{"id":"https://openalex.org/W4318185138","doi":"https://doi.org/10.1109/bigdata55660.2022.10020945","title":"A Business Workflow For Providing Open-Domain Question Answering Reader Systems on The Wikipedia Dataset","display_name":"A Business Workflow For Providing Open-Domain Question Answering Reader Systems on The Wikipedia Dataset","publication_year":2022,"publication_date":"2022-12-17","ids":{"openalex":"https://openalex.org/W4318185138","doi":"https://doi.org/10.1109/bigdata55660.2022.10020945"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata55660.2022.10020945","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata55660.2022.10020945","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Big Data (Big Data)","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/A5082540555","display_name":"Dilan Bak\u0131r","orcid":"https://orcid.org/0000-0001-6650-6942"},"institutions":[{"id":"https://openalex.org/I4101805","display_name":"Y\u0131ld\u0131z Technical University","ror":"https://ror.org/0547yzj13","country_code":"TR","type":"education","lineage":["https://openalex.org/I4101805"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Dilan Bakir","raw_affiliation_strings":["Yildiz Technical University,Computer Engineering Department,Istanbul,Turkey","Computer Engineering Department, Yildiz Technical University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Yildiz Technical University,Computer Engineering Department,Istanbul,Turkey","institution_ids":["https://openalex.org/I4101805"]},{"raw_affiliation_string":"Computer Engineering Department, Yildiz Technical University, Istanbul, Turkey","institution_ids":["https://openalex.org/I4101805"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036873257","display_name":"Mehmet S. Akta\u015f","orcid":"https://orcid.org/0000-0001-7908-5067"},"institutions":[{"id":"https://openalex.org/I4101805","display_name":"Y\u0131ld\u0131z Technical University","ror":"https://ror.org/0547yzj13","country_code":"TR","type":"education","lineage":["https://openalex.org/I4101805"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mehmet S. Aktas","raw_affiliation_strings":["Yildiz Technical University,Computer Engineering Department,Istanbul,Turkey","Computer Engineering Department, Yildiz Technical University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Yildiz Technical University,Computer Engineering Department,Istanbul,Turkey","institution_ids":["https://openalex.org/I4101805"]},{"raw_affiliation_string":"Computer Engineering Department, Yildiz Technical University, Istanbul, Turkey","institution_ids":["https://openalex.org/I4101805"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5082540555"],"corresponding_institution_ids":["https://openalex.org/I4101805"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19764059,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"21","issue":null,"first_page":"3308","last_page":"3314"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T12478","display_name":"Wikis in Education and Collaboration","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/workflow","display_name":"Workflow","score":0.8792732954025269},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8305532932281494},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.6451703310012817},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6193876266479492},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5884997844696045},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.5794069170951843},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.5562939047813416},{"id":"https://openalex.org/keywords/open-domain","display_name":"Open domain","score":0.5425030589103699},{"id":"https://openalex.org/keywords/workflow-engine","display_name":"Workflow engine","score":0.525601863861084},{"id":"https://openalex.org/keywords/workflow-technology","display_name":"Workflow technology","score":0.4186890125274658},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3906499743461609},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.2547118663787842},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.21723324060440063},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.09682631492614746},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.0827399492263794}],"concepts":[{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.8792732954025269},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8305532932281494},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.6451703310012817},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6193876266479492},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5884997844696045},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.5794069170951843},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.5562939047813416},{"id":"https://openalex.org/C2993776861","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Open domain","level":3,"score":0.5425030589103699},{"id":"https://openalex.org/C188220564","wikidata":"https://www.wikidata.org/wiki/Q3325097","display_name":"Workflow