1. A prototype system for multilingual data discovery of International Long-Term Ecological Research (ILTER) Network data
- Author
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Wen Su, Nic Bertrand, Margaret O'Brien, Kristin Vanderbilt, Haibo Yang, Xuebing Guo, Karpjoo Jeong, Chau-Chin Lin, Don Henshaw, Takeshi Osawa, Honglin He, Eun-Shik Kim, Éamonn Ó Tuama, John H. Porter, David Blankman, and Sheng-Shan Lu
- Subjects
0106 biological sciences ,Thesaurus (information retrieval) ,010504 meteorology & atmospheric sciences ,Ecology ,Computer science ,Applied Mathematics ,Ecological Modeling ,Data discovery ,Ontology (information science) ,computer.software_genre ,010603 evolutionary biology ,01 natural sciences ,Computer Science Applications ,Term (time) ,Variety (cybernetics) ,World Wide Web ,Data sharing ,Metadata ,Computational Theory and Mathematics ,Modeling and Simulation ,Web service ,computer ,Ecology, Evolution, Behavior and Systematics ,0105 earth and related environmental sciences - Abstract
Shared ecological data have the potential to revolutionize ecological research just as shared genetic sequence data have done for biological research. However, for ecological data to be useful, it must first be discoverable. A broad-scale research topic may require that a researcher be able to locate suitable data from a variety of global, regional and national data providers, which often use different local languages to describe their data. Thus, one of the challenges of international sharing of long-term data is facilitation of multilingual searches. Such searches are hindered by lack of equivalent terms across languages and by uneven application of keywords in ecological metadata. To test whether a thesaurus-based approach to multilingual data searching might be effective, we implemented a prototype web-services-based system for searching International Long-Term Ecological Research Network data repositories. The system builds on the use of a multilingual thesaurus to make searches more complete than would be obtained through search term-translation alone. The resulting system, when coupled to commodity online translation systems, demonstrates the possibility of achieving multilingual searches for ecological data.
- Published
- 2017
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