{"id":"https://openalex.org/W4390738255","doi":"https://doi.org/10.3390/make6010007","title":"Knowledge Graph Extraction of Business Interactions from News Text for Business Networking Analysis","display_name":"Knowledge Graph Extraction of Business Interactions from News Text for Business Networking Analysis","publication_year":2024,"publication_date":"2024-01-07","ids":{"openalex":"https://openalex.org/W4390738255","doi":"https://doi.org/10.3390/make6010007"},"language":"en","primary_location":{"id":"doi:10.3390/make6010007","is_oa":true,"landing_page_url":"https://doi.org/10.3390/make6010007","pdf_url":"https://www.mdpi.com/2504-4990/6/1/7/pdf?version=1704692150","source":{"id":"https://openalex.org/S4210213891","display_name":"Machine Learning and Knowledge Extraction","issn_l":"2504-4990","issn":["2504-4990"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning and Knowledge Extraction","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2504-4990/6/1/7/pdf?version=1704692150","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083521711","display_name":"Didier Gohourou","orcid":"https://orcid.org/0000-0003-0886-6354"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Didier Gohourou","raw_affiliation_strings":["Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu 525-8577, Shiga, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu 525-8577, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011638990","display_name":"Kazuhiro Kuwabara","orcid":"https://orcid.org/0000-0003-3493-1076"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuhiro Kuwabara","raw_affiliation_strings":["Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu 525-8577, Shiga, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu 525-8577, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5083521711"],"corresponding_institution_ids":["https://openalex.org/I135768898"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.7274,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72446136,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"6","issue":"1","first_page":"126","last_page":"142"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9994999766349792,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9994999766349792,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9975000023841858,"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":0.8023769855499268},{"id":"https://openalex.org/keywords/unstructured-data","display_name":"Unstructured data","score":0.7224479913711548},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.6417737007141113},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5429747700691223},{"id":"https://openalex.org/keywords/business-intelligence","display_name":"Business intelligence","score":0.5200685858726501},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.49160489439964294},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4682748317718506},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4515579640865326},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.43156197667121887},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.41752752661705017},{"id":"https://openalex.org/keywords/business-process-discovery","display_name":"Business process discovery","score":0.41728726029396057},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3785037398338318},{"id":"https://openalex.org/keywords/business-process-modeling","display_name":"Business process modeling","score":0.3494557738304138},{"id":"https://openalex.org/keywords/business-process","display_name":"Business process","score":0.3417811393737793},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.3347843885421753},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32632678747177124},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.26080989837646484},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2349158525466919},{"id":"https://openalex.org/keywords/work-in-process","display_name":"Work in process","score":0.10818055272102356}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8023769855499268},{"id":"https://openalex.org/C2781252014","wikidata":"https://www.wikidata.org/wiki/Q1141900","display_name":"Unstructured data","level":3,"score":0.7224479913711548},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.6417737007141113},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5429747700691223},{"id":"https://openalex.org/C2767350","wikidata":"https://www.wikidata.org/wiki/Q6662173","display_name":"Business intelligence","level":2,"score":0.5200685858726501},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.49160489439964294},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4682748317718506},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4515579640865326},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.43156197667121887},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.41752752661705017},{"id":"https://openalex.org/C93453677","wikidata":"https://www.wikidata.org/wiki/Q1017580","display_name":"Business process discovery","level":5,"score":0.41728726029396057},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3785037398338318},{"id":"https://openalex.org/C207505557","wikidata":"https://www.wikidata.org/wiki/Q4374012","display_name":"Business process modeling","level":4,"score":0.3494557738304138},{"id":"https://openalex.org/C85345410","wikidata":"https://www.wikidata.org/wiki/Q851587","display_name":"Business