Generic ontology of datatypes

Panov, Panče; Soldatova, Larisa N. and Džeroski, Sašo. 2016. Generic ontology of datatypes. Information Sciences, 329, pp. 900-920. ISSN 0020-0255 [Article]

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Abstract or Description

We present OntoDT, a generic ontology for the representation of scientific knowledge about datatypes. OntoDT defines basic entities, such as datatype, properties of datatypes, specifications, characterizing operations, and a datatype taxonomy. We demonstrate the utility of OntoDT on several use cases. OntoDT was used within an Ontology of core data mining entities for constructing taxonomies of datasets, data mining tasks, generalizations and data mining algorithms. Furthermore, we show how OntoDT can be used to annotate and query dataset repositories. We also show how OntoDT can improve the representation of datatypes in the BioXSD exchange format for basic bio-informatics types of data. The generic nature of OntoDT enables it to support a wide range of other applications, especially in combination with other domain specific ontologies: the construction of data mining workflows, annotation of software and algorithms, semantic annotation of scientific articles, etc. OntoDT is open source and is available at http://www.ontodt.com.

Item Type:

Article

Identification Number (DOI):

https://doi.org/10.1016/j.ins.2015.08.006

Keywords:

Data type; Data mining; Ontology; Knowledge representation

Departments, Centres and Research Units:

Computing

Dates:

DateEvent
9 August 2015Accepted
1 February 2016Published
13 August 2015Published Online

Item ID:

27800

Date Deposited:

02 Jan 2020 16:39

Last Modified:

02 Jan 2020 16:39

Peer Reviewed:

Yes, this version has been peer-reviewed.

URI:

https://research.gold.ac.uk/id/eprint/27800

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