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Enterprise Use Cases Combining Knowledge Graphs and Natural Language Processing
April 3, 2024, 4:46 a.m. | Phillip Schneider, Tim Schopf, Juraj Vladika, Florian Matthes
cs.CL updates on arXiv.org arxiv.org
Abstract: Knowledge management is a critical challenge for enterprises in today's digital world, as the volume and complexity of data being generated and collected continue to grow incessantly. Knowledge graphs (KG) emerged as a promising solution to this problem by providing a flexible, scalable, and semantically rich way to organize and make sense of data. This paper builds upon a recent survey of the research literature on combining KGs and Natural Language Processing (NLP). Based on …
abstract and natural language processing arxiv cases challenge complexity cs.cl data digital digital world enterprise enterprises enterprise use cases generated graphs knowledge knowledge graphs language language processing management natural natural language natural language processing processing scalable solution type use cases world
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