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An Approach to Measuring Semantic Relatedness of Geographic Terminologies Using a Thesaurus and Lexical Database Sources
Chen, Zugang1,2,3; Song, Jia1,2; Yang, Yaping1,2,4
2018-03-01
Source PublicationISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
ISSN2220-9964
Volume7Issue:3Pages:22
Corresponding AuthorYang, Yaping(yangyp@igsnrr.ac.cn)
AbstractIn 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-lexical 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.
Keywordgeographic terminology semantic relatedness thesaurus lexical databases thesaurus-lexical relatedness measure (TLRM) Geospatial Information Retrieval (GIR)
DOI10.3390/ijgi7030098
WOS KeywordINTERRATER RELIABILITY ; SIMILARITY ; INFORMATION ; AGREEMENT ; ASSOCIATION ; RETRIEVAL ; CONTEXT ; RATINGS
Indexed BySCI
Language英语
Funding ProjectMultidisciplinary Joint Expedition For China-Mongolia-Russia Economic Corridor[2017FY101300] ; Branch Center Project of Geography, Resources and Ecology of Knowledge Center for Chinese Engineering Sciences and Technology[CKCEST-2017-1-8] ; National Earth System Science Data Sharing Infrastructure[2005DKA32300] ; Construction Project of Ecological Risk Assessment and Basic Geographic Information Database of International Economic Corridor Across China, Mongolia and Russia[131A11KYSB20160091] ; National Natural Science Foundation of China[41631177]
Funding OrganizationMultidisciplinary Joint Expedition For China-Mongolia-Russia Economic Corridor ; Branch Center Project of Geography, Resources and Ecology of Knowledge Center for Chinese Engineering Sciences and Technology ; National Earth System Science Data Sharing Infrastructure ; Construction Project of Ecological Risk Assessment and Basic Geographic Information Database of International Economic Corridor Across China, Mongolia and Russia ; National Natural Science Foundation of China
WOS Research AreaPhysical Geography ; Remote Sensing
WOS SubjectGeography, Physical ; Remote Sensing
WOS IDWOS:000428557700019
PublisherMDPI
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Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/54937
Collection中国科学院地理科学与资源研究所
Corresponding AuthorYang, Yaping
Affiliation1.State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
Recommended Citation
GB/T 7714
Chen, Zugang,Song, Jia,Yang, Yaping. An Approach to Measuring Semantic Relatedness of Geographic Terminologies Using a Thesaurus and Lexical Database Sources[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2018,7(3):22.
APA Chen, Zugang,Song, Jia,&Yang, Yaping.(2018).An Approach to Measuring Semantic Relatedness of Geographic Terminologies Using a Thesaurus and Lexical Database Sources.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,7(3),22.
MLA Chen, Zugang,et al."An Approach to Measuring Semantic Relatedness of Geographic Terminologies Using a Thesaurus and Lexical Database Sources".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 7.3(2018):22.
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