AOAME 4 Society 5.0: Towards the creation and maintenance of knowledge graphs through enterprise modelling

dc.contributor.authorLaurenzi, Emanuele
dc.date.accessioned2024-04-29T09:23:33Z
dc.date.available2024-04-29T09:23:33Z
dc.date.issued2022
dc.description.abstractKnowledge Graphs (KGs) have matured as a topical technique that organizations increasingly adopt for structuring knowledge and its subsequent analysis and reasoning as well as for integrating information extracted from different data sources. KGs also play a central role in Artificial Intelligence systems, as their structured knowledge can be used as input to improve predictions of Machine Learning. Yet, one of the main challenges in KGs is the creation and maintenance of structured and formalized knowledge (or ontologies), which requires high expertise in ontology engineering as well as is tedious and time-consuming. In this workshop, I will present AOAME: an Agile and Ontology-Aided Metamodelling Environment, with which ontologies can be automatically created and maintained while easily adapting a modeling language and creating enterprise models. To underpin the explanation of the research approach, a real-world case taken from a recently finished EU project will be implemented in AOAME.
dc.eventSociety 5.0 - Integrating digital world and real world to resolve challenges in business and society
dc.event.end2022-06-22
dc.event.start2022-06-20
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/43264
dc.language.isoen
dc.spatialBrugg-Windisch
dc.subject.ddc330 - Wirtschaft
dc.titleAOAME 4 Society 5.0: Towards the creation and maintenance of knowledge graphs through enterprise modelling
dc.type06 - Präsentation
dspace.entity.typePublication
fhnw.InventedHereYes
fhnw.ReviewTypeAnonymous ex ante peer review of an abstract
fhnw.affiliation.hochschuleHochschule für Wirtschaft FHNWde_CH
fhnw.affiliation.institutInstitut für Wirtschaftsinformatikde_CH
relation.isAuthorOfPublication4a2b6cad-6ed6-4355-a377-e408a177b079
relation.isAuthorOfPublication.latestForDiscovery4a2b6cad-6ed6-4355-a377-e408a177b079
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