DBLPLink 2.0 - An Entity Linker for the DBLP Scholarly Knowledge Graph

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DBLPLink 2.0 - An Entity Linker for the DBLP Scholarly Knowledge Graph. / Banerjee, Debayan; Taffa, Tilahun Abedissa; Usbeck, Ricardo.
In: CEUR Workshop Proceedings, Vol. 4085, 2025.

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@article{dcb48b8262554586a4be8e8908441c51,
title = "DBLPLink 2.0 - An Entity Linker for the DBLP Scholarly Knowledge Graph",
abstract = "In this work we present an entity linker for DBLP{\textquoteright}s 2025 version of RDF-based Knowledge Graph. Compared to the 2022 version, DBLP now considers publication venues as a new entity type called dblp:Stream. In the earlier version of DBLPLink, we trained KG-embeddings and re-rankers on a dataset to produce entity linkings. In contrast, in this work, we develop a zero-shot entity linker using LLMs using a novel method, where we re-rank candidate entities based on the log-probabilities of the {"}yes{"} token output at the penultimate layer of the LLM. The demo can be accessed at https://dblplink-2.skynet.coypu.org/.",
keywords = "DBLP, Entity Linker, Knowledge Graphs, LLM",
author = "Debayan Banerjee and Taffa, {Tilahun Abedissa} and Ricardo Usbeck",
note = "Publisher Copyright: {\textcopyright} 2025 Copyright for this paper by its authors.; 24th International Semantic Web Conference, ISWC-C 2025 ; Conference date: 02-11-2025 Through 06-11-2025",
year = "2025",
language = "English",
volume = "4085",
journal = "CEUR Workshop Proceedings",
issn = "1613-0073",
publisher = "CEUR-WS",

}

RIS

TY - JOUR

T1 - DBLPLink 2.0 - An Entity Linker for the DBLP Scholarly Knowledge Graph

AU - Banerjee, Debayan

AU - Taffa, Tilahun Abedissa

AU - Usbeck, Ricardo

N1 - Publisher Copyright: © 2025 Copyright for this paper by its authors.

PY - 2025

Y1 - 2025

N2 - In this work we present an entity linker for DBLP’s 2025 version of RDF-based Knowledge Graph. Compared to the 2022 version, DBLP now considers publication venues as a new entity type called dblp:Stream. In the earlier version of DBLPLink, we trained KG-embeddings and re-rankers on a dataset to produce entity linkings. In contrast, in this work, we develop a zero-shot entity linker using LLMs using a novel method, where we re-rank candidate entities based on the log-probabilities of the "yes" token output at the penultimate layer of the LLM. The demo can be accessed at https://dblplink-2.skynet.coypu.org/.

AB - In this work we present an entity linker for DBLP’s 2025 version of RDF-based Knowledge Graph. Compared to the 2022 version, DBLP now considers publication venues as a new entity type called dblp:Stream. In the earlier version of DBLPLink, we trained KG-embeddings and re-rankers on a dataset to produce entity linkings. In contrast, in this work, we develop a zero-shot entity linker using LLMs using a novel method, where we re-rank candidate entities based on the log-probabilities of the "yes" token output at the penultimate layer of the LLM. The demo can be accessed at https://dblplink-2.skynet.coypu.org/.

KW - DBLP

KW - Entity Linker

KW - Knowledge Graphs

KW - LLM

UR - http://www.scopus.com/inward/record.url?scp=105022460834&partnerID=8YFLogxK

M3 - Conference article in journal

AN - SCOPUS:105022460834

VL - 4085

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

SN - 1613-0073

T2 - 24th International Semantic Web Conference, ISWC-C 2025

Y2 - 2 November 2025 through 6 November 2025

ER -