{"id":"https://openalex.org/W2151034031","doi":"https://doi.org/10.1177/0165551513494645","title":"Concept map construction from text documents using affinity propagation","display_name":"Concept map construction from text documents using affinity propagation","publication_year":2013,"publication_date":"2013-07-29","ids":{"openalex":"https://openalex.org/W2151034031","doi":"https://doi.org/10.1177/0165551513494645","mag":"2151034031"},"language":"en","primary_location":{"id":"doi:10.1177/0165551513494645","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0165551513494645","pdf_url":null,"source":{"id":"https://openalex.org/S68913162","display_name":"Journal of Information Science","issn_l":"0165-5515","issn":["0165-5515","1741-6485"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information Science","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/A5074913288","display_name":"Iqbal Qasim","orcid":"https://orcid.org/0000-0002-1664-0171"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Iqbal Qasim","raw_affiliation_strings":["Hanyang University, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanyang University, South Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089468514","display_name":"Jin-Woo Jeong","orcid":"https://orcid.org/0000-0001-9313-6860"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jin-Woo Jeong","raw_affiliation_strings":["Hanyang University, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanyang University, South Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109676000","display_name":"J. Heu","orcid":null},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jee-Uk Heu","raw_affiliation_strings":["Hanyang University, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanyang University, South Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100609747","display_name":"Dong\u2010Ho Lee","orcid":"https://orcid.org/0000-0003-0305-9182"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dong-Ho Lee","raw_affiliation_strings":["Hanyang University, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanyang University, South Korea","institution_ids":["https://openalex.org/I4575257"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4706,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.9076747,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"39","issue":"6","first_page":"719","last_page":"736"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9959999918937683,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9959999918937683,"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":0.9940999746322632,"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":0.9933000206947327,"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":0.798892080783844},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6204906702041626},{"id":"https://openalex.org/keywords/subject","display_name":"Subject (documents)","score":0.5838596820831299},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5819329023361206},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5764369368553162},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5673507452011108},{"id":"https://openalex.org/keywords/anaphora","display_name":"Anaphora (linguistics)","score":0.4810329079627991},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.47364795207977295},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46053504943847656},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.45711827278137207},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.43776482343673706},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.436562716960907},{"id":"https://openalex.org/keywords/noun-phrase","display_name":"Noun phrase","score":0.4348672032356262},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42657119035720825},{"id":"https://openalex.org/keywords/noun","display_name":"Noun","score":0.4243535101413727},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10736104846000671}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.798892080783844},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6204906702041626},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.5838596820831299},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5819329023361206},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5764369368553162},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5673507452011108},{"id":"https://openalex.org/C2781449363","wikidata":"https://www.wikidata.org/wiki/Q156751","display_name":"Anaphora (linguistics)","level":3,"score":0.4810329079627991},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.47364795207977295},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46053504943847656},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.45711827278137207},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.43776482343673706},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.436562716960907},{"id":"https://openalex.org/C153962237","wikidata":"https://www.wikidata.org/wiki/Q1401131","display_name":"Noun phrase","level":3,"score":0.4348672032356262},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42657119035720825},{"id":"https://openalex.org/C121934690","wikidata":"https://www.wikidata.org/wiki/Q1084","display_name":"Noun","level":2,"score":0.4243535101413727},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10736104846000671},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1177/0165551513494645","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0165551513494645","pdf_url":null,"source":{"id":"https://openalex.org/S68913162","display_name":"Journal