A holistic approach to aligning geospatial data with multidimensional similarity measuring
文献类型：期刊论文
| 作者 | Yu, Li1,2; Qiu, Peiyuan1; Liu, Xiliang1,3; Lu, Feng1,3,4; Wan, Bo5 |
| 刊名 | INTERNATIONAL JOURNAL OF DIGITAL EARTH
 |
| 出版日期 | 2018 |
| 卷号 | 11期号:8页码:845-862 |
| 关键词 | Geospatial data data alignment similarity matching semantic web |
| ISSN号 | 1753-8947 |
| DOI | 10.1080/17538947.2017.1359688 |
| 通讯作者 | Lu, Feng(luf@lreis.ac.cn) |
| 英文摘要 | Semantically 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. |
| WOS关键词 | SPATIAL DATA ; SEMANTIC SIMILARITY ; LINKED DATA ; CONFLATION ; WEB ; INFRASTRUCTURES ; NETWORKS |
| 资助项目 | National Natural Science Foundation of China[41631177] ; Chinese Academy of Sciences Key Project[ZDRW-ZS-2016-6-3] |
| WOS研究方向 | Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000435179200005 |
| 出版者 | TAYLOR & FRANCIS LTD |
| 资助机构 | National Natural Science Foundation of China ; Chinese Academy of Sciences Key Project |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/54694]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Lu, Feng |
| 作者单位 | 1.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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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