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Extraction of object-action and object-state associations from Knowledge Graphs

Vassiliades, Alexandros; Patkos, Theodore; Efthymiou, Vasilis; Bikakis, Antonis; Bassiliades, Nick; Plexousakis, Dimitris; (2024) Extraction of object-action and object-state associations from Knowledge Graphs. Journal of Web Semantics , Article 100816. 10.1016/j.websem.2024.100816. Green open access

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Abstract

Infusing autonomous artificial systems with knowledge about the physical world they inhabit is a critical and long-held aim for the Artificial Intelligence community. Training systems with relevant data is a typical approach; however, finding the data required is not always possible, especially when much of this knowledge is commonsense. In this paper, we present a comparison of topology-based and semantics-based methods for extracting information about object-action and object-state association relations from knowledge graphs, such as ConceptNet, WordNet, ATOMIC, YAGO, WebChild and DBpedia. Moreover, we propose a novel method for extracting information about object-action and object-state associations from knowledge graphs. Our method is composed of a set of techniques for locating, enriching, evaluating, cleaning and exposing knowledge from such resources, relying on semantic similarity methods. Some important aspects of our method are the flexibility in deciding how to deal with the noise that exists in the data, and the capability to determine the importance of a path through training, rather than through manual annotation.

Type: Article
Title: Extraction of object-action and object-state associations from Knowledge Graphs
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.websem.2024.100816
Publisher version: http://dx.doi.org/10.1016/j.websem.2024.100816
Language: English
Additional information: © 2024 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Keywords: Association extraction, Knowledge Graphs, Semantics-based extraction, Topology-based extraction, Linking entities
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL SLASH
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of Arts and Humanities
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of Arts and Humanities > Dept of Information Studies
URI: https://discovery.ucl.ac.uk/id/eprint/10189784
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