{"title":"基于映射本体的语义查询扩展增强框架","authors":"Bazeer Ahamed B, R. Najimaldeen, Y. Duraisamy","doi":"10.1109/CSASE48920.2020.9142093","DOIUrl":null,"url":null,"abstract":"In the present information age, providing correct information to the query with a limited concept is a challenging task. The modern adaptive Information Retrieval (IR) system is needed to provide valid information. Ontology-based on IR can provide a better solution. Ontology is a perception of shared conceptualization, represented by classes, properties, and objects. Ontology mapping offers a solution to integrate inter-domain knowledge. This paper presents a method for using ontologies to handle inter-domain query in information retrieval. Using ontology in IR for Query Expansion (QE) and document ranking seems to be the ultimate goal. The Multi-Domain Specific Ontology Mapping (MDOM) proposes the concepts derived from ontology for query expansion and information retrieval. The result shows the improvement in terms of better document ranking.","PeriodicalId":254581,"journal":{"name":"2020 International Conference on Computer Science and Software Engineering (CSASE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Enhancement Framework of Semantic Query Expansion Using Mapped Ontology\",\"authors\":\"Bazeer Ahamed B, R. Najimaldeen, Y. Duraisamy\",\"doi\":\"10.1109/CSASE48920.2020.9142093\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the present information age, providing correct information to the query with a limited concept is a challenging task. The modern adaptive Information Retrieval (IR) system is needed to provide valid information. Ontology-based on IR can provide a better solution. Ontology is a perception of shared conceptualization, represented by classes, properties, and objects. Ontology mapping offers a solution to integrate inter-domain knowledge. This paper presents a method for using ontologies to handle inter-domain query in information retrieval. Using ontology in IR for Query Expansion (QE) and document ranking seems to be the ultimate goal. The Multi-Domain Specific Ontology Mapping (MDOM) proposes the concepts derived from ontology for query expansion and information retrieval. The result shows the improvement in terms of better document ranking.\",\"PeriodicalId\":254581,\"journal\":{\"name\":\"2020 International Conference on Computer Science and Software Engineering (CSASE)\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Computer Science and Software Engineering (CSASE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSASE48920.2020.9142093\",\"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 International Conference on Computer Science and Software Engineering (CSASE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSASE48920.2020.9142093","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Enhancement Framework of Semantic Query Expansion Using Mapped Ontology
In the present information age, providing correct information to the query with a limited concept is a challenging task. The modern adaptive Information Retrieval (IR) system is needed to provide valid information. Ontology-based on IR can provide a better solution. Ontology is a perception of shared conceptualization, represented by classes, properties, and objects. Ontology mapping offers a solution to integrate inter-domain knowledge. This paper presents a method for using ontologies to handle inter-domain query in information retrieval. Using ontology in IR for Query Expansion (QE) and document ranking seems to be the ultimate goal. The Multi-Domain Specific Ontology Mapping (MDOM) proposes the concepts derived from ontology for query expansion and information retrieval. The result shows the improvement in terms of better document ranking.