Discovery of ontologies from implicit user knowledge

Haller D, Lenz R (2020)


Publication Type: Conference contribution

Publication year: 2020

Publisher: CEUR-WS

Book Volume: 2738

Pages Range: 241-245

Conference Proceedings Title: CEUR Workshop Proceedings

Abstract

The purpose of the Semantic Web is to enable worldwide access to humanity's knowledge in a machine-processable way. A major obstacle to this has been that knowledge is often either represented in an incoherent way, or not externalized at all and only present in people's minds. Populating a knowledge graph and manually building an ontology by a domain expert is tedious work, requiring great initial effort until the result can be used. As a consequence, knowledge will often never be made available to the Semantic Web. The aim of this project is to develop a new approach for building ontologies from implicit user knowledge that is already present, but hidden in various artifacts like SQL query logs or application usage patterns.

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APA:

Haller, D., & Lenz, R. (2020). Discovery of ontologies from implicit user knowledge. In Daniel Trabold, Pascal Welke, Nico Piatkowski (Eds.), CEUR Workshop Proceedings (pp. 241-245). CEUR-WS.

MLA:

Haller, David, and Richard Lenz. "Discovery of ontologies from implicit user knowledge." Proceedings of the 2020 Conference "Learning, Knowledge, Data, Analytics", LWDA 2020 Ed. Daniel Trabold, Pascal Welke, Nico Piatkowski, CEUR-WS, 2020. 241-245.

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