From Research on Data-Intensive Software to Innovation in Data Spaces: A Search Service for Tabular Data

Alberto Berenguer, Olimpia Alcaraz, David Tomas,Jose-Norberto Mazon

IEEE SOFTWARE（2024）

引用 0|浏览0

暂无评分

摘要

We combine the lean startup approach with the last research mile methodology. We outline our journey in creating InferIA to provide lessons learned when research results on tabular data search are transferred as innovative services within a data space context.

查看译文

关键词

Software,Business,Search engines,Metadata,Technology transfer,Companies,Portals

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要