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Abstract
Building and using a common terminology is of great importance for all collaborative work. On the other hand, well implemented tagging of documents by several “orthogonal” vocabularies provides a concise representation of context and topics of a textual data, which facilitates search and retrieval, as well as automated matching of “similar” documents in knowledge management systems. Manually finding relevant keywords for documents is a daunting task, time-consuming and prone to errors. Our “Voctractor” (from “Vocabulary Extractor”) application prototype [L1] addresses this challenge by streamlining both the vocabulary design and the keyword extraction workflow.
| Original language | English |
|---|---|
| Pages (from-to) | 30-31 |
| Number of pages | 2 |
| Journal | ERCIM News - Special Thema Large Language Models |
| Issue number | 136 |
| Publication status | Published - 30 Jan 2024 |
Research Field
- Sustainable & Resilient Society
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Dive into the research topics of 'VOCTRACTOR: AI-Powered Vocabulary Design and Keyword Extraction Tool'. Together they form a unique fingerprint.Activities
- 1 Presentation at a scientific conference / workshop
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GenAI assisted knowledge generation and management
Havlik, D. (Speaker) & Pabst, A. (Speaker)
18 Jun 2025Activity: Talk or presentation / Lecture › Presentation at a scientific conference / workshop
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