Linking people, processes and open data automatically to enhance tropical research on sustainability
Myers, Trina, Trevathan, Jarrod, and Atkinson, Ian (2013) Linking people, processes and open data automatically to enhance tropical research on sustainability. In: Abstracts from the International Conference on Environmental, Cultural, Economic, and Social Sustainability. 510. From: Ninth International Conference on Environmental, Cultural, Economic and Social Sustainability, 23-25 January 2013, Hiroshima, Japan.
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Abstract
Collaboration is an essential ingredient in modern research efforts directed at answering complex problems such as sustainability in the tropic zone. Difficult problems relevant to the tropics include urbanisation, population growth, biodiversity pressures, public health, climate change, etc. Collaborations have the potential to bridge disciplines, and apply the rich perspectives, diversity of understanding and collective intelligence required to solve these significant sustainability issues. However, barriers exist to the discovery of rich open data sources and potential partners because data is stored in disparate data silos and content about people are only in human-readable form on the Web. The discovery and establishment of collaborations are often constrained for researchers who live in the tropics due to remote geographical locations and/or isolation from other researchers. The Tropical Data Hub (TDH) is a platform to store, aggregate, selectively process and serve significant tropical data sets. Here, semantic technologies are applied to the TDH to automate linkages between its metadata and data-sets to initiate intelligent searching and alerting. These linkages automatically reveal hidden connections between related data, people and processes. Then, cohort discovery of potential collaborative partners and the discovery of, and connection to, open data sets can better enable cross-disciplinary research on sustainability.
| Item ID: | 23844 |
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| Item Type: | Conference Item (Presentation) |
| Keywords: | semantic technologies, ontology, linked data |
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| Date Deposited: | 05 Mar 2014 01:55 |
| FoR Codes: | 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080105 Expert Systems @ 100% |
| SEO Codes: | 97 EXPANDING KNOWLEDGE > 970108 Expanding Knowledge in the Information and Computing Sciences @ 100% |
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