{"id":"https://openalex.org/W4408733618","doi":"https://doi.org/10.4018/ijswis.371755","title":"Semantic Web-Enhanced Reinforcement Learning Model for Urban Planning Optimization","display_name":"Semantic Web-Enhanced Reinforcement Learning Model for Urban Planning Optimization","publication_year":2025,"publication_date":"2025-03-22","ids":{"openalex":"https://openalex.org/W4408733618","doi":"https://doi.org/10.4018/ijswis.371755"},"language":"en","primary_location":{"id":"doi:10.4018/ijswis.371755","is_oa":true,"landing_page_url":"https://doi.org/10.4018/ijswis.371755","pdf_url":"https://www.igi-global.com/ViewTitle.aspx?TitleId=371755&isxn=9798337311630","source":{"id":"https://openalex.org/S181240966","display_name":"International Journal on Semantic Web and Information Systems","issn_l":"1552-6283","issn":["1552-6283","1552-6291"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Semantic Web and Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.igi-global.com/ViewTitle.aspx?TitleId=371755&isxn=9798337311630","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101292179","display_name":"Yimeng Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yimeng Liang","raw_affiliation_strings":["Northeast Forestry University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeast Forestry University, China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0002-4836-7958"},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["Northeast Forestry University, China"],"raw_orcid":"https://orcid.org/0000-0002-4836-7958","affiliations":[{"raw_affiliation_string":"Northeast Forestry University, China","institution_ids":["https://openalex.org/I47689461"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I47689461"],"apc_list":null,"apc_paid":null,"fwci":1.2296,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76268024,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"21","issue":"1","first_page":"1","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9197999835014343,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9197999835014343,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8127352595329285},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7776143550872803},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.5094321370124817},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37514206767082214},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3588147759437561}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8127352595329285},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7776143550872803},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.5094321370124817},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37514206767082214},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3588147759437561}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4018/ijswis.371755","is_oa":true,"landing_page_url":"https://doi.org/10.4018/ijswis.371755","pdf_url":"https://www.igi-global.com/ViewTitle.aspx?TitleId=371755&isxn=9798337311630","source":{"id":"https://openalex.org/S181240966","display_name":"International Journal on Semantic Web and Information Systems","issn_l":"1552-6283","issn":["1552-6283","1552-6291"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Semantic Web and Information Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.4018/ijswis.371755","is_oa":true,"landing_page_url":"https://doi.org/10.4018/ijswis.371755","pdf_url":"https://www.igi-global.com/ViewTitle.aspx?TitleId=371755&isxn=9798337311630","source":{"id":"https://openalex.org/S181240966","display_name":"International Journal on Semantic Web and Information Systems","issn_l":"1552-6283","issn":["1552-6283","1552-6291"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Semantic Web and Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4408733618.pdf"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W2144499799","https://openalex.org/W2596744704","https://openalex.org/W2611665591","https://openalex.org/W2613703610","https://openalex.org/W2624431344","https://openalex.org/W2892621946","https://openalex.org/W3092058942","https://openalex.org/W3116624091","https://openalex.org/W3127778199","https://openalex.org/W3145628295","https://openalex.org/W3156498195","https://openalex.org/W3161496740","https://openalex.org/W3167509898","https://openalex.org/W3173468691","https://openalex.org/W3217422509","https://openalex.org/W4200059535","https://openalex.org/W4200337663","https://openalex.org/W4220776983","https://openalex.org/W4223947398","https://openalex.org/W4283590008","https://openalex.org/W4288079361","https://openalex.org/W4288680347","https://openalex.org/W4289336453","https://openalex.org/W4293661115","https://openalex.org/W4294558607","https://openalex.org/W4309577009","https://openalex.org/W4309971525","https://openalex.org/W4319836456","https://openalex.org/W4377091260","https://openalex.org/W4379057968","https://openalex.org/W4380082979","https://openalex.org/W4382240028","https://openalex.org/W4387446534","https://openalex.org/W4387909360","https://openalex.org/W4389236048","https://openalex.org/W4389804959","https://openalex.org/W4390397349","https://openalex.org/W4390816159","https://openalex.org/W4390880912","https://openalex.org/W4392013449","https://openalex.org/W4392190064","https://openalex.org/W4393407852","https://openalex.org/W4395070812","https://openalex.org/W4401635672","https://openalex.org/W4404408013","https://openalex.org/W4404613602","https://openalex.org/W4404858069"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4306904969","https://openalex.org/W2333894209","https://openalex.org/W65665365","https://openalex.org/W2031517545","https://openalex.org/W4234878310","https://openalex.org/W2182204580"],"abstract_inverted_index":{"As":[0],"urbanization":[1],"accelerates,":[2],"urban":[3],"planning":[4],"is":[5],"essential":[6],"for":[7,89],"enhancing":[8],"quality":[9],"of":[10],"life":[11],"and":[12,25,55,81,92,116],"sustainability.":[13],"Current":[14],"methods":[15,110],"struggle":[16],"with":[17,47],"complex":[18,72],"spatiotemporal":[19,83],"data,":[20,77],"limiting":[21],"real-time":[22],"feature":[23],"capture":[24],"strategy":[26,114],"adjustments.":[27],"To":[28],"address":[29],"this,":[30],"we":[31],"propose":[32],"the":[33,94],"Semantic":[34,44,87],"Web-Enhanced":[35],"Reinforcement":[36],"Learning-based":[37],"Urban":[38],"Planning":[39],"Optimization":[40],"Model":[41],"(SWRL-UPOM).":[42],"Integrating":[43],"Web":[45,88],"technologies":[46],"Spatio-Temporal":[48,56],"Adaptive":[49],"Multimodal":[50],"Graph":[51],"Convolutional":[52],"Network":[53],"(STAMFGCN)":[54],"Gated":[57],"Hierarchical":[58],"Attention":[59],"LSTM":[60],"(STGHALSTM),":[61],"SWRL-UPOM":[62,107],"uses":[63],"reinforcement":[64],"learning":[65],"to":[66,118],"optimize":[67],"strategies":[68,99],"dynamically.":[69],"STAMFGCN":[70],"extracts":[71],"inter-regional":[73],"relationships":[74],"from":[75],"multimodal":[76],"while":[78],"STGHALSTM":[79],"models":[80],"predicts":[82],"pollution":[84,103,112],"evolution.":[85],"Leveraging":[86],"structured":[90],"data":[91],"reasoning,":[93],"RL":[95],"framework":[96],"iteratively":[97],"updates":[98],"based":[100],"on":[101],"predicted":[102],"trends.":[104],"Experiments":[105],"show":[106],"outperforms":[108],"traditional":[109],"in":[111],"prediction,":[113],"optimization,":[115],"adaptability":[117],"dynamic":[119],"changes.":[120]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T06:19:23.411458","created_date":"2025-10-10T00:00:00"}