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Understanding Spatial Knowledge : An Ontology-Based Representation for Object Identification
https://sucra.repo.nii.ac.jp/records/13808
https://sucra.repo.nii.ac.jp/records/13808de653fcc-9176-40b6-8832-b8c707ad6542
名前 / ファイル | ライセンス | アクション |
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A3000410.pdf (5.1 MB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2016-03-02 | |||||
タイトル | ||||||
タイトル | Understanding Spatial Knowledge : An Ontology-Based Representation for Object Identification | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | spatial knowledge | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | ontology engineering | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | human-machine interaction | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
著者 |
CAO, Lu
× CAO, Lu× LAM, Antony× 小林, 貴訓× 久野, 義徳× 加地, 大介 |
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著者 ローマ字 | ||||||
著者 ローマ字 | ||||||
著者 ローマ字 | ||||||
KOBAYASHI, Yoshinori | ||||||
著者 ローマ字 | ||||||
KUNO, Yoshinori | ||||||
著者 ローマ字 | ||||||
KACHI, Daisuke | ||||||
著者 所属 | ||||||
Department of Information and Computer Science, Saitama University | ||||||
著者 所属 | ||||||
Department of Information and Computer Science, Saitama University | ||||||
著者 所属 | ||||||
Department of Information and Computer Science, Saitama University, Japan Science and Technology Agency (JST), PRESTO | ||||||
著者 所属 | ||||||
Department of Information and Computer Science, Saitama University | ||||||
著者 所属 | ||||||
Graduate School of Humanities and Social Sciences, Saitama University | ||||||
書誌情報 |
IIEEJ Transactions on Image Electronics and Visual Computing 巻 3, 号 2, p. 150-163, 発行日 2015 |
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年月次 | ||||||
2015 | ||||||
出版者名 | ||||||
出版者 | 画像電子学会 | |||||
出版者名(別言語) | ||||||
出版者 | The Institute of Image Electronics Engineers of Japan | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 21881901 | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Spatial descriptions are one of the most effective methods to enable interlocutors to identify which object is being discussed in discourse. In this paper, we propose a framework that can identify an object whose positional relation with another object is indicated verbally by a human. To this end, we construct a spatial knowledge ontology. The ontology is enriched by Description Logic (DL) of concepts, which allows discovering hidden knowledge. We also propose a Spatial Object Dataset that is specifically tailored for our experiments with ontological structures. The dataset currently contains 130 objects and in total of 720 images for object recognition and 360 scenes for spatial recognition. Preliminary experimental results confirmed that the system was able to correctly recognizes human descriptions and identify unknown objects and that understanding human spatial descriptions is efficient for human-machine interaction. | |||||
版 | ||||||
[出版社版] | ||||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
資源タイプ | ||||||
内容記述タイプ | Other | |||||
内容記述 | text | |||||
フォーマット | ||||||
内容記述タイプ | Other | |||||
内容記述 | application/pdf | |||||
作成日 | ||||||
日付 | 2016-03-01 | |||||
日付タイプ | Created | |||||
アイテムID | ||||||
A3000410 |