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Auflistung nach Autor:in "Tiemann, Michael"

1 - 3 von 3
  • Konferenzbeitrag
    An analysis of Computer Science in OJAs with a dual-lingual ontology approach
    (INFORMATIK 2024, 2024) Tiemann, Michael; Dörpinghaus, Jens; Shivashankar, Venkatesh Hariharapura
    Increasing globalization of the Internet has led to a growing need for the processing of data in multiple languages. This has resulted in a significant increase in the amount of multilingual data available on the web, presenting a significant challenge for accessing, processing, and integrating data from different language sources. An ontology provides a shared and precise source for system interoperability and the reuse of knowledge bases. The objective of this study is to develop an efficient approach for mapping and enriching cross-domain, dual-lingual ontologies. In this case, we will combine the Computer Science Ontology (CSO) and DBpedia. The resulting taxonomy will be analyzed using a German online job advertisement dataset of 3,567,240 records to identify trends in the development and/or requirement of tools in the Computer Science domain. In order to achieve this, we employ a comparative analysis of two distinct approaches: a holistic, hierarchical approach and a precision-driven approach. The former considers the child-parent relation of the ontology, whereas the latter solely identifies those tools directly associated with a topic in the CSO.
  • Konferenzbeitrag
    Comparing a legacy tools taxonomy with digital tools from Computer Science Ontology
    (INFORMATIK 2024, 2024) Tiemann, Michael; Dörpinghaus, Jens; Hariharapura Shivashankar, Venkatesh; Dorau, Ralf
    In 2018, BIBB introduced a legacy tools taxonomy for labor market research which is enhanced utilizing the Computer Science Ontology (CSO) and dual-language translation to incorporate additional information. The main research question is if it is feasible to enrich or rebuild an existing taxonomy on the basis of CSO. This poster presents a novel approach to enrich the CSO with data from DBpedia, creating a dual-language ontology enriched with tools and entities. This includes an ML-based approach to identify tools and compares the results with the legacy work tools taxonomy to identify the gaps.
  • Konferenzbeitrag
    What social media can tell us about essential occupations
    (INFORMATIK 2023 - Designing Futures: Zukünfte gestalten, 2023) Tiemann, Michael; Udelhofen, Stefan; Fournier, Lisa
    Societal debates about essential occupations in the context of the pandemic have raised questions about the valuation of occupational tasks. In a first step we compare two lists of essential occupations, one from the start, the other from the end of the pandemic, to describe differences in their valuation based on characteristics such as wages, prestige and workload. Between these lists it becomes apparent that there has been a broadening shift, with essential occupations at the end of the pandemic being different to what they were at the beginning. This is based on data from the BIBB/BAuA Employment Survey 2018. We then investigate the use of twitter data for generating insights on how the valuation of occupations were discussed and changed during the pandemic and thus helped leverage said shift in essential occupations.