VADIS -- a VAriable Detection, Interlinking and Summarization system
Yavuz Selim Kartal, Muhammad Ahsan Shahid, Sotaro Takeshita, Tornike Tsereteli, Andrea Zielinski, Benjamin Zapilko, Philipp Mayr
arXiv:2312.13423v11 citationsh-index: 11ECIR
Originality Synthesis-oriented
AI Analysis
This addresses the need for better information access for social science researchers, but it appears incremental as it builds on existing linking and summarization techniques.
The VADIS system tackles the problem of limited information access in social sciences by enabling users to search and use survey variables in the context of interlinked research data and scholarly publications, resulting in enhanced information retrieval capabilities.
The VADIS system addresses the demand of providing enhanced information access in the domain of the social sciences. This is achieved by allowing users to search and use survey variables in context of their underlying research data and scholarly publications which have been interlinked with each other.