{"id":"https://openalex.org/W1669652517","doi":"https://doi.org/10.1109/nafips-wconsc.2015.7284121","title":"Fuzzy-based methods for processing hybrid and temporal data in Linked Open Data environment","display_name":"Fuzzy-based methods for processing hybrid and temporal data in Linked Open Data environment","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1669652517","doi":"https://doi.org/10.1109/nafips-wconsc.2015.7284121","mag":"1669652517"},"language":"en","primary_location":{"id":"doi:10.1109/nafips-wconsc.2015.7284121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nafips-wconsc.2015.7284121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC)","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/A5024453737","display_name":"Marek Reformat","orcid":"https://orcid.org/0000-0003-4783-0717"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Marek Reformat","raw_affiliation_strings":["University of Edmonton, Alberta, Canada"],"affiliations":[{"raw_affiliation_string":"University of Edmonton, Alberta, Canada","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5024453737"],"corresponding_institution_ids":["https://openalex.org/I154425047"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02651518,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9961000084877014,"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":0.9961000084877014,"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/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.9883000254631042,"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/T11106","display_name":"Data Management and Algorithms","score":0.975600004196167,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8488647937774658},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.817172646522522},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.666731595993042},{"id":"https://openalex.org/keywords/linked-data","display_name":"Linked data","score":0.5910187363624573},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.566301703453064},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5428933501243591},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5002462863922119},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.44614899158477783},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4273904263973236},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4002856910228729},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3920217752456665},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3303762674331665},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19926124811172485}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8488647937774658},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.817172646522522},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.666731595993042},{"id":"https://openalex.org/C69075417","wikidata":"https://www.wikidata.org/wiki/Q515701","display_name":"Linked data","level":3,"score":0.5910187363624573},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.566301703453064},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5428933501243591},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5002462863922119},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.44614899158477783},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4273904263973236},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4002856910228729},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3920217752456665},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3303762674331665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19926124811172485},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nafips-wconsc.2015.7284121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nafips-wconsc.2015.7284121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC)","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":0,"referenced_works":[],"related_works":["https://openalex.org/W2283287182","https://openalex.org/W1485690712","https://openalex.org/W82112649","https://openalex.org/W2058923328","https://openalex.org/W3128827045","https://openalex.org/W2776293731","https://openalex.org/W2610919777","https://openalex.org/W2965230088","https://openalex.org/W4293389049","https://openalex.org/W1534806717"],"abstract_inverted_index":{"The":[0,197],"web":[1,68,138],"becomes":[2],"a":[3,41,71,88,131,169,178],"huge":[4],"repository":[5],"of":[6,17,37,43,54,60,91,134,195,204],"data":[7,69,109,162],"and":[8,24,31,75,83,110,120,144,160,186,208],"information.":[9,56,122,145],"In":[10,95],"order":[11],"to":[12,26,66,106,116,129,173,181],"deal":[13],"with":[14,114,118,136,156,201],"large":[15],"quantities":[16],"data,":[18,28],"the":[19,112,137,147,164,182,190],"users":[20,113],"need":[21],"intelligent-based":[22],"tools":[23],"methods":[25,152],"access":[27],"process":[29,67,107],"it,":[30],"make":[32],"it":[33,79],"useful":[34,142],"for":[35,141,154,214],"variety":[36,194],"purposes.":[38],"Proposed":[39],"as":[40],"part":[42],"Semantic":[44],"Web,":[45],"Resource":[46],"Description":[47],"Framework":[48],"(RDF)":[49],"is":[50],"an":[51,64],"important":[52],"way":[53,72,133],"representing":[55],"Its":[57],"intrinsic":[58],"feature":[59,216],"high":[61],"connectivity":[62],"creates":[63],"opportunity":[65],"in":[70,78,163],"that":[73,176],"information":[74],"knowledge":[76],"embedded":[77],"can":[80,103],"be":[81,104],"extracted":[82],"absorbed.":[84],"RDF":[85,108],"has":[86],"become":[87],"building":[89],"block":[90],"Linked":[92],"Open":[93],"Data.":[94],"this":[96],"talk,":[97],"we":[98,149],"show":[99],"how":[100],"fuzzy-based":[101],"technologies":[102],"used":[105],"provide":[111],"capabilities":[115],"cope":[117],"versatile":[119],"complex":[121],"These":[123],"technologies,":[124],"when":[125,139],"employed,":[126],"are":[127],"able":[128],"ensure":[130],"human-like":[132],"interacting":[135],"looking":[140],"facts":[143],"At":[146],"beginning,":[148],"focus":[150],"on":[151],"suitable":[153,213],"dealing":[155],"hybrid,":[157],"i.e.,":[158],"numerical":[159],"symbolic,":[161],"distributed":[165],"environment.":[166],"We":[167],"adopt":[168],"linguistic":[170],"representation":[171],"model":[172],"identify":[174],"items":[175],"match":[177],"given":[179],"reference":[180],"highest":[183],"possible":[184],"degree,":[185],"satisfying":[187],"-":[188,193],"at":[189],"same":[191],"time":[192],"criteria.":[196],"proposed":[198],"methodology":[199],"deals":[200],"different":[202],"types":[203],"features":[205],"describing":[206],"items,":[207],"utilizes":[209],"comparison":[210],"mechanisms":[211],"most":[212],"each":[215],"type.":[217]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}