WP4%20Zagreb,%2021.june%202007

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WP4Zagreb, 21.june 2007
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WP4 Knowledge representation, discovery, and
management T4.1 Data warehouse for knowledge
discovery T4.2 Data understanding and
preparation T4.3 Implementation of knowledge
discovery processes T4.4 Ontologies and
knowledge representation
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WP4 Knowledge representation, discovery, and
management T4.1 Data warehouse for knowledge
discovery T4.2 Data understanding and
preparation T4.3 Implementation of knowledge
discovery processes T4.4 Ontologies and
knowledge representation
ended 1.may
to end on 1. august ? MS4.1 !!!
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WP4 Knowledge representation, discovery, and
management T4.1 Data warehouse for knowledge
discovery T4.2 Data understanding and
preparation T4.3 Implementation of knowledge
discovery processes T4.4 Ontologies and
knowledge representation
ended 1.may
till 1. september
till M33
to end on 1. august ? MS4.1 !!!
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WP4 Knowledge representation, discovery, and
management T4.1 Data warehouse for knowledge
discovery T4.2 Data understanding and
preparation T4.3 Implementation of knowledge
discovery processes T4.4 Ontologies and
knowledge representation
D21
to end on 1. august ? MS4.1 !!!
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WP4 Knowledge representation, discovery, and
management T4.1 Data warehouse for knowledge
discovery T4.2 Data understanding and
preparation T4.3 Implementation of knowledge
discovery processes T4.4 Ontologies and
knowledge representation
D21
D22
? MS4.1
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WP4 Knowledge representation, discovery, and
management T4.1 Data warehouse for knowledge
discovery T4.2 Data understanding and
preparation T4.3 Implementation of knowledge
discovery processes T4.4 Ontologies and
knowledge representation
D29 month 24 MS4.2
? MS4.1
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WP4 Knowledge representation, discovery, and
management T4.1 Data warehouse for knowledge
discovery T4.2 Data understanding and
preparation T4.3 Implementation of knowledge
discovery processes T4.4 Ontologies and
knowledge representation
D21
D29
D22
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WP4 Knowledge representation, discovery, and
management T4.1 Data warehouse for knowledge
discovery T4.2 Data understanding and
preparation T4.3 Implementation of knowledge
discovery processes T4.4 Ontologies and
knowledge representation
D21
D29
D22
integration of knowledge representation with DSS
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WP3
WP5
WP4
DSS
HF Middleware
Knowledge Base
During the review meeting in Brussels pointed out
as very relevant and very difficult problem
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• What has been done in the period from the last
  meeting
• T4.1
• - Functional specification of the data
  transformation from patient data defined by the
  'Case report form' into the complete set of
  attributes prepared for knowledge discovery has
  been done.
• Open source DW software package Pentaho has been
  extensively studied and its application tested
  for some multi-patient managerial tasks and
  single patients decision support purposes.
• Work on D21.

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• T4.2
• Retrospective data from UNICZ have been
  transformed to the standard Weka (arff) and
  illm form. Data have been cleaned manually by
  elimination of obvious outliers and sparsely
  populated attributes.
• Retrospective ANMCO data set has been
  transformed to the Weka format.
• D21 on data preparation has been started.

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• T4.3
• Experiments with contrast set mining and Kernel
  based Support Vector Machine (?) algorithms have
  started in parallel on available retrospective
  data.
• ANMCO seems as a good simulation of data that
  will be collected by the platform (except
  continuous data monitoring).
• We have some results with UNICZ and ANMCO data,
  but the results are not very optimistic.

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• T4.4
• HF ontology has been upgraded.
• Meeting in Milan with UNIMIB and AUXOL -gt
  procedural knowledge related to HF has been
  prepared in the form of 10 sets of rules.
• In cooperation with JUMC some of the rule sets
  have been discussed and improved.
• Additionally, for some common HF related
  decision problems medical plans have been
  developed.
• ontology rules medical plans
  are on line on
• http//lis.irb.hr/heartfaid/

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• T4.4 continued
• encountered problems
• developed HF ontology is large but not
  appropriate for reasoning (taxonomy) !
• Open issue how to integrate ontology
  (descriptive knowledge) and rules (procedural
  knowledge) ?
• possible solution
• development of the procedural ontology
  development of the ontology interpreter for DSS
  interface

we have devoted a lot of work to this idea!
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• WP4 presentation plan
• Knowledge representation for HF domain (D22) -
  Alan Jovic
• Demo on procedural ontology and ontology
  reasoning for DSS support - Marin Prcela
• Data warehousing on HF platform (D21) - Tom
  Šmuc
• Discussion on
• a) D21
• b) D22
• c) KB DSS interface