{"id":"https://openalex.org/W2015517276","doi":"https://doi.org/10.1109/icsmc.2010.5641993","title":"Distance aware tag clouds","display_name":"Distance aware tag clouds","publication_year":2010,"publication_date":"2010-10-01","ids":{"openalex":"https://openalex.org/W2015517276","doi":"https://doi.org/10.1109/icsmc.2010.5641993","mag":"2015517276"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2010.5641993","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2010.5641993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Systems, Man and Cybernetics","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/A5070763706","display_name":"Iris Ad\u00e4","orcid":null},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Iris Ada\u0308","raw_affiliation_strings":["Nycomed Chair for Bioinformatics and Information Mining, University Konstanz, 78457, Germany","Nycomed Chair for Bioinformatics and Information Mining, University Konstanz, Konstanz","Nycomed Chair of Bioinformatics and Information Mining, University of Konstanz, Konstanz, Germany"],"affiliations":[{"raw_affiliation_string":"Nycomed Chair for Bioinformatics and Information Mining, University Konstanz, 78457, Germany","institution_ids":["https://openalex.org/I189712700"]},{"raw_affiliation_string":"Nycomed Chair for Bioinformatics and Information Mining, University Konstanz, Konstanz","institution_ids":["https://openalex.org/I189712700"]},{"raw_affiliation_string":"Nycomed Chair of Bioinformatics and Information Mining, University of Konstanz, Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027631426","display_name":"Kilian Thiel","orcid":null},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kilian Thiel","raw_affiliation_strings":["Nycomed Chair for Bioinformatics and Information Mining, University Konstanz, 78457, Germany","Nycomed Chair of Bioinformatics and Information Mining, University of Konstanz, Konstanz, Germany","Nycomed Chair for Bioinformatics and Information Mining, University Konstanz, Konstanz"],"affiliations":[{"raw_affiliation_string":"Nycomed Chair for Bioinformatics and Information Mining, University Konstanz, 78457, Germany","institution_ids":["https://openalex.org/I189712700"]},{"raw_affiliation_string":"Nycomed Chair of Bioinformatics and Information Mining, University of Konstanz, Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]},{"raw_affiliation_string":"Nycomed Chair for Bioinformatics and Information Mining, University Konstanz, Konstanz","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035270195","display_name":"Michael R. Berthold","orcid":"https://orcid.org/0000-0001-9095-3283"},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael R. Berthold","raw_affiliation_strings":["Nycomed Chair for Bioinformatics and Information Mining, University Konstanz, 78457, Germany","Nycomed Chair of Bioinformatics and Information Mining, University of Konstanz, Konstanz, Germany","Nycomed Chair for Bioinformatics and Information Mining, University Konstanz, Konstanz"],"affiliations":[{"raw_affiliation_string":"Nycomed Chair for Bioinformatics and Information Mining, University Konstanz, 78457, Germany","institution_ids":["https://openalex.org/I189712700"]},{"raw_affiliation_string":"Nycomed Chair of Bioinformatics and Information Mining, University of Konstanz, Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]},{"raw_affiliation_string":"Nycomed Chair for Bioinformatics and Information Mining, University Konstanz, Konstanz","institution_ids":["https://openalex.org/I189712700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5070763706"],"corresponding_institution_ids":["https://openalex.org/I189712700"],"apc_list":null,"apc_paid":null,"fwci":0.6764,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.68201448,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2316","last_page":"2322"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9972000122070312,"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/tag-cloud","display_name":"Tag cloud","score":0.8576525449752808},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6860410571098328},{"id":"https://openalex.org/keywords/multidimensional-scaling","display_name":"Multidimensional scaling","score":0.6594539880752563},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.616511344909668},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6066625118255615},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5799408555030823},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5501013994216919},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.5417940616607666},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5306099057197571},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4423946440219879},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41153669357299805},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36247166991233826},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2540012001991272},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23216697573661804},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14641907811164856},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.12796208262443542}],"concepts":[{"id":"https://openalex.org/C26983874","wikidata":"https://www.wikidata.org/wiki/Q263864","display_name":"Tag