The application of ontology model in knowledge retrieval and recommendation

DOI

10.2991/icmt-13.2013.13How to use a DOI?

Keywords

Ontology knowledge model, Moodle platform, Knowledge retrieval, Semantic relation.

Abstract

The traditional way of keywords-based information retrieval mainly uses string matching to obtain search results. This kind of means ignores the semantic relations between keywords and retrieval results so it is difficult to express the real searching requirement of the users. For the above problem, this paper brings forward a novel knowledge information retrieval mechanism based on ontology. By applying the built course knowledge ontology to the Moodle platform, this paper implements a knowledge retrieval engine, which can get concepts information having semantic relations with the input keywords. Thus the search engine is completely different from the traditional keyword-based knowledge retrieval, and it has some features of semantic retrieval. This engine facilitates the establishment of concepts network for learners, with which the learners can easily obtain the semantic relations among concepts.

Copyright

© 2013, 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  - Zhang Liang
AU  - Zhang Yuanfeng
PY  - 2013/11
DA  - 2013/11
TI  - The application of ontology model in knowledge retrieval and recommendation
BT  - Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SP  - 96
EP  - 104
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.13
DO  - 10.2991/icmt-13.2013.13
ID  - Liang2013/11
ER  -