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Modelling a warehouse with SLICER: a contribution to the MULTI warehouse challenge

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dc.contributor.authorFu, Y.
dc.contributor.authorSelway, M.
dc.contributor.authorGrossmann, G.
dc.contributor.authorKaur, K.
dc.contributor.authorStumptner, M.
dc.contributor.conference27th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings (MODELS) (22 Sep 2024 - 27 Sep 2024 : Linz, Austria)
dc.date.issued2024
dc.description.abstractIn this paper we apply the SLICER multi-level modelling framework on the MULTI 2024 Warehouse Challenge. SLICER was first introduced at the ER 2015 conference[17] and formally specified in [18]. It has been implemented in an object-oriented knowledge representation and reasoning system and the framework identifies additional semantic subcategories for the traditional object-oriented relationship types and uses these distinctions for a new style of formal characterisation of level relationships. The framework is executable via its implementation in a dynamic metamodeling and object logic environment. We first introduce SLICER, then describe its application on the Warehouse Challenge requirements and then discuss the advantages of the SLICER representation.
dc.identifier.citation27th International Conference On Model Driven Engineering Languages And Systems: Companion Proceedings, Models 2024, 2024, pp.828-837
dc.identifier.doi10.1145/3652620.3688215
dc.identifier.isbn9798400706226
dc.identifier.urihttps://hdl.handle.net/11541.2/41169
dc.language.isoen
dc.publisherIEEE
dc.publisher.placeUS
dc.relation.fundingFuture Energy Exports CRC - Australian Government 2024/20.RP3.0048-FNX-012
dc.rightsCopyright 2024 IEEE Access Condition Notes: Accepted manuscript available open access
dc.source.urihttps://doi.org/10.1145/3652620.3688215
dc.subjectmulti-level modelling
dc.subjectwarehouse challenge
dc.subjectslicer
dc.titleModelling a warehouse with SLICER: a contribution to the MULTI warehouse challenge
dc.typeConference paper
pubs.publication-statusPublished
ror.fileinfo12297519990001831 13297519980001831 Open Access Postprint
ror.mmsid9916910529501831

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