Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)

The Semantic Retrieval System for Learning Resources Based on Subject Knowledge Ontology

Authors
Bei Wu
Corresponding Author
Bei Wu
Available Online February 2018.
DOI
10.2991/csece-18.2018.102How to use a DOI?
Keywords
knowledge retrieval; knowledge navigation; learning resources
Abstract

There are many kinds of learning resources in the online education platform, but there are still many problems, such as learning resources are difficult to retrieve, search results are redundant, and can only be retrieved by keywords, but lack of semantic support. This paper integrated semantic web into the retrieval of learning resources, and designed the subject knowledge ontology as the knowledge description of learning resources semantic retrieval system, and implemented the semantic retrieval of learning resources through ontology concept similarity analysis, ontology reasoning and ontology in computing and other sectors, to reduce the redundancy of information retrieval results and realize the display of high related resources.

Copyright
© 2018, 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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Volume Title
Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)
Series
Advances in Computer Science Research
Publication Date
February 2018
ISBN
978-94-6252-487-3
ISSN
2352-538X
DOI
10.2991/csece-18.2018.102How to use a DOI?
Copyright
© 2018, 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/).

Cite this article

TY  - CONF
AU  - Bei Wu
PY  - 2018/02
DA  - 2018/02
TI  - The Semantic Retrieval System for Learning Resources Based on Subject Knowledge Ontology
BT  - Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)
PB  - Atlantis Press
SP  - 467
EP  - 469
SN  - 2352-538X
UR  - https://doi.org/10.2991/csece-18.2018.102
DO  - 10.2991/csece-18.2018.102
ID  - Wu2018/02
ER  -