{"id":"https://openalex.org/W1827885666","doi":null,"title":"Semantically enhanced document clustering","display_name":"Semantically enhanced document clustering","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W1827885666","mag":"1827885666"},"language":"en","primary_location":{"id":"pmh:oai:https://orca.cardiff.ac.uk:47585","doi":null,"is_oa":true,"landing_page_url":"https://orca.cardiff.ac.uk/47585/1/2013StankovIDPhD.pdf","pdf_url":"https://orca.cardiff.ac.uk/47585/1/2013StankovIDPhD.pdf","source":{"id":"https://openalex.org/S4306401195","display_name":"ORCA Online Research @Cardiff (Cardiff University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I79510175","host_organization_name":"Cardiff University","host_organization_lineage":["https://openalex.org/I79510175"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://orca.cardiff.ac.uk/47585/1/2013StankovIDPhD.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041831781","display_name":"Ivan Stefanov Stankov","orcid":"https://orcid.org/0009-0005-2976-982X","observed_orcids":["https://orcid.org/0009-0005-2976-982X"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ivan Stankov","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5041831781"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9951000213623047,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9951000213623047,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.0017000000225380063,"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/T10028","display_name":"Topic Modeling","score":0.0013000000035390258,"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/document-clustering","display_name":"document clustering","score":0.984000027179718},{"id":"https://openalex.org/keywords/semantic-text-representation","display_name":"semantic text representation","score":0.7170000076293945},{"id":"https://openalex.org/keywords/levels-of-abstraction","display_name":"levels of abstraction","score":0.8539999723434448},{"id":"https://openalex.org/keywords/concept-indexing","display_name":"concept indexing","score":0.675000011920929},{"id":"https://openalex.org/keywords/wasserstein-distance","display_name":"Wasserstein distance","score":0.9710000157356262},{"id":"https://openalex.org/keywords/document-similarity","display_name":"document similarity","score":0.5860000252723694},{"id":"https://openalex.org/keywords/text-normalization","display_name":"text normalization","score":0.8069999814033508},{"id":"https://openalex.org/keywords/document-management","display_name":"document management","score":0.3619999885559082}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8981778025627136},{"id":"https://openalex.org/C177937566","wikidata":"https://www.wikidata.org/wiki/Q4223102","display_name":"Document clustering","level":3,"score":0.713900089263916},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6600874066352844},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.612361490726471},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5740403532981873},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.5527064204216003},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5418742895126343},{"id":"https://openalex.org/C39235581","wikidata":"https://www.wikidata.org/wiki/Q5158434","display_name":"Conceptual clustering","level":5,"score":0.5368308424949646},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.45684659481048584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4488178789615631},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4119647145271301},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.40019893646240234},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07244226336479187},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:https://orca.cardiff.ac.uk:47585","doi":null,"is_oa":true,"landing_page_url":"https://orca.cardiff.ac.uk/47585/1/2013StankovIDPhD.pdf","pdf_url":"https://orca.cardiff.ac.uk/47585/1/2013StankovIDPhD.pdf","source":{"id":"https://openalex.org/S4306401195","display_name":"ORCA Online Research @Cardiff (Cardiff University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I79510175","host_organization_name":"Cardiff University","host_organization_lineage":["https://openalex.org/I79510175"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},{"id":"pmh:oai:uilis.unsyiah.ac.id:35783","doi":null,"is_oa":false,"landing_page_url":"http://uilis.unsyiah.ac.id/opentheses/items/show/35783","pdf_url":null,"source":{"id":"https://openalex.org/S4377196378","display_name":"UPT. Syiah