{"id":"https://openalex.org/W3136280551","doi":"https://doi.org/10.15167/yaman-beyza_phd2018-05-23","title":"Exploiting Context-Dependent Quality Metadata for Linked Data Source Selection","display_name":"Exploiting Context-Dependent Quality Metadata for Linked Data Source Selection","publication_year":2018,"publication_date":"2018-05-23","ids":{"openalex":"https://openalex.org/W3136280551","doi":"https://doi.org/10.15167/yaman-beyza_phd2018-05-23","mag":"3136280551"},"language":"en","primary_location":{"id":"pmh:oai:iris.unige.it:11567/930633","is_oa":true,"landing_page_url":"http://hdl.handle.net/11567/930633","pdf_url":"http://hdl.handle.net/11567/930633","source":{"id":"https://openalex.org/S4377196291","display_name":"CINECA IRIS Institutial Research Information System (University of Genoa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83816512","host_organization_name":"University of Genoa","host_organization_lineage":["https://openalex.org/I83816512"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/doctoralThesis"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11567/930633","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031254664","display_name":"Beyza Yaman","orcid":"https://orcid.org/0000-0003-2130-0312"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"YAMAN, BEYZA","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5031254664"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3258,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.70660918,"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9987000226974487,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9987000226974487,"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/T14330","display_name":"Library Science and Information Systems","score":0.9799000024795532,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11719","display_name":"Data Quality and Management","score":0.9452000260353088,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.6716310977935791},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6002174019813538},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5811117887496948},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5312939286231995},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.5111506581306458},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.47446209192276},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3055099546909332},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.19437989592552185},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.18599048256874084},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11058911681175232}],"concepts":[{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.6716310977935791},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6002174019813538},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5811117887496948},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5312939286231995},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.5111506581306458},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.47446209192276},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3055099546909332},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.19437989592552185},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.18599048256874084},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11058911681175232},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:iris.unige.it:11567/930633","is_oa":true,"landing_page_url":"http://hdl.handle.net/11567/930633","pdf_url":"http://hdl.handle.net/11567/930633","source":{"id":"https://openalex.org/S4377196291","display_name":"CINECA IRIS Institutial Research Information System (University of Genoa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83816512","host_organization_name":"University of Genoa","host_organization_lineage":["https://openalex.org/I83816512"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/doctoralThesis"},{"id":"doi:10.15167/yaman-beyza_phd2018-05-23","is_oa":true,"landing_page_url":"https://doi.org/10.15167/yaman-beyza_phd2018-05-23","pdf_url":null,"source":{"id":"https://openalex.org/S7407050993","display_name":"Universit\u00e0 degli Studi di Genova","issn_l":null,"issn":[],"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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"},{"id":"mag:3136280551","is_oa":false,"landing_page_url":"https://iris.unige.it/bitstream/11567/930633/1/phdunige_3603404.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:iris.unige.it:11567/930633","is_oa":true,"landing_page_url":"http://hdl.handle.net/11567/930633","pdf_url":"http://hdl.handle.net/11567/930633","source":{"id":"https://openalex.org/S4377196291","display_name":"CINECA IRIS Institutial Research Information System (University of Genoa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83816512","host_organization_name":"University of Genoa","host_organization_lineage":["https://openalex.org/I83816512"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/doctoralThesis"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3136280551.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2228083536","https://openalex.org/W2369400955","https://openalex.org/W203380713","https://openalex.org/W2551682582","https://openalex.org/W1837178569","https://openalex.org/W2693690338","https://openalex.org/W2143412875","https://openalex.org/W1927820993","https://openalex.org/W2064066719","https://openalex.org/W3101207262","https://openalex.org/W2760962973","https://openalex.org/W1857713806","https://openalex.org/W3048853531","https://openalex.org/W3204879343","https://openalex.org/W2580441421","https://openalex.org/W132275995","https://openalex.org/W1993337560","https://openalex.org/W182722794","https://openalex.org/W1566890999","https://openalex.org/W2925169958"],"abstract_inverted_index":{"The":[0,61],"traditional":[1],"Web":[2,7],"is":[3,208],"evolving":[4],"into":[5,81,158],"the":[6,52,58,69,83,86,89,95,99,102,109,112,115,123,126,130,136,171,179,184,205],"of":[8,12,15,33,71,85,91,108,114,135,186,204],"Data":[9],"which":[10,54,79],"consists":[11],"huge":[13],"collections":[14],"structured":[16],"data":[17,22,36,92,146],"over":[18],"poorly":[19],"controlled":[20],"distributed":[21],"sources.":[23],"Live":[24],"queries":[25],"are":[26],"needed":[27],"to":[28,50,97,148,156,166,182,191,197],"get":[29],"current":[30],"information":[31],"out":[32],"this":[34],"global":[35],"space.":[37],"In":[38],"live":[39,72],"query":[40,73],"processing,":[41],"source":[42,65,150,154,188],"selection":[43,66,151],"deserves":[44],"attention":[45],"since":[46],"it":[47],"allows":[48],"us":[49],"identify":[51],"sources":[53,96],"might":[55],"likely":[56],"contain":[57],"relevant":[59],"data.":[60],"thesis":[62,131,172],"proposes":[63,132],"a":[64,105,145,167,187,193],"technique":[67],"in":[68,94],"context":[70,84,103,195],"processing":[74,122],"on":[75,125,153,178],"Linked":[76],"Open":[77],"Data,":[78],"takes":[80],"account":[82,159],"request":[87,124],"and":[88,111,161],"quality":[90,113,160,185,199],"contained":[93],"enhance":[98],"relevance":[100],"(since":[101],"enables":[104],"better":[106],"interpretation":[107],"request)":[110],"answers":[116],"(which":[117],"will":[118],"be":[119],"obtained":[120],"by":[121],"selected":[127],"sources).":[128],"Specifically,":[129],"an":[133,175],"extension":[134],"QTree":[137],"indexing":[138],"structure":[139],"that":[140],"had":[141],"been":[142],"proposed":[143,206],"as":[144],"summary":[147],"support":[149],"based":[152],"content,":[155],"take":[157],"contextual":[162],"information.":[163],"With":[164],"reference":[165],"specific":[168],"case":[169],"study,":[170],"also":[173,209],"contributes":[174],"approach,":[176],"relying":[177],"Luzzu":[180],"framework,":[181],"assess":[183],"with":[189],"respect":[190],"for":[192],"given":[194],"(according":[196],"different":[198],"dimensions).":[200],"An":[201],"experimental":[202],"evaluation":[203],"techniques":[207],"provided":[210]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}