VOCTRACTOR: AI-Powered Vocabulary Design and Keyword Extraction Tool

被引:0
|
作者
Chettakattu, Aradina [1 ]
Havlik, Denis [1 ]
机构
[1] AIT Austrian Inst Technol GmbH, Vienna, Austria
来源
ERCIM NEWS | 2024年 / 136期
关键词
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页码:30 / 31
页数:2
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