engine","level":3,"score":0.525601863861084},{"id":"https://openalex.org/C19612761","wikidata":"https://www.wikidata.org/wiki/Q8034836","display_name":"Workflow technology","level":3,"score":0.4186890125274658},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3906499743461609},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2547118663787842},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.21723324060440063},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.09682631492614746},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0827399492263794},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata55660.2022.10020945","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata55660.2022.10020945","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W398859631","https://openalex.org/W569478347","https://openalex.org/W1583837637","https://openalex.org/W1933349210","https://openalex.org/W1995532034","https://openalex.org/W2018242550","https://openalex.org/W2086768586","https://openalex.org/W2118463056","https://openalex.org/W2133564696","https://openalex.org/W2166761735","https://openalex.org/W2211192759","https://openalex.org/W2259512711","https://openalex.org/W2302086703","https://openalex.org/W2475542635","https://openalex.org/W2495332418","https://openalex.org/W2498947524","https://openalex.org/W2515863432","https://openalex.org/W2538640453","https://openalex.org/W2572157404","https://openalex.org/W2607303097","https://openalex.org/W2739921820","https://openalex.org/W2799081691","https://openalex.org/W2802226260","https://openalex.org/W2943392840","https://openalex.org/W2952484617","https://openalex.org/W2962809918","https://openalex.org/W2962965405","https://openalex.org/W2962985038","https://openalex.org/W2967827612","https://openalex.org/W2989312920","https://openalex.org/W3002072934","https://openalex.org/W3027879771","https://openalex.org/W3034999214","https://openalex.org/W3099700870","https://openalex.org/W3125238517","https://openalex.org/W3156789018","https://openalex.org/W3210737777","https://openalex.org/W4237389337","https://openalex.org/W4242177601","https://openalex.org/W4286459762","https://openalex.org/W4288089799","https://openalex.org/W4289865932","https://openalex.org/W4385245566","https://openalex.org/W6679434410","https://openalex.org/W6697449767","https://openalex.org/W6726253136","https://openalex.org/W6729654139","https://openalex.org/W6732742072","https://openalex.org/W6760019105","https://openalex.org/W6769627184","https://openalex.org/W6770413283","https://openalex.org/W6774222543","https://openalex.org/W6777615688","https://openalex.org/W6784180246","https://openalex.org/W6948213869"],"related_works":["https://openalex.org/W2036235887","https://openalex.org/W2369413522","https://openalex.org/W2991349604","https://openalex.org/W2288569318","https://openalex.org/W2129721971","https://openalex.org/W2081035100","https://openalex.org/W2132750915","https://openalex.org/W2124958301","https://openalex.org/W98143440","https://openalex.org/W2000729083"],"abstract_inverted_index":{"In":[0,102,128],"a":[1,16,110,138,148],"variety":[2],"of":[3,42,59,66,109,158],"sectors,":[4],"we":[5,105,131],"observe":[6],"the":[7,40,56,62,107,152,156,159,165,178],"emerging":[8],"need":[9,26],"for":[10,141],"responding":[11],"to":[12,36,61,77,117,154],"user":[13],"questions":[14,79,118],"in":[15,94,184],"fast":[17],"and":[18,47,99,136,169],"efficient":[19],"manner.":[20],"We":[21,145,163],"argue":[22],"that":[23,113,177],"addressing":[24],"this":[25,103,129],"by":[27,52],"developing":[28],"question":[29],"answering":[30],"reader":[31,134,143,186],"system":[32],"applications":[33,90],"will":[34],"lead":[35],"several":[37],"benefits:":[38],"a)":[39],"density":[41],"call":[43],"centers":[44],"is":[45,50],"reduced,":[46],"b)":[48],"time":[49],"saved":[51],"getting":[53],"answers":[54,76,116],"through":[55,119],"application":[57,150],"instead":[58],"going":[60],"company":[63],"itself.":[64],"Examples":[65],"these":[67],"applications,":[68],"such":[69,85,124],"as":[70,86,125],"search":[71],"engines":[72],"help":[73],"users":[74],"find":[75],"their":[78],"on":[80,151],"documents":[81,120],"containing":[82,121],"important":[83,122],"information,":[84,123],"legal":[87,100,126],"documents.":[88,101,127],"These":[89],"can":[91,114],"be":[92],"applied":[93],"digital":[95],"banking,":[96],"electronic":[97],"commerce,":[98],"study,":[104,130],"investigate":[106,155],"design":[108],"business":[111,139,161],"workflow":[112,140],"provide":[115],"examine":[132],"open-domain":[133,142,185],"systems":[135],"propose":[137],"systems.":[144,187],"are":[146],"implementing":[147],"prototype":[149],"dataset":[153],"usability":[157],"proposed":[160],"workflow.":[162],"discuss":[164],"prototype\u2019s":[166],"implementation":[167],"details":[168],"share":[170],"its":[171],"evaluation":[172],"results.":[173],"The":[174],"results":[175,183],"show":[176],"T5-based":[179],"model":[180],"provides":[181],"better":[182]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
