{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T14:45:57Z","timestamp":1776264357380,"version":"3.50.1"},"reference-count":67,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2018,3,13]],"date-time":"2018-03-13T00:00:00Z","timestamp":1520899200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the Branch Center Project of Geography, Resources and Ecology of Knowledge Center for Chinese Engineering Sciences and Technology","award":["CKCEST-2017-1-8"],"award-info":[{"award-number":["CKCEST-2017-1-8"]}]},{"name":"the National Earth System Science Data Sharing Infrastructure","award":["2005DKA32300"],"award-info":[{"award-number":["2005DKA32300"]}]},{"name":"the Multidisciplinary Joint Scientific Expedition Project in International Economic Corridor Across China, Mongolia and Russia","award":["2017FY101300"],"award-info":[{"award-number":["2017FY101300"]}]},{"name":"Construction Project of Ecological Risk Assessment and Basic Geographic Information Database of International Economic Corridor Across China, Mongolia and Russia","award":["131A11KYSB20160091"],"award-info":[{"award-number":["131A11KYSB20160091"]}]},{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41631177"],"award-info":[{"award-number":["41631177"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>In geographic information science, semantic relatedness is important for Geographic Information Retrieval (GIR), Linked Geospatial Data, geoparsing, and geo-semantics. But computing the semantic similarity\/relatedness of geographic terminology is still an urgent issue to tackle. The thesaurus is a ubiquitous and sophisticated knowledge representation tool existing in various domains. In this article, we combined the generic lexical database (WordNet or HowNet) with the Thesaurus for Geographic Science and proposed a thesaurus\u2013lexical relatedness measure (TLRM) to compute the semantic relatedness of geographic terminology. This measure quantified the relationship between terminologies, interlinked the discrete term trees by using the generic lexical database, and realized the semantic relatedness computation of any two terminologies in the thesaurus. The TLRM was evaluated on a new relatedness baseline, namely, the Geo-Terminology Relatedness Dataset (GTRD) which was built by us, and the TLRM obtained a relatively high cognitive plausibility. Finally, we applied the TLRM on a geospatial data sharing portal to support data retrieval. The application results of the 30 most frequently used queries of the portal demonstrated that using TLRM could improve the recall of geospatial data retrieval in most situations and rank the retrieval results by the matching scores between the query of users and the geospatial dataset.<\/jats:p>","DOI":"10.3390\/ijgi7030098","type":"journal-article","created":{"date-parts":[[2018,3,13]],"date-time":"2018-03-13T13:37:21Z","timestamp":1520948241000},"page":"98","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["An Approach to Measuring Semantic Relatedness of Geographic Terminologies Using a Thesaurus and Lexical Database Sources"],"prefix":"10.3390","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7782-9488","authenticated-orcid":false,"given":"Zugang","family":"Chen","sequence":"first","affiliation":[{"name":"State Key Laboratory of Resources and Environmental Information System, Beijing 100101, China"},{"name":"Institute of Geographic Sciences and Natural Resources research, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9051-1925","authenticated-orcid":false,"given":"Jia","family":"Song","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Resources and Environmental Information System, Beijing 100101, China"},{"name":"Institute of Geographic Sciences and Natural Resources research, Chinese Academy of Sciences, Beijing 100101, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yaping","family":"Yang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Resources and Environmental Information System, Beijing 100101, China"},{"name":"Institute of Geographic Sciences and Natural Resources research, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2018,3,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1109\/21.24528","article-title":"Development and application of a metric on semantic nets","volume":"19","author":"Rada","year":"1989","journal-title":"IEEE Trans. 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