The Optimization of Campus Information Semantic Retrieval Ordering Algorithm Based on Ontology

DOI

10.2991/emim-15.2015.83How to use a DOI?

Keywords

Campus information; Ontology; Semantic retrieval algorithm; Weigh; Order

Abstract

In order to achieve a fast and efficient retrieval of the campus information as well as a better user experience, this paper has constructed an ontology model based on campus, realized and optimized the semantic retrieval algorithm. Meanwhile, by calculating semantic similarity and semantic relevancy, and according to the hit rate of campus information and browsing history of users, the model makes a real-time distribution and adjustment of weights of search keywords to make the sorting of retrieved results more close to the attention and interest of users so as to meet the needs of college teachers and students when they do information retrieval.

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  - Xu Zhang
AU  - Dian Chen
AU  - Jingru Yang
AU  - Zhao Chen
PY  - 2015/04
DA  - 2015/04
TI  - The Optimization of Campus Information Semantic Retrieval Ordering Algorithm Based on Ontology
BT  - Proceedings of the 2015 International Conference on Education, Management, Information and Medicine
PB  - Atlantis Press
SP  - 425
EP  - 430
SN  - 2352-5428
UR  - https://doi.org/10.2991/emim-15.2015.83
DO  - 10.2991/emim-15.2015.83
ID  - Zhang2015/04
ER  -