cloud","level":3,"score":0.8576525449752808},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6860410571098328},{"id":"https://openalex.org/C91682802","wikidata":"https://www.wikidata.org/wiki/Q620538","display_name":"Multidimensional scaling","level":2,"score":0.6594539880752563},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.616511344909668},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6066625118255615},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5799408555030823},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5501013994216919},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.5417940616607666},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5306099057197571},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4423946440219879},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41153669357299805},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36247166991233826},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2540012001991272},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23216697573661804},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14641907811164856},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.12796208262443542},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icsmc.2010.5641993","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2010.5641993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Systems, Man and Cybernetics","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.398.6437","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.398.6437","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.inf.uni-konstanz.de/gk/pubsys/publishedFiles/AdThBe10.pdf","raw_type":"text"},{"id":"pmh:oai:kops.uni-konstanz.de:123456789/5953","is_oa":false,"landing_page_url":"http://nbn-resolving.de/urn:nbn:de:bsz:352-opus-127271","pdf_url":null,"source":{"id":"https://openalex.org/S4306401487","display_name":"KOPS (University of Konstanz)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I189712700","host_organization_name":"University of Konstanz","host_organization_lineage":["https://openalex.org/I189712700"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2010 IEEE International Conference on Systems, Man and Cybernetics. IEEE, 2010, pp. 2316-2322. ISBN 978-1-4244-6586-6. Available under: doi: 10.1109/ICSMC.2010.5641993","raw_type":"doc-type:Text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1701314662","display_name":null,"funder_award_id":"GK-1042","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1490910537","https://openalex.org/W1593615140","https://openalex.org/W1603831708","https://openalex.org/W1835740130","https://openalex.org/W1970773000","https://openalex.org/W2050023720","https://openalex.org/W2095608430","https://openalex.org/W2115108919","https://openalex.org/W2134312057","https://openalex.org/W2140634497","https://openalex.org/W2150206717","https://openalex.org/W2495084345","https://openalex.org/W2730457510","https://openalex.org/W4205380271","https://openalex.org/W4205767731","https://openalex.org/W4246354968","https://openalex.org/W6635931063","https://openalex.org/W6638693577","https://openalex.org/W6740624197","https://openalex.org/W6834473044"],"related_works":["https://openalex.org/W4200285273","https://openalex.org/W2068608913","https://openalex.org/W2374778813","https://openalex.org/W3124914020","https://openalex.org/W1582127415","https://openalex.org/W3197017096","https://openalex.org/W4241372895","https://openalex.org/W2972639076","https://openalex.org/W2054901814","https://openalex.org/W2123925843"],"abstract_inverted_index":{"Distance":[0],"aware":[1],"tag":[2,12,58,70],"clouds":[3],"add":[4],"visualization":[5],"of":[6,28,105,134,142,149],"relations":[7,39],"between":[8,33,44,52],"terms":[9,29],"to":[10,16,84,97],"standard":[11,75],"clouds.":[13],"In":[14,60],"addition":[15],"term":[17],"importance":[18],"(which":[19],"is":[20,72,95],"usually":[21],"depicted":[22],"through":[23],"font":[24],"size)":[25],"the":[26,31,36,50,53,57,98,129,135,143,147],"placement":[27],"represents":[30],"relation":[32],"words":[34,45],"in":[35,56,78],"corpus.":[37],"These":[38],"are":[40,47,108],"modeled":[41],"as":[42],"similarities":[43],"and":[46,80,116,145],"visualized":[48],"via":[49],"distance":[51],"corresponding":[54],"tags":[55],"cloud.":[59],"this":[61],"paper":[62],"a":[63],"modified":[64],"multi-dimensional":[65],"scaling":[66],"(MDS)":[67],"approach":[68],"for":[69,113],"positioning":[71,137],"presented.":[73],"Applying":[74],"MDS":[76,131],"results":[77],"unsatisfying":[79],"unusable":[81],"representations":[82],"due":[83],"two":[85,124],"problems.":[86],"The":[87],"first":[88],"problem":[89],"stems":[90],"from":[91],"word":[92],"overlap":[93,114],"which":[94],"orthogonal":[96],"second":[99],"problem:":[100],"excessive":[101],"empty":[102,117],"space.":[103,151],"Both":[104],"these":[106,123],"shortcomings":[107],"addressed":[109],"by":[110],"introducing":[111],"methods":[112],"removal":[115],"space":[118],"reduction.":[119],"We":[120],"show":[121],"that":[122],"modifications":[125],"only":[126],"moderately":[127],"increase":[128],"resulting":[130],"stress":[132],"value":[133],"new":[136],"while":[138],"they":[139],"remove":[140],"most":[141],"overlaps":[144],"reduce":[146],"amount":[148],"white":[150]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}