VADIS -- a VAriable Detection, Interlinking and Summarization system

Autor:	Kartal, Yavuz Selim, Shahid, Muhammad Ahsan, Takeshita, Sotaro, Tsereteli, Tornike, Zielinski, Andrea, Zapilko, Benjamin, Mayr, Philipp
Rok vydání:	2023
Předmět:	Computer Science - Digital Libraries Computer Science - Computation and Language Computer Science - Information Retrieval
Zdroj:	ECIR 2024 proceedings
Druh dokumentu:	Working Paper
DOI:	10.1007/978-3-031-56069-9_22
Popis:	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. Comment: It is 4 pages and 2 figures. This paper has recently been accepted by ECIR 2024 Demo Track and this version is the camera-ready version of the paper
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2312.13423 Zobrazit plný text záznamu View this record from Arxiv