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Building Knowledge Base for the Domain of Economic Mobility of Older Workers

MACHINE LEARNING, OPTIMIZATION, AND DATA SCIENCE (LOD 2021), PT II(2022)

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Abstract
This paper presents the work of building a knowledge base for the domain of economic mobility for older workers. To extract high-quality entities and relations that are important to the specific domain, domain specificity scores for entities and relations are designed and applied. To assist human-in-the-loop ontology construction, a novel topic modeling method, named "description guided topic modeling", is developed. It clusters domain entities based on their embedding and organizes those clusters according to descriptions of potential topics important to the domain. To demonstrate feasibility, these methods are applied to a collection of knowledge sources related to economic mobility for older workers. These methods are further tested through a case study on one specific barrier for economic mobility, i.e., limited broadband access for older workers, to show the potential of these methods.
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Key words
Knowledge base, Domain specific lexicon, Knowledge graph, Social impact, Ontology, Economic mobility, Older workers
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