Study on Ontology-based Semantic Extraction Method for Heterogeneous Data

DOI

10.2991/icismme-15.2015.196How to use a DOI?

Keywords

ontology; heterogeneous data; semantic extraction; data integration.

Abstract

In allusion to scientific data isomerism and diversity as well as the lack of semantics in petroleum domain, this paper puts forward ontology-based semantic extraction method for heterogeneous data. Firstly, semantic extraction framework for scientific data in petroleum domain is constructed. On this basis, corresponding semantic transformation and abstract rules are worked out in allusion to structured and semi-structured data to form local domain ontology. Then, overall ontology in petroleum domain of data is constructed through dependence mapping among heterogeneous data. Effective organization and uniform management of heterogeneous data are achieved. Finally, correlation methods are applied in petroleum domain to provide support for effective management of petroleum scientific data and service sharing.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Gaihai Li
AU  - Yan Zhang
AU  - Wangli Yang
AU  - Guiying Shi
PY  - 2015/07
DA  - 2015/07
TI  - Study on Ontology-based Semantic Extraction Method for Heterogeneous Data
BT  - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 929
EP  - 933
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.196
DO  - 10.2991/icismme-15.2015.196
ID  - Li2015/07
ER  -