{"id":"https://openalex.org/W2302034627","doi":"https://doi.org/10.3233/sw-160219","title":"An infrastructure for probabilistic reasoning with web ontologies","display_name":"An infrastructure for probabilistic reasoning with web ontologies","publication_year":2016,"publication_date":"2016-12-06","ids":{"openalex":"https://openalex.org/W2302034627","doi":"https://doi.org/10.3233/sw-160219","mag":"2302034627"},"language":"en","primary_location":{"id":"doi:10.3233/sw-160219","is_oa":true,"landing_page_url":"https://doi.org/10.3233/sw-160219","pdf_url":"https://content.iospress.com:443/download/semantic-web/sw219?id=semantic-web%2Fsw219","source":{"id":"https://openalex.org/S4210177235","display_name":"Semantic Web","issn_l":"1570-0844","issn":["1570-0844","2210-4968"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Semantic Web","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://content.iospress.com:443/download/semantic-web/sw219?id=semantic-web%2Fsw219","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087268323","display_name":"Jakob Huber","orcid":"https://orcid.org/0000-0002-1473-3390"},"institutions":[{"id":"https://openalex.org/I177802217","display_name":"University of Mannheim","ror":"https://ror.org/031bsb921","country_code":"DE","type":"education","lineage":["https://openalex.org/I177802217"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Jakob Huber","raw_affiliation_strings":["Data- and Web Science Group, University of Mannheim, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data- and Web Science Group, University of Mannheim, Germany","institution_ids":["https://openalex.org/I177802217"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031719069","display_name":"Mathias Niepert","orcid":"https://orcid.org/0000-0002-8401-3751"},"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":false,"raw_author_name":"Mathias Niepert","raw_affiliation_strings":["Department of Computer Science, University of Washington, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Washington, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030955914","display_name":"Jan Noessner","orcid":null},"institutions":[{"id":"https://openalex.org/I4210125787","display_name":"Nuance Communications (United States)","ror":"https://ror.org/0311h6702","country_code":"US","type":"company","lineage":["https://openalex.org/I4210125787"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jan Noessner","raw_affiliation_strings":["Semanticsoftware, Sydney, Australia","Nuance Communications, Sunnyvale, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Semanticsoftware, Sydney, Australia","institution_ids":[]},{"raw_affiliation_string":"Nuance Communications, Sunnyvale, USA","institution_ids":["https://openalex.org/I4210125787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032511307","display_name":"Joerg Schoenfisch","orcid":null},"institutions":[{"id":"https://openalex.org/I177802217","display_name":"University of Mannheim","ror":"https://ror.org/031bsb921","country_code":"DE","type":"education","lineage":["https://openalex.org/I177802217"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Joerg Schoenfisch","raw_affiliation_strings":["Data- and Web Science Group, University of Mannheim, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data- and Web Science Group, University of Mannheim, Germany","institution_ids":["https://openalex.org/I177802217"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081017897","display_name":"Christian Meilicke","orcid":"https://orcid.org/0000-0002-0198-5396"},"institutions":[{"id":"https://openalex.org/I177802217","display_name":"University of Mannheim","ror":"https://ror.org/031bsb921","country_code":"DE","type":"education","lineage":["https://openalex.org/I177802217"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Meilicke","raw_affiliation_strings":["Data- and Web Science Group, University of Mannheim, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data- and Web Science Group, University of Mannheim, Germany","institution_ids":["https://openalex.org/I177802217"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050425933","display_name":"Heiner Stuckenschmidt","orcid":"https://orcid.org/0000-0002-0209-3859"},"institutions":[{"id":"https://openalex.org/I177802217","display_name":"University of Mannheim","ror":"https://ror.org/031bsb921","country_code":"DE","type":"education","lineage":["https://openalex.org/I177802217"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Heiner Stuckenschmidt","raw_affiliation_strings":["Data- and Web Science Group, University of Mannheim, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data- and Web