotics
- Robotic Perception
- Robotic Learning
- Human Robot Interaction
- Emotional Robotics
- Humanoid Robots
- Bioinspired Robotics
- Service Robotics
- Space Robotics
- Security Robotics
Program Committee
Andrea Bonarini, Politecnico Milano (Italy)
Antonio Chella, Università di Palermo (Italy)
Daniele Nardi, Università "La Sapienza" Roma (Italy) (chair)
Stefano Nolfi, ICST-CNR, Roma (Italy)
Enrico Pagello, Università di Padova (Italy)
Fiora Pirri, Università "La Sapienza" Roma (Italy)
Alessandro Saffiotti, Orebro University, Sweden
Bruno Siciliano, Università "Federico II", Napoli (Italy)
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AI*IA-07 Special Track on "AI for Intelligent Access to Multimedia Data"
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Description
The full exploitation of multimedia archives is only viable through
technologies that allow filling the so-called Semantic Gap between
low-level multimedia descriptors and the semantics of human interpretation.
Although technologies for indexing of AV material are now available,
locating the suitable information given the scale and the heterogeneity of
the current and growing archives is still an open problem. As the tradition
and trends in information retrieval and Web search suggests, information
integration at a conceptual level and automatic knowledge discovery and
acquisition are required. The role of AI is here twofold. On one side
knowledge representation technologies are requested to support the
managemenet of the overall complexity according to current standard
formalisms and best practices applied in the Semantic Web. On the other
hand, the typical redundancy in multimedia data opens the way to
intelligent inductive technologies. Data mining and machine learning
methods can be successfully applied to enrich data descriptions, increase
their abstraction leveland scale up to the suitable dimensions. Mining the
huge information and knowledge embodied by the audiovisual archives
represents an important step forward.
In this special track, researchers and practitioners from academic and
industrial institutions are expected to present their work in the area of
multimedia content processing and artificial intelligence. Recent
theoretical and applicative results about representation, indexing,
acquisition and delivery of multimedia semantics in real scenarios will be
presented and discussed. The outcome will represent a possibly heterogenous
but wide picture of the area that surveys current results and stimulates
cross-fertilization among independent research fields.
Program Committee
Werner Bailer Joanneum Research, (Austria)
Roberto Basili, University of Roma, Tor Vergata (Italy) (chair)
Hamish Cunningham, University of Sheffield (UK)
Daniela D'Aloisi, Fondazione Ugo Bordoni (Italy)
Alberto Messina, RAI-CRIT (Italy)
Borislav Popov, Sirma Lab., Ontotext, (Bulgaria),
Giovanni Semeraro, University of Bari (Italy)
Valentin Tablan, University of Sheffield (UK)
Fabio Vignoli, Philips Research Lab. Europe (The Netherlands)
Topics
Topics of interest include, but are not limited to:
- Integration of multimedia processing and Artificial
Intelligence technologies
- Semantic-driven multimedia indexing and retrieval
- Integration of content-based image/video analysis with
natural language and speech processing
- Methods for Semantic media annotation
- Ontologies and Multimedia
- Standards bridging the multimedia and knowledge domains
- Cross-media machine learning and data mining
- Multimodal learning and reasoning techniques
- Dimensionality Issues: low-level and high-level feature engineering
- Knowledge based inference over semantic media annotation
- Browsing large multimedia archives
- Scalable, semantic-driven multimedia content adaptation
and summarization
- Interfaces and personalisation for large multimedia repositories
- Semantics-driven multimedia presentation generation
- Intelligent content, user and network-aware media engineering
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AI*IA-07 Special Track on "AI and Expressive Media"
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AI techniques are widespread in novel communication forms, especially
in those that aim at shaping audience/user's emotions through expressive
contents, e.g. behavior models of acting virtual characters, engines for
game programming, planning formalisms in interactive storytelling,
learning techniques for music composition and performance.
The goal of the Special Track on "AI and Expressive Media" is
to provide a definition of the Expressive Media in extensional terms
(through reworked examples of applications), to improve the general
awareness of the AI techniques that are mostly employed (together with
revealing new interesting problems to be modeled), to stimulate the
sharing of AI approaches among researchers in different communication
forms.
Researchers, developers and practitioners working in artificial
intelligence, human sciences, media studies, music, art and design, and
other related areas, are invited to submit their works. Particular
attention to cross-fertilization is solicited; each paper will also be
reviewed by one non-expert of some particular communication form in
order to improve the circulation of ideas.
The program will include presentation of the selected papers and
posters, one invited talk and a final panel, and will occupy one full
day of the Congress in parallel with the other Special Tracks.
Program Committee
Marc Cavazza, University of Teesside, UK
David Cope, University of California, Santa Cruz, USA
Craig Lindley, Gotland University and Blekinge Technical College, Sweden
Vincenzo Lombardo, Università di Torino, Italy (Chair)
Ramon Lopez de Mantaras, IIIA - AI Research Institute CSIC, Bellaterra, Spain
Frank Nack, Université Claude Bernard, Lyon 1, France
Anton Nijholt, University of Twente, The Netherlands
Ana Paiva, Technical University of Lisbon, Portugal
Oliviero Stock, ITC-IRST, Trento, Italy
Topics
The topics listed for this special track summarize and generalize over
several initiatives that have been arising on the relationship between
AI and expressive media. However, it is by no means exhaustive.
Affective Computing
AI and Media Studies
AI and Creativity
AI in Communication Design
AI in Entertaiment
AI in Music and Art
AI in Interaction Paradigms
AI in Game Design and Programming
Autonomous Animated Characters
Computational Humor
Emotional Interfaces
Interactive Storytelling
Intelligent Virtual Environments
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Important Dates (for all Special tracks)
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Paper due: April 25 2007
Acceptance Notification: June, 2 2007
Final Paper due: June, 25 2007
Conference: September 10-13, 2007
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Instructions for Authors
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All Special Track will consist of paper and poster presentations. The
submissions to each Special Track are managed by three independent Web
submission portal. Please check on the Special Track portal at for the details.
Papers must be submitted no later than 15th of April 2007. All papers
should consist of max. 8 pages (inclusive of references, tables, figures
and equations), in English. PDF files should be submitted formatted
according to the Springer Verlag Proceedings style. Latex style files and
word document templates can be found at: LNCS Series: Author
Instruction
All accepted papers and posters will be published in the AI*IA 2007
Congress proceedings on the Springer-Verlag LNAI series (the previous
volume can be found at
AI*IA 2005 (URL: http://www.springerlink.com/content/48ue1vxmf0wl/).
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Conference Venue
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The conference will take place at Villa Mondragone (Monte Porzio Catone,
Roma), one of the historical and most beautiful buildings of the "Ville
Tuscolane", dating back to the XVI century. Property of the University of
Tor Vergata, the Villa is located between Frascati and Monte Porzio Catone,
in the hart of the world famous area of Castelli Romani. Roma is only 20 km
north-west from the conference venue.
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Roberto BASILI
Department of Computer Science, Systems and Production
AI Research Group
University of Roma, Tor Vergata
Via del Politecnico 1
00133 Roma, Italy
Tel. +39-06-72597391.
Lab. +39-06-72597332,
Fax. +39-06-72587460
URL: ai-nlp.info.uniroma2.it/basili
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