https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE/Head https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE http://www.nanopub.org/nschema#hasAssertion https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE/assertion https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE http://www.nanopub.org/nschema#hasProvenance https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE/provenance https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE/pubinfo https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE/assertion https://doi.org/10.14279/depositonce-9977 http://purl.org/dc/terms/title EG-ICE 2020 Workshop on Intelligent Computing in Engineering https://orcid.org/0000-0001-8492-0354 http://schema.org/affiliation https://ror.org/01swzsf04 https://orcid.org/0000-0001-8492-0354 http://xmlns.com/foaf/0.1/name Ashley Caselli https://orcid.org/0000-0002-1401-5110 http://schema.org/affiliation https://ror.org/01swzsf04 https://orcid.org/0000-0002-1401-5110 http://xmlns.com/foaf/0.1/name Gilles Falquet https://orcid.org/0000-0003-3660-0270 http://schema.org/affiliation https://ror.org/01swzsf04 https://orcid.org/0000-0003-3660-0270 http://xmlns.com/foaf/0.1/name Vincenzo Daponte https://ror.org/01swzsf04 http://xmlns.com/foaf/0.1/name University of Geneva https://w3id.org/np/RAC95Pl7uZTfw5nebKJBizJekQ-32cS4HJFymiH8nI32Q/claudine-metral http://schema.org/affiliation https://ror.org/01swzsf04 https://w3id.org/np/RAC95Pl7uZTfw5nebKJBizJekQ-32cS4HJFymiH8nI32Q/claudine-metral http://xmlns.com/foaf/0.1/name Claudine Métral https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE/author-list http://www.w3.org/1999/02/22-rdf-syntax-ns#_1 https://orcid.org/0000-0001-8492-0354 https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE/author-list http://www.w3.org/1999/02/22-rdf-syntax-ns#_2 https://orcid.org/0000-0003-3660-0270 https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE/author-list http://www.w3.org/1999/02/22-rdf-syntax-ns#_3 https://orcid.org/0000-0002-1401-5110 https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE/author-list http://www.w3.org/1999/02/22-rdf-syntax-ns#_4 https://w3id.org/np/RAC95Pl7uZTfw5nebKJBizJekQ-32cS4HJFymiH8nI32Q/claudine-metral https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE/rule-language-model-subsurface-data-refinement http://purl.org/dc/terms/abstract The automated regulation compliance checking in the domain of Architecture, Engineering, and Construction (AEC) still presents many challenges to face. The completeness and correctness of the input data affect the results of the compliance checking. Refinement operations on data represented through knowledge graphs can help the assessment of these data properties. In this work, a model to represent rules holding complex constraints is proposed and conveyed through an ontology. This model aims to overcome existing expressiveness limitations and to provide a conceptual tool to represent both compliance regulations and domain experts' knowledge encoded through heuristics. These heuristics are used to drive the refinement process needed prior the compliance checking. The proposed model is intended as the first step towards an automatic execution process of both types of rule instances. The model has been assessed by representing regulations issued by Swiss entities and domain experts' heuristics targeting data of an area of the city of Geneva. https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE/rule-language-model-subsurface-data-refinement http://purl.org/dc/terms/date 2020 https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE/rule-language-model-subsurface-data-refinement http://purl.org/dc/terms/isPartOf https://doi.org/10.14279/depositonce-9977 https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE/rule-language-model-subsurface-data-refinement http://purl.org/dc/terms/title A Rule Language Model for Subsurface Data Refinement https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE/rule-language-model-subsurface-data-refinement