IRI_Debug: An Ontology Evaluation Tool

IF 2 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE New Generation Computing Pub Date : 2024-03-12 DOI:10.1007/s00354-024-00246-5
Vishal Lama, Archana Patel, Narayan C. Debnath, Sarika Jain
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Abstract

We use ontology to capture the knowledge about domains. There are considerable number of ontologies which have been developed. To develop a new ontology, we use the existing concepts of the ontologies according to the domain needs. The reusability of the concept maintains shareability of knowledge across the domains and prevents multiple interpretation of the defined concept. An Internationalized Resource Identifier (IRI) of the concept is used to connect the various concepts with each other. This work aims to provide an IRI-Debug tool that enables the ontologist to validate their crafted ontology against the standard ontologies using IRI and gauging to what extent their ontology’s concepts or properties, if reused, compliant to the standard ontologies. This tool allows user to select a desired appropriate ontology from the available ontologies and validate the developed ontology with respect to standard ontologies.

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IRI_Debug:本体评估工具
我们使用本体来捕捉有关领域的知识。目前已经开发了相当多的本体。为了开发新的本体,我们根据领域需求使用本体中的现有概念。概念的可重用性保持了跨领域知识的可共享性,并防止了对已定义概念的多重解释。概念的国际化资源标识符(IRI)用于将各种概念相互连接起来。这项工作旨在提供一种 IRI 调试工具,使本体论学家能够使用 IRI 根据标准本体论验证他们精心设计的本体论,并衡量他们的本体论概念或属性(如果重复使用)在多大程度上符合标准本体论。该工具允许用户从现有本体中选择所需的适当本体,并根据标准本体验证所开发的本体。
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来源期刊
New Generation Computing
New Generation Computing 工程技术-计算机:理论方法
CiteScore
5.90
自引率
15.40%
发文量
47
审稿时长
>12 weeks
期刊介绍: The journal is specially intended to support the development of new computational and cognitive paradigms stemming from the cross-fertilization of various research fields. These fields include, but are not limited to, programming (logic, constraint, functional, object-oriented), distributed/parallel computing, knowledge-based systems, agent-oriented systems, and cognitive aspects of human embodied knowledge. It also encourages theoretical and/or practical papers concerning all types of learning, knowledge discovery, evolutionary mechanisms, human cognition and learning, and emergent systems that can lead to key technologies enabling us to build more complex and intelligent systems. The editorial board hopes that New Generation Computing will work as a catalyst among active researchers with broad interests by ensuring a smooth publication process.
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