ASK-DBLP: Answering Questions over DBLP
Abstract: the DBLP KG schema. Therefore, we implement a baseline following the approach in ASK-DBLP [ Then, we randomly select 5,000 SPARQLs with their associated answers and queries.
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@inproceedings{DBLP:conf/semweb/TaffaNOWABU25,
author = {Tilahun Abedissa Taffa and
Patrick Neises and
Stefan Ollinger and
Patrick Westphal and
Marcel R. Ackermann and
Debayan Banerjee and
Ricardo Usbeck},
editor = {Irene Celino and
Oktie Hassanzadeh and
Abraham Bernstein and
Natasha F. Noy and
Gong Cheng and
Shenghui Wang and
Sebasti{\'{a}}n Ferrada and
Thibaut Soulard and
Kouji Kozaki and
Hideaki Takeda and
Anna Lisa Gentile},
title = {{ASK-DBLP:} Answering Questions over {DBLP}},
booktitle = {Joint Proceedings of Industry, Doctoral Consortium, Posters and Demos
of the 24th International Semantic Web Conference {(ISWC-C} 2025),
Nara, Japan, November 2-6, 2025},
series = {{CEUR} Workshop Proceedings},
volume = {4085},
pages = {455--461},
publisher = {CEUR-WS.org},
year = {2025},
url = {https://ceur-ws.org/Vol-4085/paper76.pdf},
timestamp = {Thu, 13 Nov 2025 16:32:27 +0100},
biburl = {https://dblp.org/rec/conf/semweb/TaffaNOWABU25.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}