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このアイテムの引用には次の識別子を使用してください:
http://hdl.handle.net/10119/16003
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| タイトル: | Concept Map Building from Linked Open Data for Cybersecurity Awareness Training |
| 著者: | Tan, Zheyu
Hasegawa, Shinobu
Beuran, Razvan |
| キーワード: | LOD
RDF
SPARQL
concept map
Page Rank algorithm |
| 発行日: | 2018-07-14 |
| 出版者: | The Japanese Society for Artificial Intelligence（人工知能学会） |
| 誌名: | Special Interest Group on Advanced Learning Science and Technology (SIG-ALST) |
| 巻: | 83 |
| 開始ページ: | 1 |
| 終了ページ: | 6 |
| 抄録: | With the extraordinary progress made in technology, serious problems have arisen in terms of cybersecurity. There are a large quantity and multiple types of cyberattacks in people's daily life. It has great significance to give people cybersecurity awareness training. But the need to determine on what topics to train people's awareness in cybersecurity comes very first since there are huge cybersecurity materials in the micro-world. This paper will build a concept map from LOD that can be used for awareness training in cybersecurity. This is done by using SPARQL to query useful data from the LOD database DBpedia to get related data nodes. Then we use the Page Rank Algorithm to calculate the importance of each data node. The more important data nodes have higher priority for cybersecurity awareness training. |
| Rights: | Copyright (C) 2018 The Japanese Society for Artificial Intelligence（人工知能学会）. Zheyu Tan, Shinobu Hasegawa, Razvan Beuran, Special Interest Group on Advanced Learning Science and Technology (SIG-ALST), 83, 2018, 1-6. ここに掲載した著作物の利用に関する注意 本著作物の著作権は人工知能学会に帰属します。本著作物は著作権者である人工知能学会の許可のもとに掲載するものです。ご利用に当たっては「著作権法」に従うことをお願いいたします。 Notice for the use of this material. The copyright of this material is retained by the Japanese Society for Artificial Intelligence (JSAI). This material is published on this web site with the agreement of the author(s) and the JSAI. Please be complied with Copyright Law of Japan if any users wish to reproduce, make derivative work, distribute or make available to the public any part or whole thereof. All Rights Reserved, Copyright (C) The Japanese Society for Artificial Intelligence. |
| URI: | http://hdl.handle.net/10119/16003 |
| 資料タイプ: | publisher |
| 出現コレクション: | b10-1. 雑誌掲載論文 (Journal Articles)
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このアイテムのファイル:
| ファイル |
記述 |
サイズ | 形式 |
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| 24441.pdf | | 664Kb | Adobe PDF | 見る/開く |
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