The Optimization of Campus Information Semantic Retrieval Ordering Algorithm Based on Ontology
- https://doi.org/10.2991/emim-15.2015.83How to use a DOI?
- Campus information; Ontology; Semantic retrieval algorithm; Weigh; Order
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.
- © 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/).
Cite this article
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 - https://doi.org/10.2991/emim-15.2015.83 ID - Zhang2015/04 ER -