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Identifying geospatial services across heterogeneous taxonomies

发布日期:2016-12-01 18:08:25 阅读次数:[2337]次 作者:

核心提示:来源出版物: GEOCARTO INTERNATIONAL

作者: Li, H (Li, Hao); Wang, YD (Wang, Yandong); Bian, L (Bian, Ling); Wang, T (Wang, Teng)
来源出版物: GEOCARTO INTERNATIONAL  卷: 31  期: 10  页: 1058-1077  DOI: 10.1080/10106049.2015.1110208  出版年: 2016
摘要: Geospatial services with different functions are assembled together to solve complex problems. Different taxonomies are developed to categorize these services into classes. As differences in granularity and semantics exist among these taxonomies, the identification of services across different taxonomies has become a challenge. In this paper, an approach to identify geospatial services across heterogeneous taxonomies is proposed. Using formal concept analysis, existing heterogeneous taxonomies are decomposed into semantic factors and their various combinations. With these semantic factors, a super taxonomy is established to integrate the original heterogeneous taxonomies. Finally, with the super taxonomy as a cross-referencing system, geospatial services with classes in original taxonomies are identifiable across taxonomies. Experiments in service registries and a social media-based spatial-temporal analysis project are presented to illustrate the effectiveness of this approach.


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