Towards a German labor market ontology: Challenges and applications

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

Applied Ontology Pub Date : 2023-11-27 DOI:10.3233/ao-230027

Jens Dörpinghaus, Johanna Binnewitt, Stefan Winnige, Kristine Hein, Kai Krüger

引用次数: 0

Abstract

The labor market is an area with diverse data structures and multiple applications, such as matching job seekers with the right training or job. For this reason, the multilingual classification of European Skills, Competences, Qualifications and Occupations (ESCO) is a good example of the central role of ontologies in this area. However, ESCO cannot provide all the details of local labor market needs and does not provide links to other hierarchies of competences. For example, other taxonomies of occupations and skills are widely used in German-speaking countries, but they are not in a state where they are easily accessible for interoperability and reasoning. In this paper, we present a first version of a German Labor Market Ontology (GLMO) that uses ESCO as a top-level ontology for the target domain. This makes it highly interoperable and comparable to existing ontologies by providing details for the regional structures in German-speaking countries. In addition, we present a detailed evaluation of the provided data and applications, as well as an extensive discussion of future work.

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建立德国劳动力市场本体论：挑战与应用

劳动力市场是一个拥有多样化数据结构和多种应用的领域，例如为求职者匹配合适的培训或工作。因此，欧洲技能、能力、资格和职业（ESCO）的多语言分类是本体在该领域发挥核心作用的一个很好的例子。然而，ESCO 无法提供当地劳动力市场需求的所有细节，也没有提供与其他能力等级的链接。例如，德语国家广泛使用其他职业和技能分类法，但这些分类法并不便于互操作和推理。在本文中，我们介绍了德国劳动力市场本体论（GLMO）的第一个版本，该本体论使用 ESCO 作为目标领域的顶级本体论。通过提供德语国家地区结构的详细信息，该本体具有高度的互操作性，并可与现有本体进行比较。此外，我们还对所提供的数据和应用进行了详细评估，并对未来工作进行了广泛讨论。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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.