{"id":"https://openalex.org/W1591356244","doi":"https://doi.org/10.1007/bfb0027312","title":"Stochastic propositionalization of non-determinate background knowledge","display_name":"Stochastic propositionalization of non-determinate background knowledge","publication_year":1998,"publication_date":"1998-01-01","ids":{"openalex":"https://openalex.org/W1591356244","doi":"https://doi.org/10.1007/bfb0027312","mag":"1591356244"},"language":"en","primary_location":{"id":"doi:10.1007/bfb0027312","is_oa":false,"landing_page_url":"https://doi.org/10.1007/bfb0027312","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"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/A5065499629","display_name":"Stefan Kramer","orcid":null},"institutions":[{"id":"https://openalex.org/I161878677","display_name":"Austrian Research Institute for Artificial Intelligence","ror":"https://ror.org/04j47vk14","country_code":"AT","type":"facility","lineage":["https://openalex.org/I161878677","https://openalex.org/I4210107880"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Stefan Kramer","raw_affiliation_strings":["Austrian Research Institute for Artificial Intelligence, Vienna, Austria","Austrian Research Institute for Artificial Intelligence#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Austrian Research Institute for Artificial Intelligence, Vienna, Austria","institution_ids":["https://openalex.org/I161878677"]},{"raw_affiliation_string":"Austrian Research Institute for Artificial Intelligence#TAB#","institution_ids":["https://openalex.org/I161878677"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087785022","display_name":"Bernhard Pfahringer","orcid":"https://orcid.org/0000-0002-3732-5787"},"institutions":[{"id":"https://openalex.org/I161878677","display_name":"Austrian Research Institute for Artificial Intelligence","ror":"https://ror.org/04j47vk14","country_code":"AT","type":"facility","lineage":["https://openalex.org/I161878677","https://openalex.org/I4210107880"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Bernhard Pfahringer","raw_affiliation_strings":["Austrian Research Institute for Artificial Intelligence, Vienna, Austria","Austrian Research Institute for Artificial Intelligence#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Austrian Research Institute for Artificial Intelligence, Vienna, Austria","institution_ids":["https://openalex.org/I161878677"]},{"raw_affiliation_string":"Austrian Research Institute for Artificial Intelligence#TAB#","institution_ids":["https://openalex.org/I161878677"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066862195","display_name":"Christoph Helma","orcid":"https://orcid.org/0000-0002-2640-798X"},"institutions":[{"id":"https://openalex.org/I129774422","display_name":"University of Vienna","ror":"https://ror.org/03prydq77","country_code":"AT","type":"education","lineage":["https://openalex.org/I129774422"]},{"id":"https://openalex.org/I4210151154","display_name":"Ludwig Boltzmann Institute for Cancer Research","ror":"https://ror.org/04abv6630","country_code":"AT","type":"facility","lineage":["https://openalex.org/I2799334681","https://openalex.org/I4210151154"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Christoph Helma","raw_affiliation_strings":["Institute for Tumor Biology - Cancer Research, University of Vienna, Vienna, Austria","Univ. of Vienna#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Tumor Biology - Cancer Research, University of Vienna, Vienna, Austria","institution_ids":["https://openalex.org/I129774422","https://openalex.org/I4210151154"]},{"raw_affiliation_string":"Univ. of Vienna#TAB#","institution_ids":["https://openalex.org/I129774422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":3.2762,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.92540644,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"80","last_page":"94"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.9955000281333923,"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/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.9955000281333923,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9943000078201294,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9940000176429749,"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/inductive-logic-programming","display_name":"Inductive logic programming","score":0.7918553352355957},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7541835308074951},{"id":"https://openalex.org/keywords/binary-relation","display_name":"Binary relation","score":0.5673638582229614},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5095182061195374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5040177702903748},{"id":"https://openalex.org/keywords/statistical-relational-learning","display_name":"Statistical relational learning","score":0.49676376581192017},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4581739902496338},{"id":"https://openalex.org/keywords/constructive","display_name":"Constructive","score":0.44471102952957153},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4399726986885071},{"id":"https://openalex.org/keywords/binary-decision-diagram","display_name":"Binary decision diagram","score":0.4282289743423462},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39233094453811646},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32821333408355713},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.3063531517982483},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.22306418418884277},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.17958015203475952},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15789970755577087},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.09826391935348511},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.09124526381492615}],"concepts":[{"id":"https://openalex.org/C2779382394","wikidata":"https://www.wikidata.org/wiki/Q1464197","display_name":"Inductive logic programming","level":2,"score":0.7918553352355957},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7541835308074951},{"id":"https://openalex.org/C65180967","wikidata":"https://www.wikidata.org/wiki/Q130901","display_name":"Binary relation","level":2,"score":0.5673638582229614},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5095182061195374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5040177702903748},{"id":"https://openalex.org/C177877439","wikidata":"https://www.wikidata.org/wiki/Q7604413","display_name":"Statistical relational learning","level":3,"score":0.49676376581192017},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4581739902496338},{"id":"https://openalex.org/C2778701210","wikidata":"https://www.wikidata.org/wiki/Q28130034","display_name":"Constructive","level":3,"score":0.44471102952957153},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4399726986885071},{"id":"https://openalex.org/C3309909","wikidata":"https://www.wikidata.org/wiki/Q864155","display_name":"Binary decision diagram","level":2,"score":0.4282289743423462},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39233094453811646},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32821333408355713},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.3063531517982483},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.22306418418884277},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.17958015203475952},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15789970755577087},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.09826391935348511},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.09124526381492615},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/bfb0027312","is_oa":false,"landing_page_url":"https://doi.org/10.1007/bfb0027312","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.45.6019","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.45.6019","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ftp://ftp.ai.univie.ac.at/papers/oefai-tr-98-10.ps.gz","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.45.8537","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.45.8537","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ftp://ftp.ai.univie.ac.at/papers/oefai-tr-97-17.ps.gz","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.56.1548","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.56.1548","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.kuleuven.ac.be/~lucdr/filp-papers/kramer2.ps","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2431488","https://openalex.org/W10678874","https://openalex.org/W28558063","https://openalex.org/W597410826","https://openalex.org/W1482577311","https://openalex.org/W1485712894","https://openalex.org/W1516145264","https://openalex.org/W1517178556","https://openalex.org/W1522359868","https://openalex.org/W1590733741","https://openalex.org/W1610301803","https://openalex.org/W1622138526","https://openalex.org/W1971721885","https://openalex.org/W1999138184","https://openalex.org/W2054658115","https://openalex.org/W2059602918","https://openalex.org/W2119831128","https://openalex.org/W2124996875","https://openalex.org/W2125055259","https://openalex.org/W2132312105","https://openalex.org/W4230810393","https://openalex.org/W4247635303","https://openalex.org/W6631075116","https://openalex.org/W6686482619"],"related_works":["https://openalex.org/W1489817210","https://openalex.org/W1605272418","https://openalex.org/W1987457987","https://openalex.org/W2734531055","https://openalex.org/W3181676408","https://openalex.org/W320292658","https://openalex.org/W2001007279","https://openalex.org/W2079674650","https://openalex.org/W1523236614","https://openalex.org/W2596625410"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-08-08T01:25:22.217667","created_date":"2025-10-10T00:00:00"}
