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|Title:||Ontology of core data mining entities|
|Keywords:||Science & Technology;Technology;Computer Science, Artificial Intelligence;Computer Science, Information Systems;Computer Science;Ontology of data mining;Mining structured data;Domain ontology;COORDINATED EVOLUTION;KNOWLEDGE DISCOVERY;BIOLOGICAL-ACTIVITY;REGRESSION TREES;CLASSIFICATION;ARTEMISININ;ENVIRONMENT;ENSEMBLES;PREDICT;MODELS|
|Citation:||DATA MINING AND KNOWLEDGE DISCOVERY, 28:5-6, pp. 1222 - 1265, 2014|
|Abstract:||In this article, we present OntoDM-core, an ontology of core data mining entities. OntoDM-core defines themost essential datamining 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.|
|Appears in Collections:||Dept of Computer Science Research Papers|
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