{"id":"https://openalex.org/W4388426837","doi":"https://doi.org/10.1109/spawc53906.2023.10304445","title":"Semantic Communication Based on Entity Information Enhancement","display_name":"Semantic Communication Based on Entity Information Enhancement","publication_year":2023,"publication_date":"2023-09-25","ids":{"openalex":"https://openalex.org/W4388426837","doi":"https://doi.org/10.1109/spawc53906.2023.10304445"},"language":"en","primary_location":{"id":"doi:10.1109/spawc53906.2023.10304445","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/spawc53906.2023.10304445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","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/A5100430859","display_name":"Xi Zhang","orcid":"https://orcid.org/0000-0002-9173-4119"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xi Zhang","raw_affiliation_strings":["Sun Yat-Sen University,Shenzhen,China","Shenzhen Key Laboratory of Navigation and Communication Integration, Shenzhen, China","Sun Yat-Sen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University,Shenzhen,China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Shenzhen Key Laboratory of Navigation and Communication Integration, Shenzhen, China","institution_ids":[]},{"raw_affiliation_string":"Sun Yat-Sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100674652","display_name":"Dan Song","orcid":"https://orcid.org/0000-0003-1421-9428"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Song","raw_affiliation_strings":["Sun Yat-Sen University,Shenzhen,China","Sun Yat-Sen University, Shenzhen, China","Shenzhen Key Laboratory of Navigation and Communication Integration, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University,Shenzhen,China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Sun Yat-Sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Shenzhen Key Laboratory of Navigation and Communication Integration, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035185924","display_name":"Linqi Song","orcid":"https://orcid.org/0000-0003-2756-4984"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Linqi Song","raw_affiliation_strings":["City University of Hong Kong,Hong Kong SAR,China","City University of Hong Kong, Hong Kong SAR, China"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong,Hong Kong SAR,China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"City University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049701424","display_name":"Congduan Li","orcid":"https://orcid.org/0000-0003-0495-332X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Congduan Li","raw_affiliation_strings":["Sun Yat-Sen University,Shenzhen,China","Shenzhen Key Laboratory of Navigation and Communication Integration, Shenzhen, China","Sun Yat-Sen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University,Shenzhen,China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Shenzhen Key Laboratory of Navigation and Communication Integration, Shenzhen, China","institution_ids":[]},{"raw_affiliation_string":"Sun Yat-Sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100430859"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14392644,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9997000098228455,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9997000098228455,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9865999817848206,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9812999963760376,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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":0.8849443197250366},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.6508626341819763},{"id":"https://openalex.org/keywords/entity-linking","display_name":"Entity linking","score":0.5818850994110107},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.48873448371887207},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.47802528738975525},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.42665284872055054},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.41373181343078613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3237658739089966}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8849443197250366},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.6508626341819763},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.5818850994110107},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.48873448371887207},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.47802528738975525},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.42665284872055054},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.41373181343078613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3237658739089966},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spawc53906.2023.10304445","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/spawc53906.2023.10304445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5299999713897705}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2962929176","https://openalex.org/W2998385486","https://openalex.org/W3036851434","https://openalex.org/W3176117839","https://openalex.org/W3177312484","https://openalex.org/W3194089470","https://openalex.org/W4226283960","https://openalex.org/W4283269916","https://openalex.org/W4303628993","https://openalex.org/W4312050893","https://openalex.org/W4315629832","https://openalex.org/W4315777457","https://openalex.org/W4385245566","https://openalex.org/W6739901393","https://openalex.org/W6898505805"],"related_works":["https://openalex.org/W1541691357","https://openalex.org/W2090135255","https://openalex.org/W2168409722","https://openalex.org/W4387163706","https://openalex.org/W2026505290","https://openalex.org/W2782437235","https://openalex.org/W1993715838","https://openalex.org/W2359088421","https://openalex.org/W2098057544","https://openalex.org/W2181629536"],"abstract_inverted_index":{"Recently,":[0],"the":[1,12,21,24,30,47,51,59,84,88,93,102,108,116],"rapid":[2],"development":[3],"of":[4,14,23,49,53,61],"deep":[5],"learning":[6],"has":[7],"provided":[8],"strong":[9],"support":[10],"for":[11],"implementation":[13],"semantic":[15,55],"communication.":[16],"A":[17],"noteworthy":[18],"issue":[19,48],"is":[20],"application":[22],"knowledge":[25,31,64],"base.":[26],"Deploying":[27],"and":[28,37,66,91,111],"generating":[29],"base":[32],"necessitate":[33],"substantial":[34],"caching":[35],"resources,":[36],"requesting":[38],"it":[39],"frequently":[40],"may":[41],"increase":[42],"communication":[43,56],"overhead.":[44],"We":[45],"consider":[46],"improving":[50],"performance":[52,113],"text":[54,90],"systems":[57],"in":[58,87],"context":[60],"a":[62,68],"small-scale":[63],"base,":[65],"propose":[67],"system":[69,104],"based":[70],"on":[71],"entity":[72,80,85,109],"information":[73,86,94,110],"enhancement.":[74],"In":[75],"particular,":[76],"we":[77],"design":[78],"an":[79],"recognizer":[81],"to":[82],"identify":[83],"source":[89],"enhance":[92],"via":[95],"secondary":[96],"coding.":[97],"Simulation":[98],"results":[99],"demonstrate":[100],"that":[101],"proposed":[103],"can":[105],"effectively":[106],"extract":[107],"achieve":[112],"improvement":[114],"at":[115],"receiver.":[117]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}
