June 6, 2024, 4:52 a.m. | Qiang Sun, Yuanyi Luo, Wenxiao Zhang, Sirui Li, Jichunyang Li, Kai Niu, Xiangrui Kong, Wei Liu

cs.CL updates on arXiv.org arxiv.org

arXiv:2406.02962v1 Announce Type: new
Abstract: Even for a conservative estimate, 80% of enterprise data reside in unstructured files, stored in data lakes that accommodate heterogeneous formats. Classical search engines can no longer meet information seeking needs, especially when the task is to browse and explore for insight formulation. In other words, there are no obvious search keywords to use. Knowledge graphs, due to their natural visual appeals that reduce the human cognitive load, become the winning candidate for heterogeneous data …

abstract arxiv construction cs.ai cs.cl cs.ir data data lakes documents enterprise explore files graph information insight knowledge knowledge graph language language models large language large language models search type unstructured

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