{"title":"基于本体的语义相似度度量方法研究","authors":"Yin Guisheng, Sheng Qiuyan","doi":"10.1109/ICICSE.2008.42","DOIUrl":null,"url":null,"abstract":"Ontology is an explicit specification of a conceptualization on semantic and knowledge. This paper presents a formal definition on ontology and gives an example. Then, a method to measuring semantic similarity is presented. Semantic similarity is divided into concept similarity and description similarity. A calculation of semantic similarity between concepts in ontology is presented by the hierarchy of ontology concepts. To make the calculation of semantic similarity between concepts more similar to human's subjective judgment, semantic similarity is divided into concept similarity and description similarity; the final semantic similarity is produced by merging concept similarity and description similarity. Finally, the optimized parameter settings are gained through the experiment results.","PeriodicalId":333889,"journal":{"name":"2008 International Conference on Internet Computing in Science and Engineering","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"Research on Ontology-Based Measuring Semantic Similarity\",\"authors\":\"Yin Guisheng, Sheng Qiuyan\",\"doi\":\"10.1109/ICICSE.2008.42\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ontology is an explicit specification of a conceptualization on semantic and knowledge. This paper presents a formal definition on ontology and gives an example. Then, a method to measuring semantic similarity is presented. Semantic similarity is divided into concept similarity and description similarity. A calculation of semantic similarity between concepts in ontology is presented by the hierarchy of ontology concepts. To make the calculation of semantic similarity between concepts more similar to human's subjective judgment, semantic similarity is divided into concept similarity and description similarity; the final semantic similarity is produced by merging concept similarity and description similarity. Finally, the optimized parameter settings are gained through the experiment results.\",\"PeriodicalId\":333889,\"journal\":{\"name\":\"2008 International Conference on Internet Computing in Science and Engineering\",\"volume\":\"76 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-01-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 International Conference on Internet Computing in Science and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICSE.2008.42\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Conference on Internet Computing in Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICSE.2008.42","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Ontology-Based Measuring Semantic Similarity
Ontology is an explicit specification of a conceptualization on semantic and knowledge. This paper presents a formal definition on ontology and gives an example. Then, a method to measuring semantic similarity is presented. Semantic similarity is divided into concept similarity and description similarity. A calculation of semantic similarity between concepts in ontology is presented by the hierarchy of ontology concepts. To make the calculation of semantic similarity between concepts more similar to human's subjective judgment, semantic similarity is divided into concept similarity and description similarity; the final semantic similarity is produced by merging concept similarity and description similarity. Finally, the optimized parameter settings are gained through the experiment results.