Modeling experts, knowledge providers and expertise in Materials Modeling: MAEO as an application ontology of EMMO's ecosystem

IF 2.5 4区计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Applied Ontology Pub Date : 2023-08-01 DOI:10.3233/ao-230024

P. D. Nostro, G. Goldbeck, Andrea Pozzi, Daniele Toti

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引用次数: 1

Abstract

This work presents the MarketPlace Agent and Expert Ontology (MAEO), an ontology for modeling experts, expertise, and more broadly, knowledge providers and knowledge seekers for the subject areas of Materials Modeling. MAEO had its inception within the “MarketPlace” European project, whose purpose is to bring about a single entry point for gathering scientific and industrial stakeholders in Materials Modeling. As such, this project aimed to build an online platform where experts and knowledge providers can be searched, found and brought into contact with users, or knowledge seekers, and with one another. MAEO was developed in order to fulfill the requirements of this online platform and thus support it, but is also part of a wider ecosystem of Materials Modeling-related ontologies, at whose core lies the Elementary Multiperspective Material Ontology (EMMO). MAEO is thus an EMMO-compliant application ontology, and has been loosely aligned with a number of existing ontologies, including Friend-Of-A-Friend (FOAF) and five recently-developed EMMO-based domain ontologies for the classification of materials, models, manufacturing processes, characterization methods and software products related to Materials Modeling. Here, a detailed description of the axiomatization of MAEO and its interconnected ontologies is provided, along with results coming from its deployment and experimentation in a StarDog triplestore. Availability. The axiomatization of the ontology is stored in a GitHub repository available at: https://github.com/emmo-repo/MAEO-Ontology, and is published at the following URL: http://emmo.info/emmo/application/maeo/experts.

查看原文本刊更多论文

建模专家、知识提供者和材料建模专业知识:MAEO作为EMMO生态系统的应用本体

这项工作提出了市场代理和专家本体(MAEO)，这是建模专家，专业知识，更广泛地说，是材料建模主题领域的知识提供者和知识寻求者的本体。MAEO在“市场”欧洲项目中开始，其目的是为收集材料建模中的科学和工业利益相关者带来一个单一的入口点。因此，这个项目旨在建立一个在线平台，在这个平台上，专家和知识提供者可以被搜索、发现，并与用户或知识寻求者联系，也可以彼此联系。MAEO的开发是为了满足这个在线平台的需求，从而支持它，但也是一个更广泛的材料建模相关本体生态系统的一部分，其核心是基本多视角材料本体(EMMO)。因此，MAEO是一个符合emmo的应用本体，并与许多现有的本体松散地对齐，包括Friend-Of-A-Friend (FOAF)和五个最近开发的基于emmo的领域本体，用于材料建模相关的材料、模型、制造过程、表征方法和软件产品的分类。在这里，详细描述了MAEO的公理化及其相互关联的本体，以及它在StarDog triplestore中的部署和实验结果。可用性。本体的公理化存储在GitHub存储库中:https://github.com/emmo-repo/MAEO-Ontology，并在以下URL上发布:http://emmo.info/emmo/application/maeo/experts。

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来源期刊

Applied Ontology COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, INFORMATION SYSTEMS

CiteScore

4.80

自引率

30.00%

发文量

审稿时长

>12 weeks

期刊介绍： Applied Ontology focuses on information content in its broadest sense. As the subtitle makes clear, two broad kinds of content-based research activities are envisioned: ontological analysis and conceptual modeling. The former includes any attempt to investigate the nature and structure of a domain of interest using rigorous philosophical or logical tools; the latter concerns the cognitive and linguistic structures we use to model the world, as well as the various analysis tools and methodologies we adopt for producing useful computational models, such as information systems schemes or knowledge structures. Applied Ontology is the first journal with explicit and exclusive focus on ontological analysis and conceptual modeling under an interdisciplinary view. It aims to establish a unique niche in the realm of scientific journals by carefully avoiding unnecessary duplication with discipline-oriented journals. For this reason, authors will be encouraged to use language that will be intelligible also to those outside their specific sector of expertise, and the review process will be tailored to this end. For example, authors of theoretical contributions will be encouraged to show the relevance of their theory for applications, while authors of more technological papers will be encouraged to show the relevance of a well-founded theoretical perspective. Moreover, the journal will publish papers focusing on representation languages or algorithms only where these address relevant content issues, whether at the level of practical application or of theoretical understanding. Similarly, it will publish descriptions of tools or implemented systems only where a contribution to the practice of ontological analysis and conceptual modeling is clearly established.