{"id":"https://openalex.org/W2407129756","doi":"https://doi.org/10.1145/2908131.2908209","title":"Estimating domain specificity for effective crowdsourcing of link prediction and schema mapping","display_name":"Estimating domain specificity for effective crowdsourcing of link prediction and schema mapping","publication_year":2016,"publication_date":"2016-05-18","ids":{"openalex":"https://openalex.org/W2407129756","doi":"https://doi.org/10.1145/2908131.2908209","mag":"2407129756"},"language":"en","primary_location":{"id":"doi:10.1145/2908131.2908209","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2908131.2908209","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM Conference on Web Science","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/A5038081564","display_name":"Ujwal Gadiraju","orcid":"https://orcid.org/0000-0002-6189-6539"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ujwal Gadiraju","raw_affiliation_strings":["Leibniz Universit\u00e4t Hannover, Appelstr, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leibniz Universit\u00e4t Hannover, Appelstr, Germany","institution_ids":["https://openalex.org/I114112103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067981741","display_name":"Patrick Siehndel","orcid":null},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Patrick Siehndel","raw_affiliation_strings":["Leibniz Universit\u00e4t Hannover, Appelstr, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leibniz Universit\u00e4t Hannover, Appelstr, Germany","institution_ids":["https://openalex.org/I114112103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070728314","display_name":"Stefan Dietze","orcid":"https://orcid.org/0009-0001-4364-9243"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan Dietze","raw_affiliation_strings":["Leibniz Universit\u00e4t Hannover, Appelstr, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leibniz Universit\u00e4t Hannover, Appelstr, Germany","institution_ids":["https://openalex.org/I114112103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0367048,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"323","last_page":"324"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.9940000176429749,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9932000041007996,"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/crowdsourcing","display_name":"Crowdsourcing","score":0.9443321228027344},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8244743347167969},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.7545421123504639},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5945022702217102},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4678282141685486},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.4475407004356384},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4323580265045166},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.4322133958339691},{"id":"https://openalex.org/keywords/link-analysis","display_name":"Link analysis","score":0.4283464252948761},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4056798219680786},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3752133846282959},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33200493454933167},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3294646441936493},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.16591936349868774}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.9443321228027344},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8244743347167969},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.7545421123504639},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5945022702217102},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4678282141685486},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.4475407004356384},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4323580265045166},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.4322133958339691},{"id":"https://openalex.org/C1173588","wikidata":"https://www.wikidata.org/wiki/Q6554294","display_name":"Link analysis","level":2,"score":0.4283464252948761},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4056798219680786},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3752133846282959},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33200493454933167},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3294646441936493},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.16591936349868774},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2908131.2908209","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2908131.2908209","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM Conference on Web Science","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":4,"referenced_works":["https://openalex.org/W49514851","https://openalex.org/W96765277","https://openalex.org/W2004946838","https://openalex.org/W6603840481"],"related_works":["https://openalex.org/W2380760159","https://openalex.org/W2305543783","https://openalex.org/W2963128065","https://openalex.org/W2583864867","https://openalex.org/W1598884124","https://openalex.org/W2377904462","https://openalex.org/W2074640979","https://openalex.org/W4236164951","https://openalex.org/W2322922235","https://openalex.org/W2351568302"],"abstract_inverted_index":{"Crowdsourcing":[0],"has":[1],"been":[2],"widely":[3],"adopted":[4],"in":[5,29,115],"research":[6],"and":[7,35,54,67,89,108],"practice":[8],"over":[9],"the":[10,19,30,40,48,52,81,85,90,98,110,125,129,138],"last":[11],"decade.":[12],"In":[13],"this":[14],"work,":[15],"we":[16],"first":[17],"investigate":[18],"extent":[20],"to":[21,65,79,105],"which":[22,38],"crowd":[23],"workers":[24],"can":[25,134],"substitute":[26],"expert-based":[27],"judgments":[28],"task":[31,93,130],"of":[32,42,84,92,97,112,127,131],"link":[33,86,119,132],"prediction":[34,87,133],"schema":[36,55],"mapping,":[37],"is":[39,58,63],"creation":[41],"explicit":[43],"links":[44],"between":[45],"resources":[46],"on":[47,95],"Semantic":[49],"Web":[50],"at":[51],"instance":[53],"level.":[56],"This":[57],"important":[59],"since":[60],"human":[61],"input":[62],"required":[64],"evaluate":[66],"improve":[68,135],"automated":[69],"approaches":[70],"for":[71],"these":[72],"tasks.":[73],"We":[74,100],"present":[75],"a":[76,102],"novel":[77],"method":[78],"assess":[80],"inherent":[82],"specificity":[83,94,107],"task,":[88],"impact":[91],"quality":[96,118],"results.":[99],"propose":[101],"Wikipedia-based":[103],"mechanism":[104],"estimate":[106],"show":[109],"influence":[111],"concept":[113],"familiarity":[114],"producing":[116],"high":[117],"prediction.":[120],"Our":[121],"findings":[122],"indicate":[123],"that":[124],"effectiveness":[126],"crowdsourcing":[128],"by":[136],"estimating":[137],"specificity.":[139]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}