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Applying Linked Open Data to Green Design.

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Bibliographic Details
Title: Applying Linked Open Data to Green Design.
Authors: Kawamura, Takahiro1, Ohsuga, Akihiko2
Source: IEEE Intelligent Systems. Jan2015, Vol. 30 Issue 1, p28-35. 8p.
Subjects: Information resources management, Open data movement, Access to information, Urban agriculture, Environmental management, Sustainable design, Management
Abstract: Increasing levels of environmental consciousness have spurred interest in urban agriculture and greening. However, plant cultivation in a limited urban space isn't necessarily a simple matter. On one hand, a plant that's not a hardy species might die; on the other, a plant that overgrows could disrupt the balance of vegetation in the surrounding environment. The authors propose an Android application called Green-Thumb Camera, which allows users to search for plants that fit particular environmental conditions from the linked open data (LOD) cloud. Queries are made using smartphone sensor information, and the application then uses augmented reality to overlay an image of the adult plant in the specified space. The authors describe the LOD content generation method and details of the application and then evaluate the accuracy of the LOD data and the application's usability. [ABSTRACT FROM PUBLISHER]
Copyright of IEEE Intelligent Systems is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Applying Linked Open Data to Green Design.
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  Data: Increasing levels of environmental consciousness have spurred interest in urban agriculture and greening. However, plant cultivation in a limited urban space isn't necessarily a simple matter. On one hand, a plant that's not a hardy species might die; on the other, a plant that overgrows could disrupt the balance of vegetation in the surrounding environment. The authors propose an Android application called Green-Thumb Camera, which allows users to search for plants that fit particular environmental conditions from the linked open data (LOD) cloud. Queries are made using smartphone sensor information, and the application then uses augmented reality to overlay an image of the adult plant in the specified space. The authors describe the LOD content generation method and details of the application and then evaluate the accuracy of the LOD data and the application's usability. [ABSTRACT FROM PUBLISHER]
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  Data: <i>Copyright of IEEE Intelligent Systems is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1109/MIS.2014.74
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      – SubjectFull: Information resources management
        Type: general
      – SubjectFull: Open data movement
        Type: general
      – SubjectFull: Access to information
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      – SubjectFull: Urban agriculture
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      – SubjectFull: Environmental management
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      – SubjectFull: Sustainable design
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      – TitleFull: Applying Linked Open Data to Green Design.
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              Text: Jan2015
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