Science Group, University of Mannheim, Germany","institution_ids":["https://openalex.org/I177802217"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5087268323"],"corresponding_institution_ids":["https://openalex.org/I177802217"],"apc_list":null,"apc_paid":null,"fwci":1.2993,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.86365169,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"8","issue":"2","first_page":"255","last_page":"269"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9994000196456909,"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":0.9994000196456909,"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/T11106","display_name":"Data Management and Algorithms","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/computer-science","display_name":"Computer science","score":0.7267950177192688},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6835589408874512},{"id":"https://openalex.org/keywords/semantic-reasoner","display_name":"Semantic reasoner","score":0.600914716720581},{"id":"https://openalex.org/keywords/description-logic","display_name":"Description logic","score":0.5928565263748169},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.4757780134677887},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.46207311749458313},{"id":"https://openalex.org/keywords/web-ontology-language","display_name":"Web Ontology Language","score":0.4578089416027069},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.45652690529823303},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4558526277542114},{"id":"https://openalex.org/keywords/ontology-language","display_name":"Ontology language","score":0.4554445743560791},{"id":"https://openalex.org/keywords/probabilistic-argumentation","display_name":"Probabilistic argumentation","score":0.4420424997806549},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.43731772899627686},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4202672839164734},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.4196312427520752},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3977780342102051},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2703201174736023}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7267950177192688},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6835589408874512},{"id":"https://openalex.org/C9616225","wikidata":"https://www.wikidata.org/wiki/Q3929429","display_name":"Semantic reasoner","level":2,"score":0.600914716720581},{"id":"https://openalex.org/C102993220","wikidata":"https://www.wikidata.org/wiki/Q387196","display_name":"Description logic","level":2,"score":0.5928565263748169},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.4757780134677887},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.46207311749458313},{"id":"https://openalex.org/C101230327","wikidata":"https://www.wikidata.org/wiki/Q826165","display_name":"Web Ontology Language","level":3,"score":0.4578089416027069},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.45652690529823303},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4558526277542114},{"id":"https://openalex.org/C61673122","wikidata":"https://www.wikidata.org/wiki/Q7095059","display_name":"Ontology language","level":3,"score":0.4554445743560791},{"id":"https://openalex.org/C128828806","wikidata":"https://www.wikidata.org/wiki/Q7246848","display_name":"Probabilistic argumentation","level":3,"score":0.4420424997806549},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.43731772899627686},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4202672839164734},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.4196312427520752},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3977780342102051},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2703201174736023}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/sw-160219","is_oa":true,"landing_page_url":"https://doi.org/10.3233/sw-160219","pdf_url":"https://content.iospress.com:443/download/semantic-web/sw219?id=semantic-web%2Fsw219","source":{"id":"https://openalex.org/S4210177235","display_name":"Semantic Web","issn_l":"1570-0844","issn":["1570-0844","2210-4968"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Semantic Web","raw_type":"journal-article"},{"id":"pmh:oai:ub-madoc.bib.uni-mannheim.de:41077","is_oa":false,"landing_page_url":"https://madoc.bib.uni-mannheim.de/41077/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196315","display_name":"MADOC (University of Mannheim)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177802217","host_organization_name":"University of Mannheim","host_organization_lineage":["https://openalex.org/I177802217"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Zeitschriftenartikel"}],"best_oa_location":{"id":"doi:10.3233/sw-160219","is_oa":true,"landing_page_url":"https://doi.org/10.3233/sw-160219","pdf_url":"https://content.iospress.com:443/download/semantic-web/sw219?id=semantic-web%2Fsw219","source":{"id":"https://openalex.org/S4210177235","display_name":"Semantic Web","issn_l":"1570-0844","issn":["1570-0844","2210-4968"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Semantic Web","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2302034627.pdf","grobid_xml":"https://content.openalex.org/works/W2302034627.