process","level":3,"score":0.3417811393737793},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.3347843885421753},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32632678747177124},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.26080989837646484},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2349158525466919},{"id":"https://openalex.org/C174998907","wikidata":"https://www.wikidata.org/wiki/Q357662","display_name":"Work in process","level":2,"score":0.10818055272102356},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/make6010007","is_oa":true,"landing_page_url":"https://doi.org/10.3390/make6010007","pdf_url":"https://www.mdpi.com/2504-4990/6/1/7/pdf?version=1704692150","source":{"id":"https://openalex.org/S4210213891","display_name":"Machine Learning and Knowledge Extraction","issn_l":"2504-4990","issn":["2504-4990"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning and Knowledge Extraction","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bb733fa5de714a1e82d87ca9b28c9536","is_oa":true,"landing_page_url":"https://doaj.org/article/bb733fa5de714a1e82d87ca9b28c9536","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning and Knowledge Extraction, Vol 6, Iss 1, Pp 126-142 (2024)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2504-4990/6/1/7/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/make6010007","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning and Knowledge Extraction","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/make6010007","is_oa":true,"landing_page_url":"https://doi.org/10.3390/make6010007","pdf_url":"https://www.mdpi.com/2504-4990/6/1/7/pdf?version=1704692150","source":{"id":"https://openalex.org/S4210213891","display_name":"Machine Learning and Knowledge Extraction","issn_l":"2504-4990","issn":["2504-4990"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning and Knowledge Extraction","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4390738255.pdf"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W168564468","https://openalex.org/W1665997306","https://openalex.org/W2041614298","https://openalex.org/W2081580037","https://openalex.org/W2101234009","https://openalex.org/W2107658650","https://openalex.org/W2123442489","https://openalex.org/W2154851992","https://openalex.org/W2168190036","https://openalex.org/W2251913848","https://openalex.org/W2519887557","https://openalex.org/W2777063490","https://openalex.org/W2838122361","https://openalex.org/W2896457183","https://openalex.org/W2946345909","https://openalex.org/W2972535098","https://openalex.org/W3011594683","https://openalex.org/W3012776832","https://openalex.org/W3045237327","https://openalex.org/W3081481921","https://openalex.org/W3091993229","https://openalex.org/W3100078588","https://openalex.org/W3101413764","https://openalex.org/W3104097132","https://openalex.org/W3104748221","https://openalex.org/W3113434508","https://openalex.org/W3131198033","https://openalex.org/W3149331345","https://openalex.org/W3157999218","https://openalex.org/W3177828909","https://openalex.org/W4230952956","https://openalex.org/W4292779060","https://openalex.org/W4293195719","https://openalex.org/W4294170691","https://openalex.org/W4313007903","https://openalex.org/W4386443326","https://openalex.org/W6675354045","https://openalex.org/W6682691769","https://openalex.org/W6691310977","https://openalex.org/W6774977730","https://openalex.org/W6776488958","https://openalex.org/W6778883912"],"related_works":["https://openalex.org/W2097547132","https://openalex.org/W2030910246","https://openalex.org/W2150478723","https://openalex.org/W4365511202","https://openalex.org/W2184258672","https://openalex.org/W4300560926","https://openalex.org/W2142618121","https://openalex.org/W4389912246","https://openalex.org/W2096807669","https://openalex.org/W2424740894"],"abstract_inverted_index":{"Network":[0],"representation":[1],"of":[2,9,21,35,61,71,92,133],"data":[3,22,38,49,79],"is":[4,31],"key":[5],"to":[6,27,45,98],"a":[7,51,73,81],"variety":[8],"fields":[10],"and":[11,16,69,107,114,129],"their":[12],"applications":[13],"including":[14,58],"trading":[15],"business.":[17],"A":[18],"major":[19],"source":[20],"that":[23,75,110],"can":[24],"be":[25],"used":[26,97],"build":[28],"insightful":[29],"networks":[30],"the":[32,41,59,62,67,84,90,100,105,112,115,127,134],"abundant":[33],"amount":[34],"unstructured":[36,47,77],"text":[37,48,78],"available":[39],"through":[40],"web.":[42],"The":[43,117],"efforts":[44],"turn":[46],"into":[50,80],"network":[52],"have":[53],"spawned":[54],"different":[55],"research":[56],"endeavors,":[57],"simplification":[60],"process.":[63],"This":[64],"study":[65,118],"presents":[66,120],"design":[68],"implementation":[70],"TraCER,":[72],"pipeline":[74],"turns":[76],"graph,":[82],"targeting":[83],"business":[85],"networking":[86],"domain.":[87],"It":[88],"describes":[89],"application":[91],"natural":[93],"language":[94],"processing":[95],"techniques":[96],"process":[99],"text,":[101],"as":[102,104],"well":[103],"heuristics":[106],"learning":[108],"algorithms":[109],"categorize":[111],"nodes":[113],"links.":[116],"also":[119],"some":[121],"simple":[122],"yet":[123],"efficient":[124],"methods":[125],"for":[126],"entity-linking":[128],"relation":[130],"classification":[131],"steps":[132],"pipeline.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}
