{"id":"https://openalex.org/W4378945280","doi":"https://doi.org/10.48550/arxiv.2305.18924","title":"Bottom-Up Grounding in the Probabilistic Logic Programming System Fusemate","display_name":"Bottom-Up Grounding in the Probabilistic Logic Programming System Fusemate","publication_year":2023,"publication_date":"2023-05-30","ids":{"openalex":"https://openalex.org/W4378945280","doi":"https://doi.org/10.48550/arxiv.2305.18924"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2305.18924","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.18924","pdf_url":"https://arxiv.org/pdf/2305.18924","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2305.18924","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Baumgartner, Peter","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Baumgartner, Peter","raw_affiliation_strings":["/ CSIRO Canberra , Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"/ CSIRO Canberra , Australia","institution_ids":["https://openalex.org/I1292875679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103090799","display_name":"Elena Tartaglia","orcid":"https://orcid.org/0000-0003-0227-8391","observed_orcids":["https://orcid.org/0000-0003-0227-8391"]},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Tartaglia, Elena","raw_affiliation_strings":["/ CSIRO Melbourne , Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"/ CSIRO Melbourne , Australia","institution_ids":["https://openalex.org/I1292875679"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1292875679"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.7060999870300293,"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":0.7060999870300293,"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/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.28220000863075256,"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.0008999999845400453,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/probabilistic-logic-programming","display_name":"probabilistic logic programming","score":0.9580000042915344},{"id":"https://openalex.org/keywords/variable-elimination","display_name":"variable elimination","score":0.8410000205039978},{"id":"https://openalex.org/keywords/probabilistic-inference","display_name":"probabilistic inference","score":0.953000009059906},{"id":"https://openalex.org/keywords/hidden-markov-models","display_name":"hidden Markov models","score":0.8119999766349792}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7534267902374268},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6939631104469299},{"id":"https://openalex.org/C168993435","wikidata":"https://www.wikidata.org/wiki/Q6501125","display_name":"Ground","level":2,"score":0.6174349188804626},{"id":"https://openalex.org/C28034677","wikidata":"https://www.wikidata.org/wiki/Q17092530","display_name":"Interleaving","level":2,"score":0.5297406911849976},{"id":"https://openalex.org/C52063229","wikidata":"https://www.wikidata.org/wiki/Q7246845","display_name":"Probabilistic CTL","level":4,"score":0.527606725692749},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5041695833206177},{"id":"https://openalex.org/C128838566","wikidata":"https://www.wikidata.org/wiki/Q275603","display_name":"Logic programming","level":2,"score":0.49060574173927307},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.44878247380256653},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3899337351322174},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3451099991798401},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25154662132263184},{"id":"https://openalex.org/C24404364","wikidata":"https://www.wikidata.org/wiki/Q7246846","display_name":"Probabilistic analysis of algorithms","level":3,"score":0.16320043802261353},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14436224102973938},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2305.18924","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.18924","pdf_url":"https://arxiv.org/pdf/2305.18924","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2305.18924","doi":"https://doi.org/10.48550/arxiv.2305.18924","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2305.18924","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2305.18924","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.18924","pdf_url":"https://arxiv.org/pdf/2305.18924","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4378945280.pdf","grobid_xml":"https://content.openalex.org/works/W4378945280.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4386211517","https://openalex.org/W2989107313","https://openalex.org/W2997220097","https://openalex.org/W1519050489","https://openalex.org/W2952386310","https://openalex.org/W2046297014","https://openalex.org/W7099944613","https://openalex.org/W2951112162","https://openalex.org/W3135964175","https://openalex.org/W1586121629"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"the":[3,32,40,69,95],"Fusemate":[4,24],"probabilistic":[5,22,128],"logic":[6,129],"programming":[7,130],"system.":[8],"Fusemate's":[9],"inference":[10],"engine":[11],"comprises":[12],"a":[13,17,35,50,83,125],"grounding":[14,31,46,81],"component":[15],"and":[16,103],"variable":[18],"elimination":[19],"method":[20,100],"for":[21,49,55,134],"inference.":[23],"differs":[25],"from":[26],"most":[27],"other":[28],"systems":[29],"by":[30,79],"program":[33],"in":[34,101,132],"bottom-up":[36,45],"way":[37],"instead":[38],"of":[39,52,59,71],"common":[41],"top-down":[42],"way.":[43],"While":[44],"is":[47],"attractive":[48],"number":[51],"reasons,":[53],"e.g.,":[54],"dynamically":[56],"creating":[57],"distributions":[58],"varying":[60],"support":[61],"sizes,":[62],"it":[63,65,105],"makes":[64],"harder":[66],"to":[67,124],"control":[68],"amount":[70],"ground":[72],"clauses":[73],"generated.":[74],"We":[75,97],"address":[76],"this":[77],"problem":[78],"interleaving":[80],"with":[82,94,106],"query-guided":[84],"relevance":[85],"test":[86],"which":[87],"prunes":[88],"rules":[89],"whose":[90],"bodies":[91],"are":[92],"inconsistent":[93],"query.":[96],"present":[98],"our":[99],"detail":[102],"demonstrate":[104,118],"examples":[107],"that":[108],"involve":[109],"\"time\",":[110],"such":[111],"as":[112],"(hidden)":[113],"Markov":[114],"models.":[115],"Our":[116],"experiments":[117],"competitive":[119],"or":[120],"better":[121],"performance":[122],"compared":[123],"state-of-the":[126],"art":[127],"system,":[131],"particular":[133],"high":[135],"branching":[136],"problems.":[137]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-09-30T09:27:27.532063","created_date":"2023-06-01T00:00:00"}
