{"id":"https://openalex.org/W4414771185","doi":"https://doi.org/10.1109/wcnc65185.2026.11555446","title":"Semantic Communication: From Philosophical Conceptions Towards a Mathematical Framework","display_name":"Semantic Communication: From Philosophical Conceptions Towards a Mathematical Framework","publication_year":2026,"publication_date":"2026-04-13","ids":{"openalex":"https://openalex.org/W4414771185","doi":"https://doi.org/10.1109/wcnc65185.2026.11555446"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc65185.2026.11555446","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc65185.2026.11555446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2505.01342","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058536869","display_name":"Javad Gholipour","orcid":"https://orcid.org/0000-0002-1853-919X"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Javad Gholipour","raw_affiliation_strings":["Technische Universität Dresden,Dresden,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universität Dresden,Dresden,Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038203207","display_name":"Rafael F. Schaefer","orcid":"https://orcid.org/0000-0002-1702-9075"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rafael F. Schaefer","raw_affiliation_strings":["Technische Universität Dresden,Dresden,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universität Dresden,Dresden,Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022117288","display_name":"Gerhard Fettweis","orcid":"https://orcid.org/0000-0003-4622-1311"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gerhard P. Fettweis","raw_affiliation_strings":["Technische Universität Dresden,Dresden,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universität Dresden,Dresden,Germany","institution_ids":["https://openalex.org/I78650965"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I78650965"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14394","display_name":"Cognitive Science and Education Research","score":0.2711000144481659,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T14394","display_name":"Cognitive Science and Education Research","score":0.2711000144481659,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13062","display_name":"Cognitive Computing and Networks","score":0.23469999432563782,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.226500004529953,"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/ambiguity","display_name":"Ambiguity","score":0.7264999747276306},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5465999841690063},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.4851999878883362},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.47510001063346863},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.4691999852657318},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4408000111579895},{"id":"https://openalex.org/keywords/semantic-data-model","display_name":"Semantic data model","score":0.36309999227523804},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.3578000068664551},{"id":"https://openalex.org/keywords/semantic-heterogeneity","display_name":"Semantic heterogeneity","score":0.35370001196861267}],"concepts":[{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.7264999747276306},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6998000144958496},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5465999841690063},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.4851999878883362},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.47510001063346863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47049999237060547},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.4691999852657318},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4408000111579895},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.39419999718666077},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.36309999227523804},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.3578000068664551},{"id":"https://openalex.org/C2778180026","wikidata":"https://www.wikidata.org/wiki/Q18378163","display_name":"Semantic heterogeneity","level":4,"score":0.35370001196861267},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.34150001406669617},{"id":"https://openalex.org/C198942812","wikidata":"https://www.wikidata.org/wiki/Q496618","display_name":"Semantic property","level":2,"score":0.33550000190734863},{"id":"https://openalex.org/C30539005","wikidata":"https://www.wikidata.org/wiki/Q1066689","display_name":"Human communication","level":2,"score":0.32659998536109924},{"id":"https://openalex.org/C197914299","wikidata":"https://www.wikidata.org/wiki/Q18650","display_name":"Semantic memory","level":3,"score":0.31310001015663147},{"id":"https://openalex.org/C110903229","wikidata":"https://www.wikidata.org/wiki/Q7449064","display_name":"Semantic