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A Testbed for Dual-Entity Knowledge Panels
Martin, Leon; Henrich, Andreas (2023): A Testbed for Dual-Entity Knowledge Panels, in: CEUR Workshop Proceedings, Aachen, Germany, S. 231–238.
Faculty/Chair:
Author:
Title of the Journal:
CEUR Workshop Proceedings
ISSN:
1613-0073
Corporate Body:
RWTH Aachen
Conference:
LWDA’23: Learning, Knowledge, Data, Analysis. October 09–11, 2023 ; Marburg, Germany
Publisher Information:
Year of publication:
2023
Volume:
3630
Pages:
Language:
English
Abstract:
Currently, web search engines reliably display knowledge panels with summarizing information only when the issued query mentions exactly one entity. That being said, queries mentioning multiple entities are relatively common. The present paper introduces a testbed for developing and evaluating dual-entity knowledge panels. The idea is to populate these novel knowledge panels with an explanation of the relationship between the entities of dual-entity queries in order to serve the users’ information need. To this end, previous research showed the feasibility of finding paths in Wikidata that connect two arbitrary entities. Although such paths provide a rich foundation for elucidating the relationship between two entities, it has not yet been studied how to present them in this context with usability in mind. Hence, this paper showcases a selection of conceivable presentation formats, including graph-based visualizations and LLM-based textual approaches, to promote research in this direction
GND Keywords: ;  ;  ; 
Suchmaschine
Wissensrepräsentation
Modellierung
Wikidata
Keywords: ;  ;  ; 
Web Search Engines
Knowledge Panels
Entity Relationship Explanation
Wikidata
DDC Classification:
RVK Classification:
Peer Reviewed:
Yes:
Type:
Conferenceobject
Activation date:
February 12, 2024
Versioning
Question on publication
Permalink
https://fis.uni-bamberg.de/handle/uniba/93459