Automating Knowledge Discovery Workflow Composition Through Ontology-Based Planning
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00173914" target="_blank" >RIV/68407700:21230/11:00173914 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5575359" target="_blank" >http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5575359</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TASE.2010.2070838" target="_blank" >10.1109/TASE.2010.2070838</a>
Alternative languages
Result language
angličtina
Original language name
Automating Knowledge Discovery Workflow Composition Through Ontology-Based Planning
Original language description
The problem addressed in this paper is the challenge of automated construction of knowledge discovery workflows, given the types of inputs and the required outputs of the knowl- edge discovery process. Our methodology consists of two main ingredients. The first one is defining a formal conceptualization of knowledge types and data mining algorithms by means of knowl- edge discovery ontology. The second one is workflow composition formalized as a planning task using the ontology of domain and task descriptions. Two versions of a forward chaining planning algorithm were developed. The baseline version demonstrates suitability of the knowledge discovery ontology for planning and uses Planning Domain Definition Language (PDDL) descriptions of algorithms; to this end, a procedure for converting data mining algorithm descriptions into PDDL was developed. The second directly queries the ontology using a reasoner.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA201%2F09%2F1665" target="_blank" >GA201/09/1665: Bridging the gap between system biology and machine learning</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
ISSN
1545-5955
e-ISSN
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Volume of the periodical
8
Issue of the periodical within the volume
2
Country of publishing house
US - UNITED STATES
Number of pages
12
Pages from-to
253-264
UT code for WoS article
000289204900001
EID of the result in the Scopus database
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