J. Thiombiano, Yaya Traoré, Sadouanouan Malo, Patrice Koassa, Oumarou Sié
{"title":"基于本体的资源语义标注:在脑膜炎知识共享平台上的应用","authors":"J. Thiombiano, Yaya Traoré, Sadouanouan Malo, Patrice Koassa, Oumarou Sié","doi":"10.1109/SCCIC51516.2020.9377332","DOIUrl":null,"url":null,"abstract":"Semantic annotation of resources with ontologies plays a decisive role for semantic search, interoperability and data integration. In this paper, we focus on semi-automated web page annotation for a meningitis knowledge sharing platform. This web page annotation refers to the introduction of categories on a page or a set of tags on a page. Thus, we present a semantic web page annotation approach based on the use of an ontology. In this proposal, ontology is used to determine the categories on the web page. Our method extracts the relevant terms called keywords in the page to annotate. Our strategy for identifying the categories focus on ontology's concepts similarity with each keyword. The tags are identified among the keywords that are not mapped to the ontology's concepts. The results of simulation indicate the approach is feasible for practical use in semantic annotation of a new web page.","PeriodicalId":120154,"journal":{"name":"2020 IEEE 2nd International Conference on Smart Cities and Communities (SCCIC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Semantic annotation of resources based on ontologies:application to a knowledge sharing platform on meningitis\",\"authors\":\"J. Thiombiano, Yaya Traoré, Sadouanouan Malo, Patrice Koassa, Oumarou Sié\",\"doi\":\"10.1109/SCCIC51516.2020.9377332\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Semantic annotation of resources with ontologies plays a decisive role for semantic search, interoperability and data integration. In this paper, we focus on semi-automated web page annotation for a meningitis knowledge sharing platform. This web page annotation refers to the introduction of categories on a page or a set of tags on a page. Thus, we present a semantic web page annotation approach based on the use of an ontology. In this proposal, ontology is used to determine the categories on the web page. Our method extracts the relevant terms called keywords in the page to annotate. Our strategy for identifying the categories focus on ontology's concepts similarity with each keyword. The tags are identified among the keywords that are not mapped to the ontology's concepts. The results of simulation indicate the approach is feasible for practical use in semantic annotation of a new web page.\",\"PeriodicalId\":120154,\"journal\":{\"name\":\"2020 IEEE 2nd International Conference on Smart Cities and Communities (SCCIC)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 2nd International Conference on Smart Cities and Communities (SCCIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SCCIC51516.2020.9377332\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 2nd International Conference on Smart Cities and Communities (SCCIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCCIC51516.2020.9377332","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Semantic annotation of resources based on ontologies:application to a knowledge sharing platform on meningitis
Semantic annotation of resources with ontologies plays a decisive role for semantic search, interoperability and data integration. In this paper, we focus on semi-automated web page annotation for a meningitis knowledge sharing platform. This web page annotation refers to the introduction of categories on a page or a set of tags on a page. Thus, we present a semantic web page annotation approach based on the use of an ontology. In this proposal, ontology is used to determine the categories on the web page. Our method extracts the relevant terms called keywords in the page to annotate. Our strategy for identifying the categories focus on ontology's concepts similarity with each keyword. The tags are identified among the keywords that are not mapped to the ontology's concepts. The results of simulation indicate the approach is feasible for practical use in semantic annotation of a new web page.