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Creating Automatic Connections for Personal Knowledge Management

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The field of Personal Knowledge Management (PKM) has seen a surge in popularity in recent years. Interestingly, Natural Language Processing (NLP) and Large Language Models are also becoming mainstream, but PKM has not seen much integration with NLP. With this motivation, this article first introduces a methodology to automatically interconnect isolated text collections using NLP techniques combined with Knowledge Graphs. The text connections are generated by exploring the semantic relatedness of the texts and the concepts they share. The article proceeds to describe PKM Assistants that incorporate the methodology to assist users in understanding and exploring the knowledge contained in text collections using a Knowledge Management tool called Tana. The article continues with an assessment of the methodology using a text collection composed of several books and book passages collected for each book. Finally, the article concludes with a discussion of the proposed methodology, with special attention to the potential use cases.

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This work was partly funded by FAPERJ under grant E-26/202.818/2017; by CAPES under grants 88881.310592-2018/01, 88881.134081/2016-01, and 88882.164913/2010-01; and by CNPq under grant 302303/2017-0.


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The authors confirm contribution to the paper as follows: study conception and design: Felipe Poggi A. Fraga; analysis and interpretation of results: Felipe Poggi A. Fraga, Marcus Poggi; draft manuscript preparation: Marco A. Casanova, Luiz André P. Paes Leme. All authors reviewed the results and approved the final version of the manuscript.

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Correspondence to Felipe Poggi A. Fraga.

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This article is part of the topical collection “Recent Trends on Enterprise Information Systems” guest edited by Joaquim Filipe, Michał Śmiałek, Alexander Brodsky and Slimane Hammoudi.

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Fraga, F.P.A., Poggi, M., Casanova, M.A. et al. Creating Automatic Connections for Personal Knowledge Management. SN COMPUT. SCI. 5, 525 (2024).

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