Proceedings of the International Academic Conference on Frontiers in Social Sciences and Management Innovation (IAFSM 2019)

Green Tourism Courses Customized with Digital Maps

Authors
Qiang Yang, Jian Li, Xiaohui Zou
Corresponding Author
Xiaohui Zou
Available Online 17 February 2020.
DOI
10.2991/assehr.k.200207.024How to use a DOI?
Keywords
knowledge management, formatting digital map, knowledge graph, mind map
Abstract

This paper aims to introduce map knowledge management combined with personalization and standardization by taking the green tourism course as an example. The method is as follows: Firstly, the digital map knowledge management methods of the map of green tourism course are divided into several categories, namely: the first type is pure natural landscape, the second type is artificial landscape, and the third type is mixed landscape. Then, on the digital map customized by the green tourism course, these three types of landscapes are treated differently. Finally, the application of knowledge graphs and mind maps and other visualization techniques to enrich the personalized digital maps customized by the green tourism curriculum, and then find a series of events that can be standardized batch processing, and establish a smart query system. Its characteristics are: distinguish learning mode between large and small probability and very special exception. The result: not only the three types of landscapes are clearly visible in the digital map smart system customized by the green tourism course, but also the digital map knowledge management combined with personalized and standardized in the case of green tourism courses. The significance is that such a purpose, method and result not only help the teachers and students to better experience the innovative ideas of the green tourism curriculum, but more importantly, reserve enough opportunities for teachers and students to participate, for example, The selection and scoring of the three types of landscapes is a simple participation, and the effect will produce big data; for another example, not only can the standardized query be used, but also the personalized query can be conveniently established with examples in our paper.

Copyright
© 2020, 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 International Academic Conference on Frontiers in Social Sciences and Management Innovation (IAFSM 2019)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
17 February 2020
ISBN
978-94-6252-905-2
ISSN
2352-5398
DOI
10.2991/assehr.k.200207.024How to use a DOI?
Copyright
© 2020, 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  - Qiang Yang
AU  - Jian Li
AU  - Xiaohui Zou
PY  - 2020
DA  - 2020/02/17
TI  - Green Tourism Courses Customized with Digital Maps
BT  - Proceedings of the International Academic Conference on Frontiers in Social Sciences and Management Innovation (IAFSM 2019)
PB  - Atlantis Press
SP  - 144
EP  - 149
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200207.024
DO  - 10.2991/assehr.k.200207.024
ID  - Yang2020
ER  -