{"id":"https://openalex.org/W7163752961","doi":"https://doi.org/10.1007/978-3-032-27997-2_30","title":"Object-Centric Event Data: Conceptualization, Extraction and Querying","display_name":"Object-Centric Event Data: Conceptualization, Extraction and Querying","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7163752961","doi":"https://doi.org/10.1007/978-3-032-27997-2_30"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-032-27997-2_30","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-27997-2_30","pdf_url":null,"source":{"id":"https://openalex.org/S4210177767","display_name":"Lecture notes in business information processing","issn_l":"1865-1348","issn":["1865-1348","1865-1356"],"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 Business Information Processing","raw_type":"book-chapter"},"type":"book-chapter","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/A5120846918","display_name":"Hosna Hooshyar","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hosna Hooshyar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5120846918"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.64998146,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"278","last_page":"286"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.19220000505447388,"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"}},"topics":[{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.19220000505447388,"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/T10703","display_name":"Business Process Modeling and Analysis","score":0.08739999681711197,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.08420000225305557,"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/event","display_name":"Event (particle physics)","score":0.5889999866485596},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.34869998693466187},{"id":"https://openalex.org/keywords/event-data","display_name":"Event data","score":0.34119999408721924},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.3138999938964844},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.31139999628067017}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.659600019454956},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5889999866485596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4239000082015991},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38600000739097595},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.34869998693466187},{"id":"https://openalex.org/C2987896495","wikidata":"https://www.wikidata.org/wiki/Q5416716","display_name":"Event data","level":3,"score":0.34119999408721924},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.3138999938964844},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.31139999628067017},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.2858999967575073},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2759999930858612}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-032-27997-2_30","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-27997-2_30","pdf_url":null,"source":{"id":"https://openalex.org/S4210177767","display_name":"Lecture notes in business information processing","issn_l":"1865-1348","issn":["1865-1348","1865-1356"],"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 Business Information Processing","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W42907978","https://openalex.org/W2468625138","https://openalex.org/W2518389812","https://openalex.org/W2971437256","https://openalex.org/W2990205779","https://openalex.org/W3169710019","https://openalex.org/W3190222600","https://openalex.org/W3204240806","https://openalex.org/W4200230695","https://openalex.org/W4285242689","https://openalex.org/W4294837455","https://openalex.org/W4296594291","https://openalex.org/W4312338250","https://openalex.org/W4360971525","https://openalex.org/W4360974133","https://openalex.org/W4382813364","https://openalex.org/W4394750750","https://openalex.org/W4400005863","https://openalex.org/W4410392417","https://openalex.org/W4411296175"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2026-06-07T00:00:00"}