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Third International Workshop on Third Generation Data Mining:
Towards Service-Oriented Knowledge Discovery (SoKD-2010)
The Workshop on Third Generation Data Mining: Towards Service-Oriented Knowledge Discovery (SoKD-2010) will be
held on 24 September 2010 in Barcelona, Spain, in conjunction with the 21st European
Conference on Machine Learning and the 14th European Conference on
Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD-2010). SoKD-2010 is the third workshop on this topic:
Background
A
major challenge for third generation data mining and knowledge
discovery systems is the integration of distributed data/knowledge
resources (which are highly diverse in nature in terms of
representation and data formats) and computer systems (tools for data
integration, data mining and knowledge discovery). First generation data mining systems supported a single algorithm or a small collection of algorithms that are designed to mine attribute-valued data. Today's second generation systems
support high performance interfaces to databases and data warehouses,
and provide increased scalability and increased functionality; for
example, second generation systems can mine larger and more complex
data sets and provide increased flexibility by supporting a data mining
schema and a data mining query language.
The emerging third generation data mining and knowledge discovery systems
should be able to mine distributed and highly heterogeneous data found
on intranets/extranets/grid/cloud and integrate efficiently with
operational data/knowledge management and data mining systems. The key
technologies which will make third generation data mining and knowledge
discovery possible should include:
- meta-data (semantic annotations) on different information
resources (data, human-coded knowledge, and machine-induced patterns
and predictive models), and on the ingredients of data mining and
knowledge discovery systems (pattern mining and model discovery tools),
- implementations of data mining and knowledge discovery tools as
services available on the web. Such service-oriented data mining and
knowledge discovery systems will enable meta-level search of
data/knowledge resources and mining systems, facilitating the
construction of knowledge discovery workflows (representing potentially
repeatable sequences of data mining and data integration steps) and
resulting in improved pattern and model discovery.
Compared to contemporary search engines which provide a means of
locating data on the net, third generation data mining and knowledge
discovery systems will provide a means for discovering patterns,
associations, changes and anomalies in networked data, where each data
source comes with its own structure, semantics, data formats, names,
concepts, and access methods. Currently, the burden falls on the user
to manually (via programs) convert between the data formats, resolve
conflicts, integrate data and interpret results in order to make viable
use of this information.
Goals and Target Audience
This workshop intends to gather contributions supporting third
generation data mining and knowledge discovery, elaborating a
service-oriented approach to information fusion, for the needs of
exploratory data analysis in the framework of inductive databases,
enriched with ontology information available from the web.
Given the growing amount of information available on the net, this
workshop should be of interest to knowledge engineers, as well as
students and researchers interested in data mining and advanced methods
for knowledge discovery. The workshop will also concern researchers in
databases and in software engineering, for whom data mining is an
“application area”. Finally, it will not fail to attract researchers
and practitioners in semantic web technologies, as the ultimate
fulfillment of a truly semantic web resides in the possibility of
extracting not just readily available information but also deep
knowledge in the form of underlying patterns and regularities.
Topics
This workshop intends to gather contributions supporting third
generation data mining and knowledge discovery, elaborating a
service-oriented approach to information fusion, for the needs of
exploratory data analysis in the framework of inductive databases,
enriched with ontology information available from the web. The workshop
sollicits papers on the following topics:
Theoretical framework for third generation data mining and knowledge discovery
Inductive databases, constraint-based data mining and inductive queries
Service-oriented approaches to data mining
Meta-level annotations and search for data mining services
Multiple-source learning or learning from heterogeneous data including text & images
Integrating prior knowledge (probabilities, ontologies) into data mining
Data mining ontologies, in particular novel ontological representation schemes for handling quantitative data and data streams
Data mining workflows/scenarios
Data mining on the grid and cloud computing
Applications of service-oriented data mining approaches in
business, ecological modeling, medicine, health care, e-science,
bioinformatics, etc.
Submission
Authors are invited to submit papers related to the topics listed
above. Technical papers will be assessed based on relevance,
originality, significance, technical soundness and clarity of
presentation, by at least 2 Program Committee members.
The maximum length of submissions is 12 pages for technical papers and
6 pages for position papers. All submissions should follow the Springer-Verlag LNCS format.
Please submit papers as PDF files to the EasyChair SoKD-10 home page.
Workshop Program
View Workshop Program or download PDF version
Workshop Proceedings
Download Workshop proceedings .
Organization
Workshop Chairs
Melanie Hilario |
Artificial Intelligence Laboratory, University of Geneva |
melanie[dot]hilario[at]unige[dot]ch |
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Joost N. Kok |
Leiden Institute of Advanced Computer Science, Leiden University |
joost[at]liacs[dot]nl |
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Nada Lavrac |
Department of Knowledge Technologies, Jozef Stefan Institute |
nada[dot]lavrac[at]ijs[dot]si |
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Vid Podpecan |
Department of Knowledge Technologies, Jozef Stefan Institute |
vid[dot]popedcan[at]ijs[dot]si |
Program Committee
Abraham Bernstein |
University of Zurich (Switzerland) |
Michael Berthold |
Konstanz University (Germany) |
Hendrik Blockeel
| Leuven University (Belgium) |
Jeroen de Bruin |
Leiden University (The Netherlands) |
Werner Dubitzky |
University of Ulster (UK) |
Alexandros Kalousis |
University of Geneva (Switzerland) |
Igor Mozetic |
Jozef Stefan Institute (Slovenia) |
Filip Zelezny |
Czech Technical University (Czechia) |
Additional Reviewers
Agnieszka Lawrynowicz |
Poznan University of Technology (Poland) |
Yvan Saeys |
Ghent University (Belgium) |
Important Dates
Submission deadline |
5 July 2010 |
Notification of acceptance |
30 July 2010 |
Camera-ready papers due |
13 August 2010 |
Workshop |
24 September 2010 |
Related Links
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