{"id":"https://openalex.org/W2782800036","doi":"https://doi.org/10.1109/bigdata.2017.8258073","title":"Implementing scalable structured machine learning for big data in the SAKE project","display_name":"Implementing scalable structured machine learning for big data in the SAKE project","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2782800036","doi":"https://doi.org/10.1109/bigdata.2017.8258073","mag":"2782800036"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2017.8258073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2017.8258073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"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/A5019235900","display_name":"Simon Bin","orcid":null},"institutions":[{"id":"https://openalex.org/I926574661","display_name":"Leipzig University","ror":"https://ror.org/03s7gtk40","country_code":"DE","type":"education","lineage":["https://openalex.org/I926574661"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Simon Bin","raw_affiliation_strings":["AKSW Research Group University of Leipzig Leipzig, Germany","AKSW Research Group, University of Leipzig, Leipzig, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AKSW Research Group University of Leipzig Leipzig, Germany","institution_ids":["https://openalex.org/I926574661"]},{"raw_affiliation_string":"AKSW Research Group, University of Leipzig, Leipzig, Germany","institution_ids":["https://openalex.org/I926574661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031433144","display_name":"Patrick Westphal","orcid":"https://orcid.org/0000-0002-3855-4485"},"institutions":[{"id":"https://openalex.org/I926574661","display_name":"Leipzig University","ror":"https://ror.org/03s7gtk40","country_code":"DE","type":"education","lineage":["https://openalex.org/I926574661"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Patrick Westphal","raw_affiliation_strings":["AKSW Research Group University of Leipzig Leipzig, Germany","AKSW Research Group, University of Leipzig, Leipzig, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AKSW Research Group University of Leipzig Leipzig, Germany","institution_ids":["https://openalex.org/I926574661"]},{"raw_affiliation_string":"AKSW Research Group, University of Leipzig, Leipzig, Germany","institution_ids":["https://openalex.org/I926574661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067133778","display_name":"Jens Lehmann","orcid":"https://orcid.org/0000-0001-9108-4278"},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jens Lehmann","raw_affiliation_strings":["Fraunhofer IAIS and University of Bonn Bonn, Germany","Fraunhofer IAIS and University of Bonn, Bonn, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer IAIS and University of Bonn Bonn, Germany","institution_ids":["https://openalex.org/I135140700"]},{"raw_affiliation_string":"Fraunhofer IAIS and University of Bonn, Bonn, Germany","institution_ids":["https://openalex.org/I135140700"]}]},{"author_position":"last","author":{"id":null,"display_name":"Axel Ngonga","orcid":null},"institutions":[{"id":"https://openalex.org/I206945453","display_name":"Paderborn University","ror":"https://ror.org/058kzsd48","country_code":"DE","type":"education","lineage":["https://openalex.org/I206945453"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Axel Ngonga","raw_affiliation_strings":["Data Science Group University of Paderborn Paderborn, Germany","AKSW Research Group, University of Leipzig, Leipzig, Paderborn, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Science Group University of Paderborn Paderborn, Germany","institution_ids":["https://openalex.org/I206945453"]},{"raw_affiliation_string":"AKSW Research Group, University of Leipzig, Leipzig, Paderborn, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1384,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.46864107,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"65","issue":null,"first_page":"1400","last_page":"1407"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9995999932289124,"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":0.9995999932289124,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11986","display_name":"Scientific Computing and Data Management","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"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":0.8778727054595947},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6774673461914062},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.6324752569198608},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5750688910484314},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.5692325830459595},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.5494135022163391},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.5415890216827393},{"id":"https://openalex.org/keywords/semi-structured-data","display_name":"Semi-structured data","score":0.4298049211502075},{"id":"https://openalex.org/keywords/ontology-learning","display_name":"Ontology learning","score":0.42085617780685425},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38959938287734985},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.37715864181518555},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.36949169635772705},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36283737421035767},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.23770412802696228},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.15274262428283691},{"id":"https://openalex.org/keywords/ontology-based-data-integration","display_name":"Ontology-based data integration","score":0.13020959496498108}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8778727054595947},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6774673461914062},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.6324752569198608},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5750688910484314},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.5692325830459595},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.5494135022163391},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.5415890216827393},{"id":"https://openalex.org/C40077939","wikidata":"https://www.wikidata.org/wiki/Q2336004","display_name":"Semi-structured data","level":3,"score":0.4298049211502075},{"id":"https://openalex.org/C2777002027","wikidata":"https://www.wikidata.org/wiki/Q3620938","display_name":"Ontology learning","level":5,"score":0.42085617780685425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38959938287734985},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.37715864181518555},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.36949169635772705},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36283737421035767},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.23770412802696228},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.15274262428283691},{"id":"https://openalex.org/C22550185","wikidata":"https://www.wikidata.org/wiki/Q7095047","display_name":"Ontology-based data integration","level":3,"score":0.13020959496498108},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C50971890","wikidata":"https://www.wikidata.org/wiki/Q7635093","display_name":"Suggested Upper Merged Ontology","level":4,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata.2017.8258073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2017.8258073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/399538","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/399538","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"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":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W342586941","https://openalex.org/W1483205977","https://openalex.org/W1555563750","https://openalex.org/W1613727623","https://openalex.org/W2127378806","https://openalex.org/W2165901933","https://openalex.org/W2404396650","https://openalex.org/W2470728525","https://openalex.org/W2572508631","https://openalex.org/W2576585609","https://openalex.org/W2578663689","https://openalex.org/W2605104193","https://openalex.org/W2607088073","https://openalex.org/W2618270959","https://openalex.org/W2764318100","https://openalex.org/W2769086665","https://openalex.org/W2886753672","https://openalex.org/W2996508208","https://openalex.org/W6713449390","https://openalex.org/W6731945860","https://openalex.org/W6732077745","https://openalex.org/W6732361677","https://openalex.org/W6753825497","https://openalex.org/W7057139155"],"related_works":["https://openalex.org/W2403539072","https://openalex.org/W2776293731","https://openalex.org/W2965230088","https://openalex.org/W4293389049","https://openalex.org/W1534806717","https://openalex.org/W2550790379","https://openalex.org/W2610919777","https://openalex.org/W156656192","https://openalex.org/W1977140384","https://openalex.org/W2117378499"],"abstract_inverted_index":{"Exploration":[0],"and":[1,20,31],"analysis":[2],"of":[3,6,17,61],"large":[4],"amounts":[5],"machine":[7],"generated":[8],"data":[9,28,63],"requires":[10],"innovative":[11],"approaches.":[12],"We":[13],"propose":[14],"a":[15,37],"combination":[16],"Semantic":[18],"Web":[19,41],"Machine":[21],"Learning":[22],"to":[23,33,36,53,67,80],"facilitate":[24],"the":[25,40,51,62],"analysis.":[26],"First,":[27],"is":[29],"collected":[30],"converted":[32],"RDF":[34],"according":[35],"schema":[38],"in":[39,73],"Ontology":[42],"Language":[43],"OWL.":[44],"Several":[45],"components":[46],"can":[47],"continue":[48],"working":[49],"with":[50],"data,":[52],"interlink,":[54],"label,":[55],"augment,":[56],"or":[57],"classify.":[58],"The":[59],"size":[60],"poses":[64],"new":[65],"challenges":[66],"existing":[68],"solutions,":[69],"which":[70],"we":[71],"solve":[72],"this":[74],"contribution":[75],"by":[76],"transitioning":[77],"from":[78],"in-memory":[79],"database.":[81]},"counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
