ADU 2012 : Automatic Data Understanding - ADU 2012
Call For Papers
Conference name: Automatic Data Understanding - ADU 2012
In conjunction with the 4th International Conference on Agents and Artificial Intelligence - ICAART 2012
Venue: Vilamoura, Algarve, Portugal
Conference date: 6-8 February, 2012
Warsaw University of Technology
Scope and Topics
Data understanding is the fundamental property of human's communication. Automatic data understanding is a paradigm for communication with machines.
The paradigm of automatic data understanding includes wide spectrum of topics: data representation, data arrangements, methods of description, syntactic structuring and semantic analysis of descriptions, granulation of syntax and semantics, identification of local structures, knowledge space formation, performing structural operations and similar ones. The paradigm of automatic data understanding is a generalized methodology adaptable to different domains like technical drawings, geodesic maps, medical images, music information, written and spoken natural languages and others. Yet, detailed methods, algorithms and techniques derived from the paradigm of automatic data understanding are domain dependent.
The aim of this Session is to bring together different representative actors, to exchange ideas, to debate divergences and to construct convergences around the paradigm of automatic data understanding. Original contributions describing research ideas, case studies and new findings on methodological and technological aspects related to this paradigm are warmly welcomed.
Topics of interest
Topics of interest include, but are not limited to:
Data Representation and Arrangements
Methods of Data Description
Syntactic Structuring of Data Descriptions
Semantic Analysis of Data Descriptions
Granulation of Syntax and Semantics
Local Data Structuring
Knowledge Space Formation
Automatic Understanding of Ontologies
Model-based Data Structuring
Intelligent User Interfaces
Natural Language Understanding
Domain Oriented Data Mining
Pattern Recognition as Data Structuring
Unlisted but related sub-topics are also acceptable, provided they fit in the paradigm of data understanding.
Paper Submission: October 31, 2011
Authors Notification: November 18, 2011
Final Paper Submission and Registration: December 2, 2011
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