{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T03:53:31Z","timestamp":1760241211527,"version":"build-2065373602"},"reference-count":31,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2019,12,17]],"date-time":"2019-12-17T00:00:00Z","timestamp":1576540800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Key R&amp;D Program of China","award":["2017YFB0503701"],"award-info":[{"award-number":["2017YFB0503701"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>OpenStreetMap (OSM) is a representative volunteered geographic information (VGI) project. However, there have been difficulties in retrieving spatial information from OSM. Ontology is an effective knowledge organization and representation method that is often used to enrich the search capabilities of search systems. This paper constructed an OSM ontology model with semantic property items. A query expansion method is also proposed based on the similarity of properties of the ontology model. Moreover, a relevant experiment is conducted using OSM data related to China. The experimental results demonstrate that the recall and precision of the proposed method reach 80% and 87% for geographic information retrieval, respectively. This study provides a method that can be used as a reference for subsequent research on spatial information retrieval.<\/jats:p>","DOI":"10.3390\/ijgi8120589","type":"journal-article","created":{"date-parts":[[2019,12,20]],"date-time":"2019-12-20T03:19:36Z","timestamp":1576811976000},"page":"589","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Semantic Expansion Model for VGI Retrieval"],"prefix":"10.3390","volume":"8","author":[{"given":"Tao","family":"Sun","sequence":"first","affiliation":[{"name":"School of Resource and Environment Sciences, Wuhan University, Wuhan 430079, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Xia","sequence":"additional","affiliation":[{"name":"Changjiang Spatial Information Technology Engineering CO, LTD, Wuhan 430079, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lin","family":"Li","sequence":"additional","affiliation":[{"name":"School of Resource and Environment Sciences, Wuhan University, Wuhan 430079, China"},{"name":"The Key Laboratory for Geographical Information Systems, Ministry of Education, Wuhan 430079, China"},{"name":"Geo Spatial Information Science Collaborative Innovation Center of Wuhan University, 129 Luoyu Rd.,\r\nWuhan 430079, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hang","family":"Shen","sequence":"additional","affiliation":[{"name":"School of Resource and Environment Sciences, Wuhan University, Wuhan 430079, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Resource and Environment Sciences, Wuhan University, Wuhan 430079, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2019,12,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1157","DOI":"10.1007\/s10916-009-9335-0","article-title":"A geographical information system using the google map api for guidance to referral hospitals","volume":"34","author":"Kobayashi","year":"2009","journal-title":"J. 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