KMS Institute Of Geographic Sciences And Natural Resources Research,CAS
| 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
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| 2018-03-01 | |
| Source Publication | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
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| ISSN | 2220-9964 |
| Volume | 7Issue:3Pages:22 |
| Corresponding Author | Yang, Yaping(yangyp@igsnrr.ac.cn) |
| Abstract | 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-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. |
| Keyword | geographic terminology semantic relatedness thesaurus lexical databases thesaurus-lexical relatedness measure (TLRM) Geospatial Information Retrieval (GIR) |
| DOI | 10.3390/ijgi7030098 |
| WOS Keyword | INTERRATER RELIABILITY ; SIMILARITY ; INFORMATION ; AGREEMENT ; ASSOCIATION ; RETRIEVAL ; CONTEXT ; RATINGS |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | Multidisciplinary 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 Organization | Multidisciplinary 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 Area | Physical Geography ; Remote Sensing |
| WOS Subject | Geography, Physical ; Remote Sensing |
| WOS ID | WOS:000428557700019 |
| Publisher | MDPI |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.igsnrr.ac.cn/handle/311030/54937 |
| Collection | 中国科学院地理科学与资源研究所 |
| Corresponding Author | Yang, Yaping |
| Affiliation | 1.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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