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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2312.13423 |
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| _version_ | 1866917635775528960 |
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| author | Kartal, Yavuz Selim Shahid, Muhammad Ahsan Takeshita, Sotaro Tsereteli, Tornike Zielinski, Andrea Zapilko, Benjamin Mayr, Philipp |
| author_facet | Kartal, Yavuz Selim Shahid, Muhammad Ahsan Takeshita, Sotaro Tsereteli, Tornike Zielinski, Andrea Zapilko, Benjamin Mayr, Philipp |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2312_13423 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | VADIS -- a VAriable Detection, Interlinking and Summarization system Kartal, Yavuz Selim Shahid, Muhammad Ahsan Takeshita, Sotaro Tsereteli, Tornike Zielinski, Andrea Zapilko, Benjamin Mayr, Philipp Digital Libraries Computation and Language Information Retrieval 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. |
| title | VADIS -- a VAriable Detection, Interlinking and Summarization system |
| topic | Digital Libraries Computation and Language Information Retrieval |
| url | https://arxiv.org/abs/2312.13423 |