Ontology-Based Knowledge and Belief Management System

基于本体的知识和信念管理系统

• 批准号: 8741969
• 负责人: Mansur R. Kabuka
• 金额: $ 59.4万
• 依托单位: INFOTECH SOFT, INC.
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-25 至 2016-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8741969
• 关键词: Address; Affect; Algorithms; Area; Belief; Biological Sciences; Biology; Biomedical Research; Complex; Computer software; Consult; Data; Data Sources; Databases; Development; Diagnosis; Ecosystem; Ensure; Evaluation; Gene Proteins; Generations; Genetic; Genetic Processes; Genetic Research; Health; Human; Individual; Information Resources Management; Information Systems; Investigation; Knowledge; Link; Medical; Methodology; Methods; Modeling; Molecular Genetics; Ontology; Organism; Ownership; Pathway interactions; Phase; Phenotype; Procedures; Process; Production; Research; Research Infrastructure; Research Personnel; Science; Security; Semantics; Solutions; Staging; System; Techniques; Technology; Testing; Time; Translating; Work; base; biomedical ontology; computer based Semantic Analysis; data modeling; design; empowered; human disease; knowledge base; prototype; repository; sound; systems research

DESCRIPTION (provided by applicant): Dramatic advances in the development of biomedical ontologies hold the promise of a deeper and clearer understanding of the molecular and genetic aspects that affect human health. Biomedical data and knowledge stored in ontologies and databases have the potential to empower researchers in the life sciences to access and find conclusive evidence that can be translated to medical diagnosis and treatment. Enormous effort is being expended to create suites of interoperable ontologies that can encompass the life sciences. However, the extensive knowledge codifications created and curated by the developers of existing ontologies rarely interact with the beliefs and hypotheses postulated by other researchers. This inability to make use of codified and established knowledge hinders the ability of researchers to take advantage of the capabilities afforded by Semantic Web technologies in terms of computational reasoning. In this project, we propose to develop the GeneBel system as a software solution to allow researchers in biology and genetics to postulate hypotheses, and to test and verify these hypotheses against the body of knowledge existing in multiple interconnected ontologies. At the core of the proposed GeneBel system, a belief and hypothesis encoding mechanism permits the creation of hypotheses as belief assertions, an ontology generation and alignment component allows the interconnection of multiple ontologies and data sources, and a process of hypothesis verification finds ontology assertions that either corroborate or contradict hypotheses. In Phase I of the project, the specific belief encoding techniques and underlying reasoning and hypothesis verification methods will be implemented in a prototype solution and tested against a set of predefined research scenarios and hypotheses. During Phase II, the complete GeneBel system will be constructed and evaluated in the execution of real-world hypothesis verification in genetics and biomedical research.

描述（由申请人提供）：生物医学本体论发展的巨大进步使人们对影响人类健康的分子和遗传方面有更深入，更清晰的了解。在本体和数据库中存储的生物医学数据和知识有可能使研究人员在生命科学中的研究人员获得能力，并找到可以将可以转化为医学诊断和治疗的结论性证据。花费了巨大的努力来创建可互操作的本体论的套件，这些套件可以涵盖生命科学。但是，现有本体论的开发商创造和策划的广泛的知识编码很少与其他研究人员假设的信念和假设相互作用。这种无法利用编纂和建立的知识阻碍了研究人员利用语义网络技术在计算推理方面提供的功能的能力。在该项目中，我们建议开发Genebel系统作为软件解决方案，以允许生物学和遗传学领域的研究人员假设假设，并检验和验证这些假设，以针对多个相互联系的本体论中存在的知识体体。在拟议的Genebel系统的核心中，一种信念和假设编码机制允许将假设作为信仰主张的形成，本体论的产生和对齐组件允许多个本体论和数据源的互连，以及假设验证的过程发现了一个本体论的主张，这些主张既腐蚀了或相反。在项目的第一阶段，将在原型解决方案中实施特定的信念编码技术以及基本的推理和假设验证方法，并根据一组预定义的研究场景和假设进行了测试。在II阶段期间，将在遗传学和生物医学研究中的现实假设验证执行中构建和评估完整的基因贝尔系统。