{"id":"https://openalex.org/W4385437241","doi":"https://doi.org/10.24963/kr.2023/40","title":"Knowledge Compilation and More with SharpSAT-TD","display_name":"Knowledge Compilation and More with SharpSAT-TD","publication_year":2023,"publication_date":"2023-07-31","ids":{"openalex":"https://openalex.org/W4385437241","doi":"https://doi.org/10.24963/kr.2023/40"},"language":"en","primary_location":{"id":"doi:10.24963/kr.2023/40","is_oa":true,"landing_page_url":"https://doi.org/10.24963/kr.2023/40","pdf_url":"https://proceedings.kr.org/2023/40/kr2023-0040-kiesel-et-al.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twentieth International Conference on Principles of Knowledge Representation and Reasoning","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://proceedings.kr.org/2023/40/kr2023-0040-kiesel-et-al.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076600441","display_name":"Rafael Kiesel","orcid":"https://orcid.org/0000-0002-8866-3452"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Rafael Kiesel","raw_affiliation_strings":["TU Wien"],"affiliations":[{"raw_affiliation_string":"TU Wien","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082178480","display_name":"Thomas Eiter","orcid":"https://orcid.org/0000-0001-6003-6345"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Thomas Eiter","raw_affiliation_strings":["TU Wien"],"affiliations":[{"raw_affiliation_string":"TU Wien","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5076600441"],"corresponding_institution_ids":["https://openalex.org/I145847075"],"apc_list":null,"apc_paid":null,"fwci":0.8842,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78898456,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"406","last_page":"416"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9869999885559082,"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"}},"topics":[{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9869999885559082,"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/T10142","display_name":"Formal Methods in Verification","score":0.9855999946594238,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10683","display_name":"Mass Spectrometry Techniques and Applications","score":0.9799000024795532,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/compiler","display_name":"Compiler","score":0.7953745126724243},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7931033372879028},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7486363053321838},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7420297861099243},{"id":"https://openalex.org/keywords/semiring","display_name":"Semiring","score":0.7137436866760254},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6825078129768372},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.44003918766975403},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4178749918937683},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.39875689148902893},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3067352771759033},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11182263493537903},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.10086166858673096}],"concepts":[{"id":"https://openalex.org/C169590947","wikidata":"https://www.wikidata.org/wiki/Q47506","display_name":"Compiler","level":2,"score":0.7953745126724243},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7931033372879028},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7486363053321838},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7420297861099243},{"id":"https://openalex.org/C21696900","wikidata":"https://www.wikidata.org/wiki/Q1333055","display_name":"Semiring","level":2,"score":0.7137436866760254},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6825078129768372},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.44003918766975403},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4178749918937683},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.39875689148902893},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3067352771759033},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11182263493537903},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.10086166858673096},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/kr.2023/40","is_oa":true,"landing_page_url":"https://doi.org/10.24963/kr.2023/40","pdf_url":"https://proceedings.kr.org/2023/40/kr2023-0040-kiesel-et-al.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twentieth International Conference on Principles of Knowledge Representation and Reasoning","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/kr.2023/40","is_oa":true,"landing_page_url":"https://doi.org/10.24963/kr.2023/40","pdf_url":"https://proceedings.kr.org/2023/40/kr2023-0040-kiesel-et-al.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twentieth International Conference on Principles of Knowledge Representation and Reasoning","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.550000011920929,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G1975729292","display_name":null,"funder_award_id":"W1255-N23","funder_id":"https://openalex.org/F4320321181","funder_display_name":"Austrian Science Fund"},{"id":"https://openalex.org/G8680849391","display_name":null,"funder_award_id":"W1255","funder_id":"https://openalex.org/F4320321181","funder_display_name":"Austrian Science Fund"}],"funders":[{"id":"https://openalex.org/F4320321181","display_name":"Austrian Science Fund","ror":"https://ror.org/013tf3c58"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4385437241.pdf"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W9945751","https://openalex.org/W89328955","https://openalex.org/W1681144494","https://openalex.org/W1824971879","https://openalex.org/W1873912000","https://openalex.org/W1950282396","https://openalex.org/W1999823208","https://openalex.org/W2062818807","https://openalex.org/W2119634222","https://openalex.org/W2238678393","https://openalex.org/W2476212755","https://openalex.org/W2576217799","https://openalex.org/W2576508501","https://openalex.org/W2739264497","https://openalex.org/W2741061345","https://openalex.org/W2758822314","https://openalex.org/W2785315321","https://openalex.org/W2899548473","https://openalex.org/W2908408690","https://openalex.org/W2949894935","https://openalex.org/W3099451540","https://openalex.org/W3104376605","https://openalex.org/W3206345580","https://openalex.org/W4226051860","https://openalex.org/W4400025441","https://openalex.org/W6600411887","https://openalex.org/W6637331926","https://openalex.org/W6639236657","https://openalex.org/W6721277551","https://openalex.org/W6742172080","https://openalex.org/W6744888229","https://openalex.org/W6758102629","https://openalex.org/W6785305666","https://openalex.org/W6927270901","https://openalex.org/W7015578920"],"related_works":["https://openalex.org/W185248416","https://openalex.org/W17155033","https://openalex.org/W4312619976","https://openalex.org/W202649520","https://openalex.org/W2381312783","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W2186303141","https://openalex.org/W4312814274","https://openalex.org/W1590307681"],"abstract_inverted_index":{"SharpSAT-TD":[0,45,64],"is":[1],"a":[2,47],"recently":[3],"published":[4],"exact":[5],"model":[6,27,67],"counter":[7],"that":[8,60],"performed":[9],"exceptionally":[10],"well":[11],"in":[12,103],"the":[13,17,51,61,79,98],"recent":[14],"editions":[15],"of":[16,53,63,78,100],"Model":[18],"Counting":[19],"Competition":[20],"(https://mccompetition.org/).":[21],"Notably,":[22],"it":[23,74],"additionally":[24],"features":[25],"*weighted*":[26],"counting":[28,68],"capabilities":[29],"over":[30],"any":[31],"semiring.":[32],"In":[33],"this":[34,41,104],"work,":[35],"we":[36,88],"show":[37],"how":[38],"to":[39,43,50,70,92],"exploit":[40],"fact":[42],"use":[44],"as":[46],"knowledge":[48,71,81],"compiler":[49],"class":[52],"sd-DNNF":[54],"circuits.":[55],"Our":[56],"experimental":[57],"evaluation":[58],"shows":[59],"efficiency":[62],"for":[65],"(weighted)":[66],"transfers":[69],"compilation,":[72],"since":[73],"outperforms":[75],"other":[76],"state":[77],"art":[80],"compilers":[82],"on":[83],"standard":[84],"benchmark":[85],"sets.":[86],"Additionally,":[87],"generalized":[89],"SharpSAT-TD's":[90],"preprocessing":[91],"support":[93],"arbitrary":[94],"semirings":[95],"and":[96],"consider":[97],"utility":[99],"auxiliary":[101],"variables":[102],"setting.":[105]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}