http://purl.org/ontology/bibo/authorList https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE/author-list https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE/rule-language-model-subsurface-data-refinement http://purl.org/ontology/bibo/pageEnd 452 https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE/rule-language-model-subsurface-data-refinement http://purl.org/ontology/bibo/pageStart 443 https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE/rule-language-model-subsurface-data-refinement http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/ResearchPaper https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE/provenance https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE/assertion http://www.w3.org/ns/prov#wasAttributedTo https://orcid.org/0000-0001-8492-0354 https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE/pubinfo https://orcid.org/0000-0001-8492-0354 http://xmlns.com/foaf/0.1/name Ashley Caselli https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE http://purl.org/dc/terms/created 2026-08-26T09:52:42.000Z https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE http://purl.org/dc/terms/creator https://orcid.org/0000-0001-8492-0354 https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE http://purl.org/dc/terms/license https://creativecommons.org/licenses/by/4.0/ https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE http://purl.org/nanopub/x/hasNanopubType http://purl.org/spar/fabio/ScholarlyWork https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE http://purl.org/nanopub/x/introduces https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE/rule-language-model-subsurface-data-refinement https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE http://www.w3.org/2000/01/rdf-schema#label Article: A Rule Language Model for Subsurface Data Refinement https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE https://w3id.org/np/o/ntemplate/wasCreatedFromProvenanceTemplate https://w3id.org/np/RANwQa4ICWS5SOjw7gp99nBpXBasapwtZF1fIM3H2gYTM https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE https://w3id.org/np/o/ntemplate/wasCreatedFromPubinfoTemplate https://w3id.org/np/RACJ58Gvyn91LqCKIO9zu1eijDQIeEff28iyDrJgjSJF8 https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE https://w3id.org/np/o/ntemplate/wasCreatedFromPubinfoTemplate https://w3id.org/np/RAukAcWHRDlkqxk7H2XNSegc1WnHI569INvNr-xdptDGI https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE https://w3id.org/np/o/ntemplate/wasCreatedFromTemplate https://w3id.org/np/RAYRjIrbLSDIX5Mp1cb6MK4vRV0Vd5o0TZ8NTIEHwCPOI https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE/sig http://purl.org/nanopub/x/hasAlgorithm RSA https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE/sig http://purl.org/nanopub/x/hasPublicKey MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAj5Fw+fVfCC6ClwgcL2L38ZSMVdNE8Wi4zwbAWbtkb2P6n1ejabfNLdPRkAO2gIcpQcd6pKjhVxyDn7c1yCGpMMfhSmvEpUWv8Zu7rt3VvRWnTNrky9iH1cAUPPz/gYNHzCXeLbtQTmIPaTjMYPp9IQf4Pf6PH4x6SgHOJLpK1cRZZZ5A3XjfwfisRAYw+TzL6d4ProjNyfAkQAgiy4s6j489EbWCkCCb0XxM9Uiw430EssbLOO2sQw/gZmusB8lVmCuWbmZkMUnXWPYWZSKXezSVqTo4voA3S5LJrLUwfmiu60cT7n9s3zT2m+ODrf/NPb34OfIC9DRE6fgn3qi5gQIDAQAB https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE/sig http://purl.org/nanopub/x/hasSignature IN3XPC40sL1COkl+2LfETWOAi65uGqGQaj6qWhw3mEgDkPZy9PNk89RdNfkioNnox0oGxLcq2TojuMRLxCbiC6ymqBSVNliVlIEmGCowlIbLXFjooap78DVEvtLf0QcPLAEE11RJclBd2qycny968LcfYZ1LywuNwO/2TRGAn/g5GrVpuAT47YOW1ofltiae2U+4CyfiGegWKh7Vf28jByM7n6s7S7FRvxkY9WqpScnAy/ZsQglz119N21VlaNiobZZbFoLSElUvFIf3JGD3+q71w4h0AZzIcOrS7H1KC4lbryW+IPXbu/3mGNC4dQ/50dHgllu7d7OoRPZRWgTmWQ== https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE/sig http://purl.org/nanopub/x/hasSignatureTarget https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE https://w3id.org/np/RADgrhIUesgIkJSVaSpFKGHMCuvd3XAIGnDFd07AmcvsE/sig http://purl.org/nanopub/x/signedBy https://orcid.org/0000-0001-8492-0354