{"title":"CODE(公共本体开发):一种来自多个本体的知识集成方法","authors":"Dhomas Hatta Fudholi, J. Rahayu, E. Pardede","doi":"10.1109/AINA.2014.92","DOIUrl":null,"url":null,"abstract":"Ontology is used widely as a knowledge representation form. In the recent years, there is substantial growth of ontology utilization and development in different application domains that requires standardization and semantic interoperability. The increasing number in ontology development leads to overlapping in domain ontologies. Our approach called CODE (Common Ontology Development) is created to address the need for knowledge integration and reuse from distributed knowledge across multiple underlying ontologies. CODE is fully automated and it is a complete framework that aims to preserve source ontology knowledge. It uses natural language processing and scenario-based rules to ensure the accuracy of the integration mechanism. In addition, CODE can be used to merge more than two ontologies at the same time. To evaluate knowledge preservation and correctness in the proposed approach, SPARQL queries are used on the new integrated ontology and the results are verified against the source ontologies.","PeriodicalId":316052,"journal":{"name":"2014 IEEE 28th International Conference on Advanced Information Networking and Applications","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"CODE (Common Ontology DEvelopment): A Knowledge Integration Approach from Multiple Ontologies\",\"authors\":\"Dhomas Hatta Fudholi, J. Rahayu, E. Pardede\",\"doi\":\"10.1109/AINA.2014.92\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ontology is used widely as a knowledge representation form. In the recent years, there is substantial growth of ontology utilization and development in different application domains that requires standardization and semantic interoperability. The increasing number in ontology development leads to overlapping in domain ontologies. Our approach called CODE (Common Ontology Development) is created to address the need for knowledge integration and reuse from distributed knowledge across multiple underlying ontologies. CODE is fully automated and it is a complete framework that aims to preserve source ontology knowledge. It uses natural language processing and scenario-based rules to ensure the accuracy of the integration mechanism. In addition, CODE can be used to merge more than two ontologies at the same time. To evaluate knowledge preservation and correctness in the proposed approach, SPARQL queries are used on the new integrated ontology and the results are verified against the source ontologies.\",\"PeriodicalId\":316052,\"journal\":{\"name\":\"2014 IEEE 28th International Conference on Advanced Information Networking and Applications\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 28th International Conference on Advanced Information Networking and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AINA.2014.92\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 28th International Conference on Advanced Information Networking and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AINA.2014.92","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
CODE (Common Ontology DEvelopment): A Knowledge Integration Approach from Multiple Ontologies
Ontology is used widely as a knowledge representation form. In the recent years, there is substantial growth of ontology utilization and development in different application domains that requires standardization and semantic interoperability. The increasing number in ontology development leads to overlapping in domain ontologies. Our approach called CODE (Common Ontology Development) is created to address the need for knowledge integration and reuse from distributed knowledge across multiple underlying ontologies. CODE is fully automated and it is a complete framework that aims to preserve source ontology knowledge. It uses natural language processing and scenario-based rules to ensure the accuracy of the integration mechanism. In addition, CODE can be used to merge more than two ontologies at the same time. To evaluate knowledge preservation and correctness in the proposed approach, SPARQL queries are used on the new integrated ontology and the results are verified against the source ontologies.