{"id":"https://openalex.org/W2065672541","doi":"https://doi.org/10.1007/s11042-012-1144-7","title":"A term normalization method for efficient knowledge acquisition through text processing","display_name":"A term normalization method for efficient knowledge acquisition through text processing","publication_year":2012,"publication_date":"2012-06-02","ids":{"openalex":"https://openalex.org/W2065672541","doi":"https://doi.org/10.1007/s11042-012-1144-7","mag":"2065672541"},"language":"en","primary_location":{"id":"doi:10.1007/s11042-012-1144-7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11042-012-1144-7","pdf_url":null,"source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-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/A5081103879","display_name":"Myunggwon Hwang","orcid":"https://orcid.org/0000-0002-6251-6139"},"institutions":[{"id":"https://openalex.org/I119522612","display_name":"Daejeon University","ror":"https://ror.org/02eqchk86","country_code":"KR","type":"education","lineage":["https://openalex.org/I119522612"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Myunggwon Hwang","raw_affiliation_strings":["245 Daehak-ro, Yuseong-gu, Daejeon, 305-806, Republic of Korea",", Daejeon, Republic of Korea 305-806#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"245 Daehak-ro, Yuseong-gu, Daejeon, 305-806, Republic of Korea","institution_ids":[]},{"raw_affiliation_string":", Daejeon, Republic of Korea 305-806#TAB#","institution_ids":["https://openalex.org/I119522612"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103411788","display_name":"Do-Heon Jeong","orcid":null},"institutions":[{"id":"https://openalex.org/I119522612","display_name":"Daejeon University","ror":"https://ror.org/02eqchk86","country_code":"KR","type":"education","lineage":["https://openalex.org/I119522612"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Do-Heon Jeong","raw_affiliation_strings":["245 Daehak-ro, Yuseong-gu, Daejeon, 305-806, Republic of Korea",", Daejeon, Republic of Korea 305-806#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"245 Daehak-ro, Yuseong-gu, Daejeon, 305-806, Republic of Korea","institution_ids":[]},{"raw_affiliation_string":", Daejeon, Republic of Korea 305-806#TAB#","institution_ids":["https://openalex.org/I119522612"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037898363","display_name":"Jinhyung Kim","orcid":"https://orcid.org/0000-0001-8011-5163"},"institutions":[{"id":"https://openalex.org/I119522612","display_name":"Daejeon University","ror":"https://ror.org/02eqchk86","country_code":"KR","type":"education","lineage":["https://openalex.org/I119522612"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinhyung Kim","raw_affiliation_strings":["245 Daehak-ro, Yuseong-gu, Daejeon, 305-806, Republic of Korea",", Daejeon, Republic of Korea 305-806#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"245 Daehak-ro, Yuseong-gu, Daejeon, 305-806, Republic of Korea","institution_ids":[]},{"raw_affiliation_string":", Daejeon, Republic of Korea 305-806#TAB#","institution_ids":["https://openalex.org/I119522612"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059129692","display_name":"Sa-Kwang Song","orcid":"https://orcid.org/0000-0002-6014-3519"},"institutions":[{"id":"https://openalex.org/I119522612","display_name":"Daejeon University","ror":"https://ror.org/02eqchk86","country_code":"KR","type":"education","lineage":["https://openalex.org/I119522612"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sa-Kwang Song","raw_affiliation_strings":["245 Daehak-ro, Yuseong-gu, Daejeon, 305-806, Republic of Korea",", Daejeon, Republic of Korea 305-806#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"245 Daehak-ro, Yuseong-gu, Daejeon, 305-806, Republic of Korea","institution_ids":[]},{"raw_affiliation_string":", Daejeon, Republic of Korea 305-806#TAB#","institution_ids":["https://openalex.org/I119522612"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038598860","display_name":"Hanmin Jung","orcid":"https://orcid.org/0000-0001-8690-0664"},"institutions":[{"id":"https://openalex.org/I119522612","display_name":"Daejeon University","ror":"https://ror.org/02eqchk86","country_code":"KR","type":"education","lineage":["https://openalex.org/I119522612"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hanmin Jung","raw_affiliation_strings":["245 Daehak-ro, Yuseong-gu, Daejeon, 305-806, Republic of Korea",", Daejeon, Republic of Korea 305-806#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"245 Daehak-ro, Yuseong-gu, Daejeon, 305-806, Republic of Korea","institution_ids":[]},{"raw_affiliation_string":", Daejeon, Republic of Korea 305-806#TAB#","institution_ids":["https://openalex.org/I119522612"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101604646","display_name":"Juhyun