{"id":"https://openalex.org/W3520640","doi":"https://doi.org/10.3233/978-1-58603-891-5-727","title":"Semantic relatedness in semantic networks","display_name":"Semantic relatedness in semantic networks","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W3520640","doi":"https://doi.org/10.3233/978-1-58603-891-5-727","mag":"3520640"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-58603-891-5-727","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-58603-891-5-727","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/978-1-58603-891-5-727","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069844975","display_name":"Laurent Mazuel","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Mazuel Laurent","raw_affiliation_strings":["SMA - Syst\u00e8mes Multi-Agents (France)"],"affiliations":[{"raw_affiliation_string":"SMA - Syst\u00e8mes Multi-Agents (France)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031179905","display_name":"Nicolas Sabouret","orcid":"https://orcid.org/0000-0002-7458-6732"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sabouret Nicolas","raw_affiliation_strings":["SMA - Syst\u00e8mes Multi-Agents (France)"],"affiliations":[{"raw_affiliation_string":"SMA - Syst\u00e8mes Multi-Agents (France)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5069844975"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.0003293,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9994999766349792,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9994999766349792,"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/T10028","display_name":"Topic Modeling","score":0.9987000226974487,"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":0.9984999895095825,"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/wordnet","display_name":"WordNet","score":0.7175723314285278},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6988292932510376},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.687208890914917},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.5727320909500122},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5562034845352173},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5463403463363647},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5326034426689148},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4530690014362335},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.44603610038757324},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4323369860649109},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.42284277081489563},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37798386812210083},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.27459901571273804},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.23147490620613098}],"concepts":[{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.7175723314285278},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6988292932510376},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.687208890914917},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.5727320909500122},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5562034845352173},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5463403463363647},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5326034426689148},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4530690014362335},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.44603610038757324},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4323369860649109},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.42284277081489563},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37798386812210083},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27459901571273804},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.23147490620613098},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/978-1-58603-891-5-727","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-58603-891-5-727","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"pmh:oai:HAL:hal-01303923v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01303923","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"18th European Conference on Artificial Intelligence, Jul 2008, Patras, Greece. pp.727-728, ⟨10.3233/978-1-58603-891-5-727⟩","raw_type":"Conference papers"}],"best_oa_location":{"id":"doi:10.3233/978-1-58603-891-5-727","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-58603-891-5-727","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1512367964","https://openalex.org/W1647729745","https://openalex.org/W1668989518","https://openalex.org/W2048684590","https://openalex.org/W2067438047","https://openalex.org/W2087739686","https://openalex.org/W2100935296","https://openalex.org/W2103318667","https://openalex.org/W2117805756","https://openalex.org/W2122948355","https://openalex.org/W2136930489","https://openalex.org/W2140887277"],"related_works":["https://openalex.org/W2043952800","https://openalex.org/W2957377172","https://openalex.org/W2165693052","https://openalex.org/W2113471940","https://openalex.org/W2569513598","https://openalex.org/W2907883452","https://openalex.org/W2170543300","https://openalex.org/W2251695880","https://openalex.org/W101928771","https://openalex.org/W2047143235"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,27,31,47,54,58,61],"new":[4],"semantic":[5,9,107],"relatedness":[6],"measure":[7,83,101],"on":[8,22,65,84],"networks":[10],"(SN)":[11],"that":[12],"uses":[13],"both":[14],"hierarchical":[15],"and":[16,42,71],"non-hierarchical":[17],"relations.":[18],"Our":[19],"approach":[20],"relies":[21],"two":[23,87],"assumptions.":[24],"Firstly,":[25],"in":[26,57,74,97],"given":[28,48,55],"SN,":[29],"only":[30],"few":[32],"numbers":[33],"of":[34,50,81],"paths":[35,44],"can":[36],"be":[37],"considered":[38],"as":[39],"“semantically":[40],"correct”":[41],"these":[43],"obey":[45],"to":[46],"set":[49],"rules.":[51],"Secondly,":[52],"following":[53],"edge":[56],"path":[59],"has":[60],"cost":[62],"(which":[63],"depends":[64],"its":[66,72],"type,":[67],"is-a,":[68],"part-of,":[69],"etc.)":[70],"position":[73],"the":[75,91,105],"path.":[76],"We":[77,94],"propose":[78],"an":[79],"evaluation":[80],"our":[82,100],"WordNet":[85],"with":[86],"different":[88],"benchmarks,":[89],"using":[90],"part-of":[92],"relation.":[93],"show":[95],"that,":[96],"this":[98],"context,":[99],"does":[102],"better":[103],"than":[104],"classical":[106],"measures.":[108]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}