{"id":"https://openalex.org/W2155265207","doi":"https://doi.org/10.1109/icdew.2010.5452755","title":"BI-style relation discovery among entities in text","display_name":"BI-style relation discovery among entities in text","publication_year":2010,"publication_date":"2010-03-01","ids":{"openalex":"https://openalex.org/W2155265207","doi":"https://doi.org/10.1109/icdew.2010.5452755","mag":"2155265207"},"language":"en","primary_location":{"id":"doi:10.1109/icdew.2010.5452755","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdew.2010.5452755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010)","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/A5045754291","display_name":"Wojciech M. Barczy\u0144ski","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135152","display_name":"Roland Ernst Stiftung","ror":"https://ror.org/03m629g08","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I4210135152"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Wojciech M. Barczynski","raw_affiliation_strings":["SAP AG, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"SAP AG, Dresden, Germany","institution_ids":["https://openalex.org/I4210135152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026608646","display_name":"Falk Brauer","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135152","display_name":"Roland Ernst Stiftung","ror":"https://ror.org/03m629g08","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I4210135152"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Falk Brauer","raw_affiliation_strings":["SAP AG, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"SAP AG, Dresden, Germany","institution_ids":["https://openalex.org/I4210135152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056919803","display_name":"Adrian Mocan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135152","display_name":"Roland Ernst Stiftung","ror":"https://ror.org/03m629g08","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I4210135152"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Adrian Mocan","raw_affiliation_strings":["SAP AG, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"SAP AG, Dresden, Germany","institution_ids":["https://openalex.org/I4210135152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109878153","display_name":"Marcus Schramm","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135152","display_name":"Roland Ernst Stiftung","ror":"https://ror.org/03m629g08","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I4210135152"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marcus Schramm","raw_affiliation_strings":["SAP AG, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"SAP AG, Dresden, Germany","institution_ids":["https://openalex.org/I4210135152"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036601275","display_name":"Jan Froemberg","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135152","display_name":"Roland Ernst Stiftung","ror":"https://ror.org/03m629g08","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I4210135152"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jan Froemberg","raw_affiliation_strings":["SAP AG, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"SAP AG, Dresden, Germany","institution_ids":["https://openalex.org/I4210135152"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5045754291"],"corresponding_institution_ids":["https://openalex.org/I4210135152"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.21406539,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"171","last_page":"174"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9987999796867371,"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"}},{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9976000189781189,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.996399998664856,"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/computer-science","display_name":"Computer science","score":0.7656999826431274},{"id":"https://openalex.org/keywords/online-analytical-processing","display_name":"Online analytical processing","score":0.721641480922699},{"id":"https://openalex.org/keywords/business-intelligence","display_name":"Business intelligence","score":0.6890743970870972},{"id":"https://openalex.org/keywords/unstructured-data","display_name":"Unstructured data","score":0.6106858849525452},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.597387433052063},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5756171345710754},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5703981518745422},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5699178576469421},{"id":"https://openalex.org/keywords/scrutiny","display_name":"Scrutiny","score":0.5385585427284241},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5019068717956543},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.49870800971984863},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.44470229744911194},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4420281648635864},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.35328829288482666},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32215166091918945},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2564241290092468},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.1442117989063263}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7656999826431274},{"id":"https://openalex.org/C201932085","wikidata":"https://www.wikidata.org/wiki/Q642514","display_name":"Online analytical processing","level":3,"score":0.721641480922699},{"id":"https://openalex.org/C2767350","wikidata":"https://www.wikidata.org/wiki/Q6662173","display_name":"Business intelligence","level":2,"score":0.6890743970870972},{"id":"https://openalex.org/C2781252014","wikidata":"https://www.wikidata.org/wiki/Q1141900","display_name":"Unstructured data","level":3,"score":0.6106858849525452},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.597387433052063},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5756171345710754},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5703981518745422},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5699178576469421},{"id":"https://openalex.org/C2776050585","wikidata":"https://www.wikidata.org/wiki/Q7439360","display_name":"Scrutiny","level":2,"score":0.5385585427284241},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5019068717956543},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.49870800971984863},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.44470229744911194},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4420281648635864},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.35328829288482666},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32215166091918945},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2564241290092468},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.1442117989063263},{"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdew.2010.5452755","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdew.2010.5452755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W56165858","https://openalex.org/W2021651959","https://openalex.org/W2035266017","https://openalex.org/W2063153019","https://openalex.org/W2102460586","https://openalex.org/W2123061032","https://openalex.org/W2148007729","https://openalex.org/W2913389685","https://openalex.org/W6602288731"],"related_works":["https://openalex.org/W871714347","https://openalex.org/W1202170028","https://openalex.org/W208715492","https://openalex.org/W2186969963","https://openalex.org/W2994505632","https://openalex.org/W2586269375","https://openalex.org/W2072434258","https://openalex.org/W3082564695","https://openalex.org/W23190051","https://openalex.org/W4229708142"],"abstract_inverted_index":{"Business":[0],"Intelligence":[1],"(BI)":[2],"over":[3],"unstructured":[4,24],"text":[5,25],"is":[6,44],"under":[7],"intense":[8],"scrutiny":[9],"both":[10],"in":[11,17,57,76],"industry":[12],"and":[13,31,52,72],"research.":[14],"Recent":[15],"work":[16],"this":[18],"field":[19],"includes":[20],"automatic":[21],"integration":[22],"of":[23,37],"into":[26],"BI":[27],"systems,":[28],"model":[29,71],"recognition,":[30],"probabilistic":[32],"databases":[33],"to":[34,45,48,68],"handle":[35],"uncertainty":[36],"Information":[38],"Extraction":[39],"(IE)":[40],"results.":[41],"Our":[42],"aim":[43],"use":[46],"analytics":[47],"discover":[49],"statistically":[50],"relevant":[51],"unknown":[53],"relationship":[54],"between":[55],"entities":[56],"documents'":[58],"fragments.":[59],"We":[60],"present":[61],"a":[62,77],"method":[63],"for":[64,81],"transforming":[65],"IE":[66],"results":[67],"an":[69],"OLAP":[70],"we":[73],"demonstrate":[74],"it":[75],"real":[78],"world":[79],"scenario":[80],"the":[82],"SAP":[83],"Community":[84],"Network.":[85]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