Shin","orcid":"https://orcid.org/0000-0003-0568-9743"},"institutions":[{"id":"https://openalex.org/I79056234","display_name":"Gwangju University","ror":"https://ror.org/01gcnxt20","country_code":"KR","type":"education","lineage":["https://openalex.org/I79056234"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Juhyun Shin","raw_affiliation_strings":["375 Seoseok-dong, Dong-gu, Gwangju, 501-759, Republic of Korea",", Gwangju, Republic of Korea 501-759#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"375 Seoseok-dong, Dong-gu, Gwangju, 501-759, Republic of Korea","institution_ids":[]},{"raw_affiliation_string":", Gwangju, Republic of Korea 501-759#TAB#","institution_ids":["https://openalex.org/I79056234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061116975","display_name":"Pankoo Kim","orcid":"https://orcid.org/0000-0003-0111-5152"},"institutions":[{"id":"https://openalex.org/I79056234","display_name":"Gwangju University","ror":"https://ror.org/01gcnxt20","country_code":"KR","type":"education","lineage":["https://openalex.org/I79056234"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Pankoo Kim","raw_affiliation_strings":["375 Seoseok-dong, Dong-gu, Gwangju, 501-759, Republic of Korea",", Gwangju, Republic of Korea 501-759#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"375 Seoseok-dong, Dong-gu, Gwangju, 501-759, Republic of Korea","institution_ids":[]},{"raw_affiliation_string":", Gwangju, Republic of Korea 501-759#TAB#","institution_ids":["https://openalex.org/I79056234"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103411788"],"corresponding_institution_ids":["https://openalex.org/I119522612"],"apc_list":null,"apc_paid":null,"fwci":2.1747,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.88727115,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"65","issue":"1","first_page":"75","last_page":"91"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9977999925613403,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9958999752998352,"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":0.8784725666046143},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.8732187747955322},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5785421133041382},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.5492156744003296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48324069380760193},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.44946908950805664},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4336319863796234},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.42288443446159363},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3775518536567688},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3329436182975769}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8784725666046143},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.8732187747955322},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5785421133041382},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.5492156744003296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48324069380760193},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.44946908950805664},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4336319863796234},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.42288443446159363},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3775518536567688},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3329436182975769},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11042-012-1144-7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11042-012-1144-7","pdf_url":null,"source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W46612890","https://openalex.org/W61380927","https://openalex.org/W74674953","https://openalex.org/W141197056","https://openalex.org/W1920052317","https://openalex.org/W2003458432","https://openalex.org/W2013086354","https://openalex.org/W2013563212","https://openalex.org/W2024530763","https://openalex.org/W2027716013","https://openalex.org/W2029109182","https://openalex.org/W2055101596","https://openalex.org/W2098162425","https://openalex.org/W2120935561","https://openalex.org/W2141617099","https://openalex.org/W2159640576","https://openalex.org/W2161463376","https://openalex.org/W2171681728","https://openalex.org/W2197980090","https://openalex.org/W4231253569"],"related_works":["https://openalex.org/W2794103424","https://openalex.org/W4245435724","https://openalex.org/W1996530509","https://openalex.org/W3028317537","https://openalex.org/W2389515972","https://openalex.org/W2055301889","https://openalex.org/W1505959757","https://openalex.org/W2376554934","https://openalex.org/W2077790809","https://openalex.org/W2906246018"],"abstract_inverted_index":null,"counts_by_year":[{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}
