{"id":"https://openalex.org/W4413887036","doi":"https://doi.org/10.1109/tfuzz.2025.3604071","title":"Fuzzy Spatiotemporal Knowledge Graph Queries via Global and Local Uncertain Dynamic Subgraph Reasoning Using Embedding","display_name":"Fuzzy Spatiotemporal Knowledge Graph Queries via Global and Local Uncertain Dynamic Subgraph Reasoning Using Embedding","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4413887036","doi":"https://doi.org/10.1109/tfuzz.2025.3604071"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2025.3604071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2025.3604071","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Fuzzy Systems","raw_type":"journal-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/A5101731283","display_name":"Hao Ji","orcid":"https://orcid.org/0000-0002-7383-1855"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Ji","raw_affiliation_strings":["College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","College of Computer Science &amp; Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-7383-1855","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"College of Computer Science &amp; Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Li Yan","orcid":"https://orcid.org/0000-0002-1881-3128"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Yan","raw_affiliation_strings":["College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","College of Computer Science &amp; Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-1881-3128","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"College of Computer Science &amp; Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015057910","display_name":"Zongmin Ma","orcid":"https://orcid.org/0000-0001-7780-6473"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongmin Ma","raw_affiliation_strings":["College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","College of Computer Science &amp; Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-7780-6473","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"College of Computer Science &amp; Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9842412"],"apc_list":null,"apc_paid":null,"fwci":1.2572,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.80988701,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"33","issue":"11","first_page":"3981","last_page":"3991"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9965999722480774,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9965999722480774,"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"}},{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.992900013923645,"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"}},{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9860000014305115,"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/embedding","display_name":"Embedding","score":0.7156704664230347},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6461892127990723},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5214561820030212},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5190954208374023},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5022242069244385},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.462047278881073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33757516741752625},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32738977670669556}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7156704664230347},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6461892127990723},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5214561820030212},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5190954208374023},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5022242069244385},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.462047278881073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33757516741752625},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32738977670669556}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2025.3604071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2025.3604071","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2564095224","display_name":"\u5927\u89c4\u6a21\u6a21\u7ccaRDF\u6570\u636e\u5b58\u50a8\u4e0e\u67e5\u8be2\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61772269","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3145864530","display_name":null,"funder_award_id":"62576169","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4536441346","display_name":null,"funder_award_id":"62176121","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W150699991","https://openalex.org/W2766317792","https://openalex.org/W2918628708","https://openalex.org/W2950393809","https://openalex.org/W3097986917","https://openalex.org/W3174368915","https://openalex.org/W3174905206","https://openalex.org/W3182741322","https://openalex.org/W4252707176","https://openalex.org/W4285167290","https://openalex.org/W4285600519","https://openalex.org/W4285605599","https://openalex.org/W4385453366","https://openalex.org/W4385573405","https://openalex.org/W4385573535","https://openalex.org/W4391513600","https://openalex.org/W4391892433","https://openalex.org/W4400910165","https://openalex.org/W4402082642","https://openalex.org/W4404905528","https://openalex.org/W4405316150","https://openalex.org/W4405583633"],"related_works":["https://openalex.org/W2604454537","https://openalex.org/W2883748392","https://openalex.org/W2897702399","https://openalex.org/W4206028705","https://openalex.org/W2757431232","https://openalex.org/W2808284704","https://openalex.org/W2954554213","https://openalex.org/W2251363251","https://openalex.org/W4206547516","https://openalex.org/W4293236197"],"abstract_inverted_index":{"A":[0],"large":[1],"amount":[2],"of":[3,26,152,164,170,200],"work":[4],"focus":[5],"on":[6,51,203],"static":[7],"and":[8,24,39,89,141,158,166,182],"temporal":[9],"knowledge":[10,33,62],"graph":[11,34],"(KG)":[12],"queries":[13,49],"via":[14],"subgraph":[15,52,73,88,91,95,111,127,134,151,181,185,188],"reasoning,":[16],"but":[17],"it":[18],"fails":[19],"to":[20,57,80,93,103,125,128,196],"consider":[21],"the":[22,61,82,86,132,149,162,175,183,187,198],"space-sensitivity":[23],"fuzziness":[25],"KG.":[27],"Subgraph":[28],"query":[29,70,87,133,180],"in":[30,60],"fuzzy":[31],"spatiotemporal":[32],"(f-STKG)":[35],"is":[36,136,154],"a":[37,43,109],"fundamental":[38],"challenging":[40],"task.":[41],"Although":[42],"few":[44],"efforts":[45],"exist":[46],"dedicated":[47],"tof-STKG":[48],"based":[50],"matching,":[53],"they":[54],"are":[55],"sensitive":[56],"missing":[58],"information":[59,123,169],"base.":[63],"To":[64],"this":[65,126,179],"end,":[66],"we":[67,107,173,193],"propose":[68],"thef-STKG":[69,153],"method":[71,78,202,210],"by":[72],"reasoning":[74],"using":[75,113,138,156,186],"embeddings.":[76],"The":[77],"aims":[79],"capture":[81],"semantic":[83,176],"similarity":[84,177],"between":[85,178],"candidate":[90,150,184],"off-STKG":[92,112,135],"accomplish":[94],"matching.":[96],"We":[97],"first":[98],"embedf-STKGs":[99],"into":[100],"vector":[101],"space":[102],"formf-STKG":[104],"vectors.":[105],"Then,":[106],"construct":[108],"global":[110,122],"Composition-based":[114],"Graph":[115],"Convolutional":[116],"Neural":[117],"Networks":[118],"(CompGCN),":[119],"which":[120],"allows":[121],"adjacent":[124],"be":[129],"integrated.":[130],"Subsequently,":[131],"constructed":[137,155],"mean":[139],"pooling":[140],"Gated":[142],"Recurrent":[143],"Unit":[144],"(GRU),":[145],"as":[146,148],"well":[147],"CompGCN":[157],"GRU.":[159],"This":[160],"facilitates":[161],"integration":[163],"structural":[165],"sequence":[167],"pattern":[168],"subgraphs.":[171],"Finally,":[172],"measured":[174],"matching":[189],"function.":[190],"In":[191],"addition,":[192],"designed":[194],"experiments":[195],"validate":[197],"effectiveness":[199],"our":[201,209],"two":[204],"datasets.":[205],"Results":[206],"show":[207],"that":[208],"outperforms":[211],"state-of-the-art":[212],"baselines.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
