IGSNRR OpenIR
A holistic approach to aligning geospatial data with multidimensional similarity measuring
Yu, Li1,2; Qiu, Peiyuan1; Liu, Xiliang1,3; Lu, Feng1,3,4; Wan, Bo5
2018
Source PublicationINTERNATIONAL JOURNAL OF DIGITAL EARTH
ISSN1753-8947
Volume11Issue:8Pages:845-862
Corresponding AuthorLu, Feng(luf@lreis.ac.cn)
AbstractSemantically aligning the heterogeneous geospatial datasets (GDs) produced by different organizations demands efficient similarity matching methods. However, the strategies employed to align the schema (concept and property) and instances are usually not reusable, and the effects of unbalanced information tend to be neglected in GD alignment. To solve this problem, a holistic approach is presented in this paper to integrally align the geospatial entities (concepts, properties and instances) simultaneously. Spatial, lexical, structural and extensional similarity metrics are designed and automatically aggregated by means of approval voting. The presented approach is validated with real geographical semantic webs, Geonames and OpenStreetMap. Compared with the well-known extensional-based aligning system, the presented approach not only considers more information involved in GD alignment, but also avoids the artificial parameter setting in metric aggregation. It reduces the dependency on specific information, and makes the alignment more robust under the unbalanced distribution of various information.
KeywordGeospatial data data alignment similarity matching semantic web
DOI10.1080/17538947.2017.1359688
WOS KeywordSPATIAL DATA ; SEMANTIC SIMILARITY ; LINKED DATA ; CONFLATION ; WEB ; INFRASTRUCTURES ; NETWORKS
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41631177] ; Chinese Academy of Sciences Key Project[ZDRW-ZS-2016-6-3]
Funding OrganizationNational Natural Science Foundation of China ; Chinese Academy of Sciences Key Project
WOS Research AreaPhysical Geography ; Remote Sensing
WOS SubjectGeography, Physical ; Remote Sensing
WOS IDWOS:000435179200005
PublisherTAYLOR & FRANCIS LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/54695
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLu, Feng
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Chinese Acad Sci, Natl Sci Lib, Beijing, Peoples R China
3.Fujian Collaborat Innovat Ctr Big Data Applicat G, Fuzhou, Fujian, Peoples R China
4.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing, Jiangsu, Peoples R China
5.China Univ Geosci, Fac Informat Engn, Wuhan, Hubei, Peoples R China
Recommended Citation
GB/T 7714
Yu, Li,Qiu, Peiyuan,Liu, Xiliang,et al. A holistic approach to aligning geospatial data with multidimensional similarity measuring[J]. INTERNATIONAL JOURNAL OF DIGITAL EARTH,2018,11(8):845-862.
APA Yu, Li,Qiu, Peiyuan,Liu, Xiliang,Lu, Feng,&Wan, Bo.(2018).A holistic approach to aligning geospatial data with multidimensional similarity measuring.INTERNATIONAL JOURNAL OF DIGITAL EARTH,11(8),845-862.
MLA Yu, Li,et al."A holistic approach to aligning geospatial data with multidimensional similarity measuring".INTERNATIONAL JOURNAL OF DIGITAL EARTH 11.8(2018):845-862.
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