of Information Science","issn_l":"0165-5515","issn":["0165-5515","1741-6485"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information Science","raw_type":"journal-article"},{"id":"pmh:oai:repository.hanyang.ac.kr:20.500.11754/91049","is_oa":false,"landing_page_url":"http://repository.hanyang.ac.kr/handle/20.500.11754/91049","pdf_url":null,"source":{"id":"https://openalex.org/S4306401328","display_name":"The Royal Society of Chemistry\u2019s Journals, Books and Databases (The Royal Society of Chemistry)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2751430930","host_organization_name":"Royal Society of Chemistry","host_organization_lineage":["https://openalex.org/I2751430930"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W140467209","https://openalex.org/W1513851544","https://openalex.org/W1976874920","https://openalex.org/W1988891887","https://openalex.org/W2000830595","https://openalex.org/W2002374240","https://openalex.org/W2003970683","https://openalex.org/W2018476018","https://openalex.org/W2049107599","https://openalex.org/W2068737686","https://openalex.org/W2076039115","https://openalex.org/W2077736186","https://openalex.org/W2085769588","https://openalex.org/W2087511931","https://openalex.org/W2097201396","https://openalex.org/W2097606805","https://openalex.org/W2102678023","https://openalex.org/W2122435612","https://openalex.org/W2127071136","https://openalex.org/W2127572234","https://openalex.org/W2144677744","https://openalex.org/W2146874204","https://openalex.org/W2152857373","https://openalex.org/W2160162963","https://openalex.org/W2162376067","https://openalex.org/W2165232124","https://openalex.org/W2168811880","https://openalex.org/W2329930013","https://openalex.org/W2557826079","https://openalex.org/W4231741839","https://openalex.org/W4238505993","https://openalex.org/W4238542749","https://openalex.org/W4251777045","https://openalex.org/W4252616392","https://openalex.org/W4285719527","https://openalex.org/W4387839554"],"related_works":["https://openalex.org/W2392673093","https://openalex.org/W3194683218","https://openalex.org/W2182073424","https://openalex.org/W2366115551","https://openalex.org/W2081376665","https://openalex.org/W2096400145","https://openalex.org/W2806411944","https://openalex.org/W2361342447","https://openalex.org/W2519366330","https://openalex.org/W2028123638"],"abstract_inverted_index":{"Concept":[0],"maps":[1,27,40,62,153,236,269],"are":[2,81,186,200,218,270],"playing":[3],"an":[4],"increasingly":[5],"important":[6,94],"role":[7],"in":[8,78,97,105,132,224,271],"various":[9,53],"computing":[10],"fields.":[11],"In":[12,141],"particular,":[13],"they":[14,118],"have":[15,63],"been":[16,64],"popularly":[17],"used":[18],"for":[19,55,89,172],"organizing":[20],"and":[21,32,130,198],"representing":[22],"knowledge.":[23],"However,":[24,66],"constructing":[25],"concept":[26,39,61,152,235,268],"manually":[28,242],"is":[29,47,174,253],"a":[30,48,146,196,258],"complex":[31],"time-consuming":[33],"task.":[34],"Therefore,":[35],"the":[36,75,86,98,113,122,125,128,133,160,178,184,189,207,211,215,221,232,239,247,266,277],"creation":[37],"of":[38,60,85,124,135,191,195,249,276],"automatically":[41],"or":[42,57],"semi-automatically":[43,150,233],"from":[44,70,154,163],"text":[45,79,99,155],"documents":[46,80,100,164],"worthwhile":[49],"research":[50],"challenge.":[51],"Recently,":[52],"approaches":[54,68,111],"automatic":[56],"semi-automatic":[58],"construction":[59],"proposed.":[65],"these":[67],"suffer":[69],"several":[71],"limitations.":[72],"First,":[73,157],"only":[74],"noun":[76],"phrases":[77],"included":[82],"without":[83],"resolution":[84,171],"anaphora":[87],"problems":[88],"pronouns.":[90],"This":[91],"omission":[92],"causes":[93],"propositions":[95],"available":[96],"to":[101,115,138,149,176,238],"be":[102],"missed,":[103],"resulting":[104],"decreased":[106],"recall.":[107],"Second,":[108,183],"although":[109],"some":[110],"label":[112],"relationship":[114,126],"form":[116,134],"propositions,":[117],"do":[119],"not":[120],"show":[121,230],"direction":[123],"between":[127,188,210,220,251],"subject":[129],"object":[131],"Subject\u2013Relationship\u2013Object,":[136],"leading":[137],"ambiguous":[139],"propositions.":[140],"this":[142],"paper,":[143],"we":[144,158],"present":[145],"cluster-based":[147],"approach":[148],"construct":[151],"documents.":[156],"extract":[159],"candidate":[161,181,193,212,222],"terms":[162,194,223],"using":[165],"typed":[166],"dependency":[167],"linguistic":[168],"rules.":[169],"Anaphoric":[170],"pronouns":[173,179],"introduced":[175],"map":[177],"with":[180,273],"terms.":[182,213],"similarities":[185,209],"calculated":[187,208],"pairs":[190],"extracted":[192,216],"document":[197],"clusters":[199],"made":[201],"through":[202],"affinity":[203],"propagation":[204],"by":[205,243],"providing":[206],"Finally,":[214],"relationships":[217],"assigned":[219],"each":[225],"cluster.":[226],"Our":[227],"empirical":[228],"results":[229],"that":[231,265],"constructed":[234,267],"conform":[237],"outputs":[240],"generated":[241],"domain":[244,262],"experts,":[245],"since":[246],"degree":[248],"difference":[250],"them":[252],"proportionally":[254],"small":[255],"based":[256],"on":[257],"Likert":[259],"scale.":[260],"Furthermore,":[261],"experts":[263],"verified":[264],"accordance":[272],"their":[274],"knowledge":[275],"information":[278],"system":[279],"domain.":[280]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
