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CrowdGeoKG: Crowdsourced Geo-Knowledge Graph

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Knowledge Graph and Semantic Computing. Language, Knowledge, and Intelligence (CCKS 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 784))

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Abstract

Geo-Knowledge which is known as semantic enriched geographic information plays an important role in many intelligent applications like named-entity recognition and information retrieval. With the development of Internet, volunteers on web-based crowdsourcing platforms like OpenStreetMap (OSM) and Wikidata have contributed big geographic data which however have not been widely studied towards extracting and linking geo-knowledge. In this paper, we presented a crowdsourced geographic knowledge graph named CrowdGeoKG which extracted different kinds of geo-entities from OpenStreetMap and enriched them with human geography knowledge from Wikidata. We further exploited the part of CrowdGeoKG in China, studying the linkage between OpenStreetMap geo-entities and Wikidata geo-entities. CrowdGeoKG is stored in both RDF (Resource Description Framework) and JSON-LD formats, and shared for re-usage on an open knowledge graph community named OpenKG.

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Notes

  1. 1.

    http://wiki.openstreetmap.org/wiki/Stats.

  2. 2.

    https://www.wikidata.org/wiki/Wikidata:Statistics.

  3. 3.

    http://download.geofabrik.de/.

  4. 4.

    https://www.wikidata.org/wiki/Wikidata:Database_download.

  5. 5.

    http://openkg.cn/dataset/crowdgeokg.

References

  1. Almeida, P.D., Rocha, J.G., Ballatore, A., Zipf, A.: Where the streets have known names. In: Gervasi, O., et al. (eds.) ICCSA 2016. LNCS, vol. 9789, pp. 1–12. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-42089-9_1

    Chapter  Google Scholar 

  2. Auer, S., Lehmann, J., Hellmann, S.: LinkedGeoData: adding a spatial dimension to the web of data. In: Bernstein, A., Karger, D.R., Heath, T., Feigenbaum, L., Maynard, D., Motta, E., Thirunarayan, K. (eds.) ISWC 2009. LNCS, vol. 5823, pp. 731–746. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-04930-9_46

    Chapter  Google Scholar 

  3. Ballatore, A., Bertolotto, M., Wilson, D.C.: Geographic knowledge extraction and semantic similarity in OpenStreetMap. Knowl. Inf. Syst. 37(1), 61–81 (2013)

    Article  Google Scholar 

  4. Ballatore, A., Wilson, D.C., Bertolotto, M.: A survey of volunteered open geo-knowledge bases in the semantic web. In: Pasi, G., Bordogna, G., Jain, L. (eds.) Quality Issues in the Management of Web Information. Intelligent Systems Reference Library, vol. 50, pp. 93–120. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-37688-7_5

    Chapter  Google Scholar 

  5. Codescu, M., Horsinka, G., Kutz, O., Mossakowski, T., Rau, R.: OSMonto-an ontology of OpenStreetMap tags. In: State of the map Europe (SOTM-EU) (2011)

    Google Scholar 

  6. W. W. W. Consortium et al.: JSON-LD 1.0: A JSON-based Serialization for Linked Data (2014)

    Google Scholar 

  7. Hoffart, J., Suchanek, F.M., Berberich, K., Weikum, G.: YAGO2: a spatially and temporally enhanced knowledge base from wikipedia. Artif. Intell. 194, 28–61 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  8. Horita, F.E.A., Degrossi, L.C., de Assis, L.F.G., Zipf, A., de Albuquerque, J.P.: The use of Volunteered Geographic Information (VGI) and crowdsourcing in disaster management: a systematic literature review (2013)

    Google Scholar 

  9. Hu, W., Li, H., Sun, Z., Qian, X., Xue, L., Cao, E., Qu, Y.: Clinga: bringing Chinese physical and human geography in Linked Open Data. In: Groth, P., Simperl, E., Gray, A., Sabou, M., Krötzsch, M., Lecue, F., Flöck, F., Gil, Y. (eds.) ISWC 2016. LNCS, vol. 9982, pp. 104–112. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-46547-0_11

    Chapter  Google Scholar 

  10. Ristoski, P., Bizer, C., Paulheim, H.: Mining the web of linked data with rapidminer. Web Semant. Sci. Serv. Agents World Wide Web 35, 142–151 (2015)

    Article  Google Scholar 

  11. Vilches-Blázquez, L.M., Villazón-Terrazas, B., Saquicela, V., de León, A., Corcho, O., Gómez-Pérez, A.: GeoLinked Data and INSPIRE through an application case. In: Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp. 446–449. ACM (2010)

    Google Scholar 

  12. Zook, M., Graham, M., Shelton, T., Gorman, S.: Volunteered geographic information and crowdsourcing disaster relief: a case study of the Haitian earthquake. World Med. Health Policy 2(2), 7–33 (2010)

    Article  Google Scholar 

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Acknowledgments

This work is funded by the Alibaba-ZJU joint project on e-Business Knowledge Graph and NSFC 61473260/61673338/61672393, and the Klaus Tschira Foundation (KTS) Heidelberg.

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Authors and Affiliations

  1. GIScience, Heidelberg University, Heidelberg, Germany

    Jiaoyan Chen

  2. College of Computer Science, Zhejiang University, Hangzhou, China

    Shumin Deng & Huajun Chen

Authors
  1. Jiaoyan Chen
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  2. Shumin Deng
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  3. Huajun Chen
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Corresponding author

Correspondence to Huajun Chen .

Editor information

Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Juanzi Li

  2. Beijing Xigema Center, Beijing, China

    Ming Zhou

  3. School of Computer Science and Engineering, Southeast University, Nanjing, Jiangsu, China

    Guilin Qi

  4. Google, Mountain View, California, USA

    Ni Lao

  5. East China University of Science and Technology, Shanghai, China

    Tong Ruan

  6. Guangdong University of Foreign Studies, Guangzhou, China

    Jianfeng Du

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Chen, J., Deng, S., Chen, H. (2017). CrowdGeoKG: Crowdsourced Geo-Knowledge Graph. In: Li, J., Zhou, M., Qi, G., Lao, N., Ruan, T., Du, J. (eds) Knowledge Graph and Semantic Computing. Language, Knowledge, and Intelligence. CCKS 2017. Communications in Computer and Information Science, vol 784. Springer, Singapore. https://doi.org/10.1007/978-981-10-7359-5_17

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  • DOI: https://doi.org/10.1007/978-981-10-7359-5_17

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  • Print ISBN: 978-981-10-7358-8

  • Online ISBN: 978-981-10-7359-5

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