Towards a Definition and Conceptualisation of the Perceived-Entity Linking Problem

Mark Adamik*, Stefan Schlobach

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

In this paper we present an initial conceptualization of the problem of Perceived-Entity Linking (PEL), which is inspired by the entity linking task used in the Natural Language Processing domain. The task was adopted to represent a problem knowledge-driven embodied systems face, which concerns the linking of the representations of perceived entities to a target knowledge graph. We provide an initial description of the problem, demonstrated with a motivating example, and followed by a preliminary case study, where we identify some of the challenges and opportunities PEL presents both to the engineers of knowledge-driven autonomous agents and to the knowledge engineers of the Semantic Web community.

Original languageEnglish
Title of host publicationRobOntics 2023 Ontologies for Autonomous Robotics 2023
Subtitle of host publicationProceedings of the Workshop on Ontologies for Autonomous Robotics co-located with The 32nd IEEE International Conference on Robot and Human Interactive Communication (IEEE RO-MAN 2023) Busan, S. Korea, August 28, 2023
EditorsMihai Pomarlan, Daniel Beßler, Stefano Borgo, Mohammed Diab
PublisherCEUR-WS
Number of pages11
Publication statusPublished - 2023
Event2023 Workshop on Ontologies for Autonomous Robotics, RobOntics 2023 - Busan, Korea, Republic of
Duration: 28 Aug 2023 → …

Publication series

NameCEUR Workshop Proceedings
PublisherCEUR Workshop Proceedings
Volume3595
ISSN (Print)1613-0073

Conference

Conference2023 Workshop on Ontologies for Autonomous Robotics, RobOntics 2023
Country/TerritoryKorea, Republic of
CityBusan
Period28/08/23 → …

Bibliographical note

Publisher Copyright:
© 2023 Copyright for this paper by its authors.

Keywords

  • knowledge representation
  • ontology
  • perception
  • robotics

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