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.
Originalsprache | Englisch |
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Seiten (von - bis) | 30-31 |
Seitenumfang | 2 |
Fachzeitschrift | ERCIM News - Special Thema Large Language Models |
Issue | 136 |
Publikationsstatus | Veröffentlicht - 30 Jan. 2024 |
Research Field
- Sustainable & Resilient Society