{"id":"https://openalex.org/W2042847147","doi":"https://doi.org/10.1145/1458082.1458084","title":"Markov logic","display_name":"Markov logic","publication_year":2008,"publication_date":"2008-10-26","ids":{"openalex":"https://openalex.org/W2042847147","doi":"https://doi.org/10.1145/1458082.1458084","mag":"2042847147"},"language":"en","primary_location":{"id":"doi:10.1145/1458082.1458084","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1458082.1458084","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM conference on Information and knowledge management","raw_type":"proceedings-article"},"type":"article","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/A5018711331","display_name":"Pedro Domingos","orcid":"https://orcid.org/0000-0003-4523-5631"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Pedro Domingos","raw_affiliation_strings":["University of Washington, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5018711331"],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":2.8603,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.91185604,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"519","last_page":"519"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9969000220298767,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9969000220298767,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9656000137329102,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6802501678466797},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5846924781799316},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5338298678398132},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5247763991355896},{"id":"https://openalex.org/keywords/probabilistic-logic-network","display_name":"Probabilistic logic network","score":0.46547549962997437},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4543454349040985},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4116281569004059},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.4102347195148468},{"id":"https://openalex.org/keywords/description-logic","display_name":"Description logic","score":0.35169997811317444},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3227544128894806},{"id":"https://openalex.org/keywords/multimodal-logic","display_name":"Multimodal logic","score":0.2612994611263275},{"id":"https://openalex.org/keywords/autoepistemic-logic","display_name":"Autoepistemic logic","score":0.11211329698562622}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6802501678466797},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5846924781799316},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5338298678398132},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5247763991355896},{"id":"https://openalex.org/C18998212","wikidata":"https://www.wikidata.org/wiki/Q7246856","display_name":"Probabilistic logic network","level":5,"score":0.46547549962997437},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4543454349040985},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4116281569004059},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.4102347195148468},{"id":"https://openalex.org/C102993220","wikidata":"https://www.wikidata.org/wiki/Q387196","display_name":"Description logic","level":2,"score":0.35169997811317444},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3227544128894806},{"id":"https://openalex.org/C203659156","wikidata":"https://www.wikidata.org/wiki/Q6934805","display_name":"Multimodal logic","level":3,"score":0.2612994611263275},{"id":"https://openalex.org/C3845977","wikidata":"https://www.wikidata.org/wiki/Q4826262","display_name":"Autoepistemic logic","level":4,"score":0.11211329698562622}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1458082.1458084","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1458082.1458084","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM conference on Information and knowledge management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2553103903","https://openalex.org/W1854944386","https://openalex.org/W2962929355","https://openalex.org/W2513185943","https://openalex.org/W2159284075","https://openalex.org/W2949605352","https://openalex.org/W1221614779","https://openalex.org/W4293474600","https://openalex.org/W3038853105","https://openalex.org/W2952689144"],"abstract_inverted_index":{"Modern":[0],"information":[1,106,112],"and":[2,12,21,49,68,82,91,107,123],"knowledge":[3,108,121],"management":[4,109],"is":[5,15,32,126],"characterized":[6],"by":[7,18,23,43],"high":[8],"degrees":[9],"of":[10,36,56,105,129],"complexity":[11],"uncertainty.":[13],"Complexity":[14],"well":[16],"handled":[17],"first-order":[19],"logic,":[20],"uncertainty":[22],"probabilistic":[24],"graphical":[25],"models.":[26],"What":[27],"has":[28,97],"been":[29,98],"sorely":[30],"missing":[31],"a":[33,102],"seamless":[34],"combination":[35],"the":[37,127,130],"two.":[38],"Markov":[39,57,63,78,95],"logic":[40,64,93,96],"provides":[41],"this":[42],"attaching":[44],"weights":[45],"to":[46,101],"logical":[47],"formulas":[48],"treating":[50],"them":[51],"as":[52],"templates":[53],"for":[54],"features":[55],"random":[58],"fields.":[59],"This":[60],"talks":[61],"surveys":[62],"representation,":[65],"inference,":[66],"learning":[67,90],"applications.":[69],"Inference":[70],"algorithms":[71,86],"combine":[72],"ideas":[73],"from":[74],"satisfiability":[75],"testing,":[76],"resolution,":[77,115],"chain":[79],"Monte":[80],"Carlo":[81],"belief":[83],"propagation.":[84],"Learning":[85],"involve":[87],"statistical":[88],"weight":[89],"inductive":[92],"programming.":[94],"successfully":[99],"applied":[100],"wide":[103],"range":[104],"problems,":[110],"including":[111],"extraction,":[113],"entity":[114],"ontology":[116],"learning,":[117],"link":[118],"prediction,":[119],"heterogeneous":[120],"bases,":[122],"others.":[124],"It":[125],"basis":[128],"open-source":[131],"Alchemy":[132],"system":[133],"(http://alchemy.cs.washington.edu).":[134]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}