{"id":"https://openalex.org/W2069278076","doi":"https://doi.org/10.1109/nlpke.2008.4906755","title":"Semantic similarity computation based on HowNet2008","display_name":"Semantic similarity computation based on HowNet2008","publication_year":2008,"publication_date":"2008-10-01","ids":{"openalex":"https://openalex.org/W2069278076","doi":"https://doi.org/10.1109/nlpke.2008.4906755","mag":"2069278076"},"language":"en","primary_location":{"id":"doi:10.1109/nlpke.2008.4906755","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nlpke.2008.4906755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 International Conference on Natural Language Processing and Knowledge Engineering","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/A5035304545","display_name":"Keliang Jia","orcid":"https://orcid.org/0000-0002-0618-2744"},"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":true,"raw_author_name":"Keliang Jia","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077140664","display_name":"Jibin Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210097214","display_name":"Shandong Management University","ror":"https://ror.org/00vzprm14","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210097214"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jibin Fu","raw_affiliation_strings":["School of Information Management, Shandong Economics University, Jinan, Shandong, China"],"affiliations":[{"raw_affiliation_string":"School of Information Management, Shandong Economics University, Jinan, Shandong, China","institution_ids":["https://openalex.org/I4210097214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012291182","display_name":"Xiaoyu Jiang","orcid":"https://orcid.org/0000-0003-4170-5579"},"institutions":[{"id":"https://openalex.org/I102882674","display_name":"Beijing Institute of Fashion Technology","ror":"https://ror.org/03hgxtg28","country_code":"CN","type":"education","lineage":["https://openalex.org/I102882674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Jiang","raw_affiliation_strings":["Business School, Beijing Institute Clothing Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Business School, Beijing Institute Clothing Technology, Beijing, China","institution_ids":["https://openalex.org/I102882674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100879973","display_name":"Jintao Mao","orcid":null},"institutions":[{"id":"https://openalex.org/I102882674","display_name":"Beijing Institute of Fashion Technology","ror":"https://ror.org/03hgxtg28","country_code":"CN","type":"education","lineage":["https://openalex.org/I102882674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jintao Mao","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute Clothing Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute Clothing Technology, Beijing, China","institution_ids":["https://openalex.org/I102882674"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5035304545"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":1.1441,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.83942777,"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":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9718000292778015,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9718000292778015,"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/semantic-similarity","display_name":"Semantic similarity","score":0.7961841225624084},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7727464437484741},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7547888159751892},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5605711936950684},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5222466588020325},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5118800401687622},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5013141632080078},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4498908519744873},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.42052802443504333},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34284865856170654},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33176153898239136},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18391859531402588},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17078819870948792},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08156594634056091},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.061512500047683716}],"concepts":[{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.7961841225624084},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7727464437484741},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7547888159751892},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5605711936950684},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5222466588020325},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5118800401687622},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5013141632080078},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4498908519744873},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.42052802443504333},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34284865856170654},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33176153898239136},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18391859531402588},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17078819870948792},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08156594634056091},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.061512500047683716},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nlpke.2008.4906755","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nlpke.2008.4906755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 International Conference on Natural Language Processing and Knowledge Engineering","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":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2152334192"],"related_works":["https://openalex.org/W4231775656","https://openalex.org/W2046435967","https://openalex.org/W2383646825","https://openalex.org/W2371018915","https://openalex.org/W2375480909","https://openalex.org/W2354191502","https://openalex.org/W2114797768","https://openalex.org/W2380654781","https://openalex.org/W2176214140","https://openalex.org/W2516873349"],"abstract_inverted_index":{"Semantic":[0],"similarity":[1,35,62,68,74,99],"is":[2,78,95],"a":[3,30],"fundamental":[4],"concept":[5,24,47,65],"and":[6,9,48,58,101],"widely":[7],"researched":[8],"used":[10],"in":[11,25,86],"the":[12,20,23,61,67,71,76,81,84,87,92,98,103],"fields":[13],"of":[14,22,33,64,70,75,83],"natural":[15],"language":[16],"processing.":[17],"By":[18],"analyzing":[19],"definition":[21],"HowNet2008,":[26],"this":[27],"paper":[28],"proposes":[29],"new":[31,93],"method":[32,57],"semantic":[34],"calculation.":[36],"The":[37,73],"concepts":[38],"are":[39],"classified":[40],"into":[41,66],"three":[42],"classes:":[43],"simple":[44],"concept;":[45],"complex":[46],"combined":[49],"concept.":[50],"To":[51],"different":[52,56],"concept,":[53],"we":[54],"design":[55],"then":[59],"transform":[60],"calculation":[63,69,100],"sememe.":[72],"smeme":[77],"computed":[79,105],"by":[80],"hyponymy":[82],"sememe":[85,88],"tree.":[89],"Experiments":[90],"show":[91],"approach":[94],"effective":[96],"to":[97],"out-performs":[102],"conventional":[104],"approaches.":[106]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}