{"id":"https://openalex.org/W4400573487","doi":"https://doi.org/10.1145/3641519.3657400","title":"Recompose Grammars for Procedural Architecture","display_name":"Recompose Grammars for Procedural Architecture","publication_year":2024,"publication_date":"2024-07-12","ids":{"openalex":"https://openalex.org/W4400573487","doi":"https://doi.org/10.1145/3641519.3657400"},"language":"en","primary_location":{"id":"doi:10.1145/3641519.3657400","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3641519.3657400","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104420727","display_name":"Niklaus Houska","orcid":"https://orcid.org/0009-0006-5388-901X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Niklaus Houska","raw_affiliation_strings":["Esri R&D Center Zurich, Switzerland"],"raw_orcid":"https://orcid.org/0009-0006-5388-901X","affiliations":[{"raw_affiliation_string":"Esri R&D Center Zurich, Switzerland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102977869","display_name":"Cheryl Lau","orcid":"https://orcid.org/0000-0003-0918-2966"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheryl Lau","raw_affiliation_strings":["Esri R&D Center Zurich, Switzerland"],"raw_orcid":"https://orcid.org/0000-0003-0918-2966","affiliations":[{"raw_affiliation_string":"Esri R&D Center Zurich, Switzerland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076363917","display_name":"Matthias Specht","orcid":"https://orcid.org/0000-0002-4100-9015"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matthias Specht","raw_affiliation_strings":["Esri R&D Center Zurich, Switzerland"],"raw_orcid":"https://orcid.org/0000-0002-4100-9015","affiliations":[{"raw_affiliation_string":"Esri R&D Center Zurich, Switzerland","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5632,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63876652,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11450","display_name":"Model-Driven Software Engineering Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11450","display_name":"Model-Driven Software Engineering Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9858999848365784,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7116470336914062},{"id":"https://openalex.org/keywords/rule-based-machine-translation","display_name":"Rule-based machine translation","score":0.6064913868904114},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5332362651824951},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.43510767817497253},{"id":"https://openalex.org/keywords/l-attributed-grammar","display_name":"L-attributed grammar","score":0.43189162015914917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40511083602905273},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.39135825634002686},{"id":"https://openalex.org/keywords/context-free-grammar","display_name":"Context-free grammar","score":0.29129403829574585},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.06166425347328186}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7116470336914062},{"id":"https://openalex.org/C53893814","wikidata":"https://www.wikidata.org/wiki/Q7378909","display_name":"Rule-based machine translation","level":2,"score":0.6064913868904114},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5332362651824951},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.43510767817497253},{"id":"https://openalex.org/C67621940","wikidata":"https://www.wikidata.org/wiki/Q3113340","display_name":"L-attributed grammar","level":4,"score":0.43189162015914917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40511083602905273},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.39135825634002686},{"id":"https://openalex.org/C97212296","wikidata":"https://www.wikidata.org/wiki/Q338047","display_name":"Context-free grammar","level":3,"score":0.29129403829574585},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.06166425347328186},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3641519.3657400","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3641519.3657400","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W104209400","https://openalex.org/W1885699735","https://openalex.org/W1984823902","https://openalex.org/W2059786927","https://openalex.org/W2060174494","https://openalex.org/W2063426504","https://openalex.org/W2086214957","https://openalex.org/W2117088012","https://openalex.org/W2138782311","https://openalex.org/W2385528159","https://openalex.org/W2554007669","https://openalex.org/W2585143444","https://openalex.org/W2898326065","https://openalex.org/W2903805179","https://openalex.org/W2959658029","https://openalex.org/W3156515262","https://openalex.org/W3186806032","https://openalex.org/W3215496614","https://openalex.org/W4233003406","https://openalex.org/W4252175893","https://openalex.org/W4385275533"],"related_works":["https://openalex.org/W2126599323","https://openalex.org/W152266133","https://openalex.org/W2055334547","https://openalex.org/W2123779329","https://openalex.org/W55831049","https://openalex.org/W1879113817","https://openalex.org/W191460370","https://openalex.org/W1519774423","https://openalex.org/W2000677048","https://openalex.org/W1564771228"],"abstract_inverted_index":{"We":[0],"present":[1],"the":[2,8,16,37,43,64,69,76,123,127,130,138],"novel":[3],"grammar":[4,61],"language":[5],"Recomp":[6,55,141],"for":[7,75],"procedural":[9,17,143],"modeling":[10],"of":[11,27,71,79,116,126,129,140],"architecture.":[12],"In":[13],"grammar-based":[14],"approaches,":[15],"refinement":[18],"process":[19,26],"is":[20,68,97],"based":[21],"on":[22,91],"shape":[23,48,85,90,131],"subdivisions.":[24],"This":[25,96],"decomposition":[28],"results":[29],"in":[30,142,153],"disconnected":[31],"subparts,":[32],"which":[33,92],"not":[34],"only":[35],"restricts":[36],"geometric":[38],"expressiveness":[39],"but":[40],"also":[41],"limits":[42],"control":[44,121],"over":[45,122],"an":[46],"appropriate":[47],"granularity":[49],"needed":[50],"to":[51,107],"coordinate":[52],"design":[53],"decisions.":[54],"overcomes":[56],"these":[57],"limitations":[58],"by":[59,82],"extending":[60],"languages":[62],"with":[63,99],"recomposition":[65,78],"ability.":[66],"Fundamental":[67],"concept":[70],"rule":[72],"inlining,":[73],"allowing":[74,105],"topological":[77],"edited":[80],"subparts":[81],"collapsing":[83],"a":[84,100],"subtree":[86],"into":[87],"one":[88],"single":[89],"derivation":[93],"can":[94],"continue.":[95],"completed":[98],"versatile":[101],"geometry":[102,124],"tagging":[103],"system,":[104],"authors":[106],"compile":[108],"and":[109,118,145],"transport":[110],"context":[111],"information":[112],"at":[113],"any":[114],"level":[115],"detail":[117],"gain":[119],"full":[120],"independent":[125],"structure":[128],"tree.":[132],"Through":[133],"various":[134],"examples,":[135],"we":[136],"demonstrate":[137],"power":[139],"layout":[144],"mass":[146],"modeling,":[147],"as":[148,150],"well":[149],"its":[151],"capabilities":[152],"facilitating":[154],"context-sensitive":[155],"design.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}