***** Preliminary Call For Papers *****

Knowledge Discovery is the process of automatic extraction of new knowledge from data. However, the characteristics of the data, their semantics as well as the contextual knowledge
that already exists about the data has rarely been explicitly incorporated into in the discovery process. Semantic and reasoning aspects may intervene in several steps of the discovery process, but how these aspects interact within the process, and the forms that this can take, is an issue that has been given little attention so far.
The workshop will seek submissions where semantic information plays an explicit role in the knowledge discovery process. Contributions where general methods for exploiting semantics in the knowledge discovery process are introduced will be preferred. There are no limitations in the data mining sub-areas, ranging from biological data mining, privacy preserving data mining, web mining, text mining, spatio-temporal data mining and many others, provided a clear evidence on how semantics improves the quality of the mining process (e.g. in terms of more efficiency or more meaningful results) is clearly reported in the paper.

More specifically, the aim of the workshop is to receive original contributions in the following topics, which are not exclusive:

– Techniques to embed semantics into the discovery process
– Semantics in data pre-processing and post-processing
– Semantic-based pruning
– Knowledge-based data mining algorithms
– Semantic-based techniques for feature selection
– Ontologies in data pre-processing and mining
– Ontology-based evaluation of discovered patterns
– Data Mining Query Languages
– Constraint-based data mining
– Conceptual modeling and data mining

Important Dates:

* July 23, 2010 : Due date for full workshop papers
* September 20, 2010: Notification of paper acceptance to authors
* October 11, 2010: Camera-ready of accepted papers
* December 13, 2010: Workshop date


Workshop Organizers:

Dr. Vania Bogorny,
Instituto de Informatica,
Universidade Federal do Rio Grande do Sul,
E-mail: vbogorny@inf.ufrgs.br

Dr. Hui Xiong,
Management Science and Information Systems Department,
Rutgers, the State University of New Jersey,
Email: hxiong@rutgers.edu

Dr. Chiara Renso,
KDD Laboratory, ISTI-CNR Pisa, Italy, CNR di Pisa
Via G. Moruzzi 56100 PISA - Italy
Email: chiara.renso@isti.cnr.it