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.
Funding for this research was partially provided by CWI Labs, a wholly-owned subsidiary of the Center for Workforce Inclusion, a national nonprofit organization.
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CWI Labs, Giving Tech Labs, and X4Impact. Limited broadband access as a barrier to economic mobility of older americans knowledge extraction and data analysis (2021). giving.tech/wp-content/uploads/2021/01/CWI-Labs-Giving-Tech-Labs-X4Impact-White-Paper-Limited-Broadband-Access-as-a-Barrier-to-Economic-Mobility-of-Older-Americans.pdf
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Li, Y., Zakhozhyi, V., Fu, Y., He-Yueya, J., Pardeshi, V., Salazar, L.J. (2022). Building Knowledge Base for the Domain of Economic Mobility of Older Workers. In: Nicosia, G., et al. Machine Learning, Optimization, and Data Science. LOD 2021. Lecture Notes in Computer Science(), vol 13164. Springer, Cham. https://doi.org/10.1007/978-3-030-95470-3_19
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