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W33597454","https://openalex.org/W57650934","https://openalex.org/W62327733","https://openalex.org/W75251192","https://openalex.org/W76248504","https://openalex.org/W165814954","https://openalex.org/W744850673","https://openalex.org/W1461258677","https://openalex.org/W1528446492","https://openalex.org/W1528986923","https://openalex.org/W1538211826","https://openalex.org/W1552847225","https://openalex.org/W1554045846","https://openalex.org/W1568075819","https://openalex.org/W1680468009","https://openalex.org/W1824971879","https://openalex.org/W1907086563","https://openalex.org/W1974709582","https://openalex.org/W1977970897","https://openalex.org/W2012170877","https://openalex.org/W2019470559","https://openalex.org/W2053181911","https://openalex.org/W2055641305","https://openalex.org/W2056561071","https://openalex.org/W2118100588","https://openalex.org/W2132635174","https://openalex.org/W2133973199","https://openalex.org/W2142738471","https://openalex.org/W2161484642","https://openalex.org/W2164245141","https://openalex.org/W2167415306","https://openalex.org/W2202188011","https://openalex.org/W2396122826","https://openalex.org/W2398643456","https://openalex.org/W2585806604","https://openalex.org/W2586641388","https://openalex.org/W2606488140","https://openalex.org/W2912482211","https://openalex.org/W2950865781","https://openalex.org/W4237019651","https://openalex.org/W6828200113"],"related_works":["https://openalex.org/W201976190","https://openalex.org/W119226878","https://openalex.org/W2188933543","https://openalex.org/W2398931073","https://openalex.org/W2405742406","https://openalex.org/W2542061993","https://openalex.org/W1988576567","https://openalex.org/W1759289205","https://openalex.org/W2583641166","https://openalex.org/W131514358"],"abstract_inverted_index":{"We":[0,30,84],"present":[1],"an":[2,64],"infrastructure":[3,65,132],"for":[4,50,66,74,96,185],"probabilistic":[5,75,161],"reasoning":[6,76],"with":[7,26,77,109,146],"ontologies":[8],"based":[9,157],"on":[10,54,113,158],"our":[11,86,153,202],"Markov":[12,16,42],"logic":[13,17,25,43],"engine":[14],"RockIt.":[15],"is":[18,63,156,163],"a":[19,110,144,159],"template":[20],"language":[21],"that":[22,70,152,180],"combines":[23],"first-order":[24],"log-linear":[27],"graphical":[28],"models.":[29],"show":[31],"how":[32,45],"to":[33,41,46,136],"translate":[34],"OWL-EL":[35,80],"as":[36,38,169,171],"well":[37],"RDF":[39,82],"schema":[40],"and":[44,81,88,105,127],"us":[47],"e":[48],"RockIt":[49],"applying":[51],"MAP":[52],"inference":[53],"the":[55,141,177,186,190,193,198],"given":[56],"set":[57],"of":[58,99,143,165,176,192,201],"formulas.":[59],"The":[60,149],"resulting":[61],"system":[62,87],"log":[67],"linear":[68],"logics":[69],"can":[71],"be":[72],"used":[73],"both":[78],"extended":[79],"schema.":[83],"describe":[85],"illustrate":[89,118],"its":[90],"benefits":[91],"by":[92],"presenting":[93],"experimental":[94],"results":[95],"two":[97,119],"types":[98],"applications.":[100],"These":[101],"are":[102,124],"ontology":[103],"matching":[104],"knowledge":[106],"base":[107],"verification,":[108],"special":[111],"focus":[112],"temporal":[114],"reasoning.":[115],"Moreover,":[116,189],"we":[117],"further":[120],"use":[121,138],"cases":[122,139,196],"which":[123,155],"Activity":[125],"Recognition":[126],"Root":[128],"Cause":[129],"Analysis.":[130],"Our":[131],"has":[133],"been":[134,183],"applied":[135],"these":[137],"in":[140],"context":[142],"cooperation":[145],"industry":[147],"partners.":[148],"experiments":[150],"indicate":[151],"system,":[154],"well-founded":[160],"semantics,":[162],"capable":[164],"solving":[166],"relevant":[167],"problems":[168],"good":[170],"or":[172],"better":[173],"than":[174],"state":[175],"art":[178],"systems":[179],"have":[181],"specifically":[182],"designed":[184],"respective":[187],"problem.":[188],"heterogeneity":[191],"presented":[194],"uses":[195],"illustrates":[197],"wide":[199],"applicability":[200],"infrastructure.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
