Alzheimer's Disease Integrated Ontology (ADIO)

2019 14th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2019-12-01 DOI:10.1109/ICCES48960.2019.9068176

Nora Shoaip, S. Barakat, Mohammed M Elmogy

{"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":null,"pages":null},"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}

引用次数: 5

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.

查看原文本刊更多论文

阿尔茨海默病集成本体(ADIO)

在不久的将来，老年人将占世界人口的近四分之一。这一比例对面对与这个年龄相关的疾病构成了重大挑战，包括导致脑细胞和记忆破坏的阿尔茨海默病(AD)。本文是我们对老年痴呆症管理系统进行全面研究的第一步。利用本体对AD知识结构和语义推理进行了关联。有必要协调重用现有本体的策略，以支持和增强世界各地的知识资源。因此，我们的目标是重用现有的本体，并确保它们之间的全面集成，以提高推理的准确性。我们提出了阿尔茨海默病集成本体(ADIO)，旨在整合两种重要的生物医学本体(1)阿尔茨海默病本体(ADO)和(2)阿尔茨海默病地图本体(ADMO)。ADO以OWL格式描述，涉及临床、临床前、实验和分子机制。ADMO代表了AD病理生理的复杂性，对生物系统的描述更具特异性。因此，ADO与ADMO是相辅相成的，它们的整合可以提高AD知识资源的满意度。因此，protesamuise中的HermiT 1.4.4.456推理器提供了ADI 0一致性的检查，DLQuery的结果表明ADIO是可靠有效的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2019 14th International Conference on Computer Engineering and Systems (ICCES)

自引率

0.00%

发文量