Towards a method of ontology population from heterogeneous sources of structured data

DOI

https://doi.org/10.1109/NC.2017.8263278
Final published version

Irina Leshcheva
Evgeny Blagov
Anastasiia Pleshkova

The report discusses different approaches and methods of populating an existing ontology with individuals and interrelationships between them on the basis of structured data retained in various heterogeneous sources. Specific emphasis is put on developing an open method that could allow integrating data of various nature.

Original language	English
Title of host publication	IEEE 30th Jubilee Neumann Colloquium, NC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	29-34
Number of pages	6
Volume	2018-January
ISBN (Electronic)	9781538646366
ISBN (Print)	9781538646366
DOIs	https://doi.org/10.1109/NC.2017.8263278
State	Published - 17 Jan 2018
Event	30th IEEE Jubilee Neumann Colloquium, NC 2017 - Budapest, Hungary Duration: 24 Nov 2017 → 25 Nov 2017

Publication series

Name	IEEE 30th Jubilee Neumann Colloquium, NC 2017
Volume	2018-January

Conference

Conference	30th IEEE Jubilee Neumann Colloquium, NC 2017
Country/Territory	Hungary
City	Budapest
Period	24/11/17 → 25/11/17

Scopus subject areas

Computer Science Applications
Health Informatics

Research areas

data integration, knowledge base, ontology, ontology population, SCOPUS

ID: 36614487