{"title":"阿尔茨海默病集成本体(ADIO)","authors":"Nora Shoaip, S. Barakat, Mohammed M Elmogy","doi":"10.1109/ICCES48960.2019.9068176","DOIUrl":null,"url":null,"abstract":"In the near future, the elderly will occupy nearly a quarter of the world's population. Such a percentage poses a significant challenge to face diseases related to this age, including Alzheimer's disease (AD), which is responsible for the destruction of brain cells and memory. This paper is our first step toward comprehensive research in the Alzheimer management system. It related to AD knowledge structures and semantic reasoning by using ontology. There is a necessary need to coordinate strategies that reuse existing ontology to support and enhance knowledge resources around the world. So we aim to reuse existing ontology and ensure comprehensive integration between them to improve the accuracy of reasoning. We propose Alzheimer's Disease Integrated Ontology (ADIO) that is intended to integrate two important biomedical ontologies for AD researches (i) Alzheimer's disease ontology (ADO) and (ii) AD Map Ontology (ADMO). ADO was described in OWL format and related to clinical, preclinical, experimental, and molecular mechanisms. ADMO represents the complexity of AD pathophysiology and more specific for the description of biological systems. So ADO and ADMO are relevant complements with each other, and their integration can increase the satisfaction of AD knowledge resources. As a result, HermiT 1.4.3.456 reasoner in Protégé provides checking of AD I 0 consistency, and the results of DLQuery show that ADIO is reliable and effective.","PeriodicalId":136643,"journal":{"name":"2019 14th International Conference on Computer Engineering and Systems (ICCES)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Alzheimer's Disease Integrated Ontology (ADIO)\",\"authors\":\"Nora Shoaip, S. Barakat, Mohammed M Elmogy\",\"doi\":\"10.1109/ICCES48960.2019.9068176\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the near future, the elderly will occupy nearly a quarter of the world's population. Such a percentage poses a significant challenge to face diseases related to this age, including Alzheimer's disease (AD), which is responsible for the destruction of brain cells and memory. This paper is our first step toward comprehensive research in the Alzheimer management system. It related to AD knowledge structures and semantic reasoning by using ontology. There is a necessary need to coordinate strategies that reuse existing ontology to support and enhance knowledge resources around the world. So we aim to reuse existing ontology and ensure comprehensive integration between them to improve the accuracy of reasoning. We propose Alzheimer's Disease Integrated Ontology (ADIO) that is intended to integrate two important biomedical ontologies for AD researches (i) Alzheimer's disease ontology (ADO) and (ii) AD Map Ontology (ADMO). ADO was described in OWL format and related to clinical, preclinical, experimental, and molecular mechanisms. ADMO represents the complexity of AD pathophysiology and more specific for the description of biological systems. So ADO and ADMO are relevant complements with each other, and their integration can increase the satisfaction of AD knowledge resources. As a result, HermiT 1.4.3.456 reasoner in Protégé provides checking of AD I 0 consistency, and the results of DLQuery show that ADIO is reliable and effective.\",\"PeriodicalId\":136643,\"journal\":{\"name\":\"2019 14th International Conference on Computer Engineering and Systems (ICCES)\",\"volume\":\"112 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 14th International Conference on Computer Engineering and Systems (ICCES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCES48960.2019.9068176\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 14th International Conference on Computer Engineering and Systems (ICCES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCES48960.2019.9068176","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In the near future, the elderly will occupy nearly a quarter of the world's population. Such a percentage poses a significant challenge to face diseases related to this age, including Alzheimer's disease (AD), which is responsible for the destruction of brain cells and memory. This paper is our first step toward comprehensive research in the Alzheimer management system. It related to AD knowledge structures and semantic reasoning by using ontology. There is a necessary need to coordinate strategies that reuse existing ontology to support and enhance knowledge resources around the world. So we aim to reuse existing ontology and ensure comprehensive integration between them to improve the accuracy of reasoning. We propose Alzheimer's Disease Integrated Ontology (ADIO) that is intended to integrate two important biomedical ontologies for AD researches (i) Alzheimer's disease ontology (ADO) and (ii) AD Map Ontology (ADMO). ADO was described in OWL format and related to clinical, preclinical, experimental, and molecular mechanisms. ADMO represents the complexity of AD pathophysiology and more specific for the description of biological systems. So ADO and ADMO are relevant complements with each other, and their integration can increase the satisfaction of AD knowledge resources. As a result, HermiT 1.4.3.456 reasoner in Protégé provides checking of AD I 0 consistency, and the results of DLQuery show that ADIO is reliable and effective.