integration","level":4,"score":0.30320000648498535},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.29670000076293945},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.29499998688697815},{"id":"https://openalex.org/C103692084","wikidata":"https://www.wikidata.org/wiki/Q1765824","display_name":"Semantic grid","level":3,"score":0.2937999963760376},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.29030001163482666},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.29019999504089355},{"id":"https://openalex.org/C85407183","wikidata":"https://www.wikidata.org/wiki/Q1045785","display_name":"Semantic network","level":2,"score":0.28679999709129333},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.2671000063419342},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.26510000228881836},{"id":"https://openalex.org/C166423231","wikidata":"https://www.wikidata.org/wiki/Q1891170","display_name":"Semantic search","level":3,"score":0.262800008058548},{"id":"https://openalex.org/C6881194","wikidata":"https://www.wikidata.org/wiki/Q7449091","display_name":"Semantic technology","level":4,"score":0.2596000134944916}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/wcnc65185.2026.11555446","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc65185.2026.11555446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2505.01342","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2505.01342","pdf_url":"https://arxiv.org/pdf/2505.01342","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2505.01342","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2505.01342","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2505.01342","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2505.01342","pdf_url":"https://arxiv.org/pdf/2505.01342","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1375572575","display_name":"EXC 2050: Centre for Tactile Internet with HumanintheLoop (CeTI)","funder_award_id":"390696704","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Semantic":[0],"communication":[1,14,39,84,103],"has":[2,19],"emerged":[3],"as":[4,65,167],"a":[5,34,54,88,106,146,157,203],"promising":[6],"paradigm":[7],"to":[8,115,122,212],"address":[9],"the":[10,79,101,133,162,168,176,190,216,224,239],"challenges":[11],"of":[12,58,71,81,91,109,149,171,227],"next-generation":[13],"networks.":[15],"While":[16],"some":[17],"progress":[18],"been":[20],"made":[21],"in":[22,46,53,117,152,164,215],"its":[23,61,95,118,207],"conceptualization,":[24],"fundamental":[25],"questions":[26],"remain":[27],"unresolved.":[28],"In":[29,183],"this":[30,180,184],"paper,":[31,185],"we":[32,120,140,186],"propose":[33,121],"probabilistic":[35],"model":[36],"for":[37,206,231],"semantic":[38,83,92,102,150,177,193,208,233],"that,":[40],"unlike":[41],"prior":[42],"works":[43],"primarily":[44],"rooted":[45],"intuitions":[47],"from":[48,197],"human":[49],"language,":[50],"is":[51],"grounded":[52],"rigorous":[55],"philosophical":[56],"conception":[57],"information":[59],"and":[60,131,201],"relationship":[62],"with":[63,175],"data":[64],"Constraining":[66],"Affordances,":[67],"mediated":[68],"by":[69,125,137,238],"Levels":[70],"Abstraction":[72],"(LoA).":[73],"This":[74],"foundation":[75],"not":[76],"only":[77],"enables":[78],"modeling":[80],"linguistic":[82,98],"but":[85],"also":[86,221],"provides":[87],"domain-independent":[89],"definition":[90],"content,":[93],"extending":[94],"applicability":[96],"beyond":[97],"contexts.":[99],"As":[100],"problem":[104,135],"involves":[105],"complex":[107],"interplay":[108],"various":[110],"factors,":[111],"making":[112],"it":[113,124,127],"difficult":[114],"tackle":[116],"entirety,":[119],"orthogonalize":[123],"classifying":[126],"into":[128],"simpler":[129],"sub-problems":[130],"approach":[132],"general":[134],"step":[136],"step.":[138],"Notably,":[139],"show":[141],"that":[142,223],"Shannon's":[143,165,213,236],"framework":[144],"constitutes":[145],"special":[147,218],"case":[148],"communication,":[151,234],"which":[153,210],"each":[154],"message":[155],"conveys":[156],"single,":[158],"unambiguous":[159],"meaning.":[160],"Consequently,":[161],"capacity":[163,178,214,237],"model-defined":[166],"maximum":[169],"rate":[170,226],"reliably":[172],"transmissible":[173,229],"messages-coincides":[174],"under":[179],"constrained":[181],"scenario.":[182],"specifically":[187],"focus":[188],"on":[189],"sub-problem":[191],"where":[192],"ambiguity":[194],"arises":[195],"solely":[196],"physical":[198],"channel":[199],"noise":[200],"derive":[202],"lower":[204],"bound":[205],"capacity,":[209],"reduces":[211],"corresponding":[217],"case.":[219],"We":[220],"demonstrate":[222],"achievable":[225],"all":[228],"messages":[230],"reliable":[232],"exceeds":[235],"added":[240],"term":[241],"H(X|S).":[242]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}