AOAME 4 Society 5.0: Towards the creation and maintenance of knowledge graphs through enterprise modelling
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Autor:innen
Autor:in (Körperschaft)
Publikationsdatum
2022
Typ der Arbeit
Studiengang
Typ
06 - Präsentation
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
Themenheft
DOI der Originalpublikation
Link
Reihe / Serie
Reihennummer
Jahrgang / Band
Ausgabe / Nummer
Seiten / Dauer
Patentnummer
Verlag / Herausgebende Institution
Verlagsort / Veranstaltungsort
Brugg-Windisch
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
Knowledge 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.
Schlagwörter
Fachgebiet (DDC)
330 - Wirtschaft
Veranstaltung
Society 5.0 - Integrating digital world and real world to resolve challenges in business and society
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
20.06.2022
Enddatum der Konferenz
22.06.2022
Datum der letzten Prüfung
ISBN
ISSN
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Ja
Zukunftsfelder FHNW
Publikationsstatus
Begutachtung
Peer-Review des Abstracts
Open Access-Status
Lizenz
Zitation
LAURENZI, Emanuele, 2022. AOAME 4 Society 5.0: Towards the creation and maintenance of knowledge graphs through enterprise modelling. Society 5.0 - Integrating digital world and real world to resolve challenges in business and society. Brugg-Windisch. 2022. Verfügbar unter: https://irf.fhnw.ch/handle/11654/43264