Ontology of core data mining entities

被引:26
|
作者
Panov, Pance [1 ]
Soldatova, Larisa [2 ]
Dzeroski, Saso [1 ,3 ,4 ]
机构
[1] Jozef Stefan Inst, Dept Knowledge Technol, Ljubljana 1000, Slovenia
[2] Brunel Univ, Dept Comp Sci, Uxbridge UB8 3PH, Middx, England
[3] Jozef Stefan Int Postgrad Sch, Ljubljana 1000, Slovenia
[4] Ctr Excellence Integrated Approaches Chem & Biol, Ljubljana, Slovenia
基金
英国工程与自然科学研究理事会;
关键词
Ontology of data mining; Mining structured data; Domain ontology; COORDINATED EVOLUTION; CLASSIFICATION; ARTEMISININ; ENSEMBLES; PREDICT; MODELS; TREES;
D O I
10.1007/s10618-014-0363-0
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this article, we present OntoDM-core, an ontology of core data mining entities. OntoDM-core defines the most essential data mining entities in a three-layered ontological structure comprising of a specification, an implementation and an application layer. It provides a representational framework for the description of mining structured data, and in addition provides taxonomies of datasets, data mining tasks, generalizations, data mining algorithms and constraints, based on the type of data. OntoDM-core is designed to support a wide range of applications/use cases, such as semantic annotation of data mining algorithms, datasets and results; annotation of QSAR studies in the context of drug discovery investigations; and disambiguation of terms in text mining. The ontology has been thoroughly assessed following the practices in ontology engineering, is fully interoperable with many domain resources and is easy to extend. OntoDM-core is available at http.//www.ontodm.com
引用
收藏
页码:1222 / 1265
页数:44
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