{"id":"https://openalex.org/W2792318346","doi":"https://doi.org/10.1109/spac.2017.8304267","title":"A novel asymmetric semantic similarity measurement for semantic job matching","display_name":"A novel asymmetric semantic similarity measurement for semantic job matching","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2792318346","doi":"https://doi.org/10.1109/spac.2017.8304267","mag":"2792318346"},"language":"en","primary_location":{"id":"doi:10.1109/spac.2017.8304267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spac.2017.8304267","pdf_url":null,"source":{"id":"https://openalex.org/S4306498208","display_name":"2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","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/A5101490007","display_name":"Bo Zhu","orcid":"https://orcid.org/0000-0002-8867-9630"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Bo Zhu","raw_affiliation_strings":["School of Computer Science, Beijing Institute of Technology, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Beijing Institute of Technology, Madrid, Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100726212","display_name":"Xin Li","orcid":"https://orcid.org/0000-0002-4976-9406"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Li","raw_affiliation_strings":["School of Computer Science, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040650254","display_name":"Jes\u00fas Bobadilla Sancho","orcid":null},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jesus Bobadilla Sancho","raw_affiliation_strings":["School of Computer Science, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101490007"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3115,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.6539924,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"11","issue":null,"first_page":"152","last_page":"157"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T10181","display_name":"Natural Language Processing Techniques","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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9973999857902527,"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/computer-science","display_name":"Computer science","score":0.7931663393974304},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.7791861295700073},{"id":"https://openalex.org/keywords/semantic-matching","display_name":"Semantic matching","score":0.6971724033355713},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6600529551506042},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6449720859527588},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6008250713348389},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5792867541313171},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47437459230422974},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.47300010919570923},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4298778474330902},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3442279100418091},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.23209863901138306},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1237238347530365},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08189484477043152},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07338890433311462}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7931663393974304},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.7791861295700073},{"id":"https://openalex.org/C2778493491","wikidata":"https://www.wikidata.org/wiki/Q7449072","display_name":"Semantic matching","level":3,"score":0.6971724033355713},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6600529551506042},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6449720859527588},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6008250713348389},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5792867541313171},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47437459230422974},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.47300010919570923},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4298778474330902},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3442279100418091},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.23209863901138306},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1237238347530365},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08189484477043152},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07338890433311462}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spac.2017.8304267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spac.2017.8304267","pdf_url":null,"source":{"id":"https://openalex.org/S4306498208","display_name":"2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1140107","https://openalex.org/W10647322","https://openalex.org/W1483138209","https://openalex.org/W1647729745","https://openalex.org/W1659833910","https://openalex.org/W1886319227","https://openalex.org/W1970264778","https://openalex.org/W2059975159","https://openalex.org/W2067460167","https://openalex.org/W2078749975","https://openalex.org/W2081580037","https://openalex.org/W2087739686","https://openalex.org/W2090381734","https://openalex.org/W2100935296","https://openalex.org/W2103318667","https://openalex.org/W2110191418","https://openalex.org/W2113339754","https://openalex.org/W2123457740","https://openalex.org/W2134126205","https://openalex.org/W2136480620","https://openalex.org/W2146280017","https://openalex.org/W2298605637","https://openalex.org/W2400262625","https://openalex.org/W2534712034","https://openalex.org/W2565002155","https://openalex.org/W2953332543","https://openalex.org/W4285719527","https://openalex.org/W6600046203","https://openalex.org/W6636975626","https://openalex.org/W6667260163","https://openalex.org/W6675339850","https://openalex.org/W6678220738","https://openalex.org/W6697869303","https://openalex.org/W6728595811"],"related_works":["https://openalex.org/W1965623300","https://openalex.org/W3134365128","https://openalex.org/W2114797768","https://openalex.org/W2380654781","https://openalex.org/W4387489691","https://openalex.org/W2315716767","https://openalex.org/W2084010214","https://openalex.org/W2355975607","https://openalex.org/W2388581364","https://openalex.org/W2128006550"],"abstract_inverted_index":{"Applying":[0],"semantic":[1,5,26,39,81],"similarity":[2,27,49,82],"techniques":[3],"in":[4,35,54,72,91,118],"matching":[6],"applications":[7],"can":[8],"help":[9],"to":[10,103,121],"match":[11],"information":[12],"not":[13],"only":[14],"lexically":[15],"but":[16],"also":[17],"semantically.":[18],"In":[19],"this":[20,63],"paper,":[21],"we":[22],"extend":[23],"the":[24,36,92,112,122],"conventional":[25,123],"measures":[28],"for":[29,44],"retrieving":[30],"and":[31,52,89,106],"ranking":[32,119],"employment":[33],"candidates":[34],"case":[37,57],"of":[38,58],"job":[40,60],"matching.":[41,61],"A":[42,78],"framework":[43],"calculating":[45],"asymmetric":[46,80],"conceptual":[47],"skill":[48],"is":[50,87],"proposed,":[51],"validated":[53,90],"a":[55,65],"use":[56,93],"programming":[59],"Within":[62],"case,":[64],"specific":[66],"skills":[67],"taxonomy":[68],"has":[69],"been":[70],"formalized":[71],"Simple":[73],"Knowledge":[74],"Organization":[75],"System":[76],"(SKOS).":[77],"novel":[79],"measurement":[83],"based":[84],"on":[85],"weighted-path-counting":[86],"proposed":[88,96,113],"case.":[94],"The":[95],"algorithms":[97,114],"are":[98],"evaluated":[99],"by":[100],"comparing":[101,120],"them":[102],"user":[104],"ranks,":[105],"our":[107],"experimental":[108],"results":[109],"show":[110],"that":[111],"have":[115],"better":[116],"performance":[117],"algorithms.":[124]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}