Kuala University Library (Syiah Kuala University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I187494767","host_organization_name":"Universitas Syiah Kuala","host_organization_lineage":["https://openalex.org/I187494767"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},{"id":"mag:1827885666","doi":null,"is_oa":false,"landing_page_url":"https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.571762","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:https://orca.cardiff.ac.uk:47585","doi":null,"is_oa":true,"landing_page_url":"https://orca.cardiff.ac.uk/47585/1/2013StankovIDPhD.pdf","pdf_url":"https://orca.cardiff.ac.uk/47585/1/2013StankovIDPhD.pdf","source":{"id":"https://openalex.org/S4306401195","display_name":"ORCA Online Research @Cardiff (Cardiff University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I79510175","host_organization_name":"Cardiff University","host_organization_lineage":["https://openalex.org/I79510175"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320350","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1827885666.pdf","grobid_xml":"https://content.openalex.org/works/W1827885666.grobid-xml"},"referenced_works_count":99,"referenced_works":["https://openalex.org/W8258861","https://openalex.org/W21550605","https://openalex.org/W23418094","https://openalex.org/W95524657","https://openalex.org/W100415715","https://openalex.org/W179579220","https://openalex.org/W250170256","https://openalex.org/W304239299","https://openalex.org/W572705667","https://openalex.org/W1520647843","https://openalex.org/W1535667454","https://openalex.org/W1536697368","https://openalex.org/W1546703457","https://openalex.org/W1647729745","https://openalex.org/W1651093245","https://openalex.org/W1660390307","https://openalex.org/W1731244441","https://openalex.org/W1736751365","https://openalex.org/W1790954942","https://openalex.org/W1828401780","https://openalex.org/W1950644452","https://openalex.org/W1956559956","https://openalex.org/W1964747248","https://openalex.org/W1965657003","https://openalex.org/W1966745814","https://openalex.org/W1971220772","https://openalex.org/W1971784203","https://openalex.org/W1971785050","https://openalex.org/W1978394996","https://openalex.org/W1979663447","https://openalex.org/W1987971958","https://openalex.org/W1992419399","https://openalex.org/W1995639191","https://openalex.org/W1996764654","https://openalex.org/W1997623609","https://openalex.org/W1998535556","https://openalex.org/W2005814226","https://openalex.org/W2006533296","https://openalex.org/W2008495066","https://openalex.org/W2010178645","https://openalex.org/W2010425028","https://openalex.org/W2024932032","https://openalex.org/W2034970542","https://openalex.org/W2040004971","https://openalex.org/W2041579795","https://openalex.org/W2045300586","https://openalex.org/W2048468590","https://openalex.org/W2048596282","https://openalex.org/W2054274648","https://openalex.org/W2058200372","https://openalex.org/W2060314721","https://openalex.org/W2064580901","https://openalex.org/W2068549609","https://openalex.org/W2072773380","https://openalex.org/W2079402222","https://openalex.org/W2081980673","https://openalex.org/W2083553929","https://openalex.org/W2091091431","https://openalex.org/W2092487229","https://openalex.org/W2094963775","https://openalex.org/W2095111112","https://openalex.org/W2095478124","https://openalex.org/W2097156061","https://openalex.org/W2098162425","https://openalex.org/W2099715766","https://openalex.org/W2102381086","https://openalex.org/W2103107199","https://openalex.org/W2106865714","https://openalex.org/W2110720087","https://openalex.org/W2117805756","https://openalex.org/W2120308175","https://openalex.org/W2122362606","https://openalex.org/W2122600670","https://openalex.org/W2131970106","https://openalex.org/W2132549764","https://openalex.org/W2133517430","https://openalex.org/W2137079713","https://openalex.org/W2137763598","https://openalex.org/W2138563491","https://openalex.org/W2139153206","https://openalex.org/W2140942285","https://openalex.org/W2141585940","https://openalex.org/W2143668817","https://openalex.org/W2145020055","https://openalex.org/W2146950091","https://openalex.org/W2147152072","https://openalex.org/W2150821532","https://openalex.org/W2153233077","https://openalex.org/W2159882563","https://openalex.org/W2161928750","https://openalex.org/W2166776180","https://openalex.org/W2166843810","https://openalex.org/W2322073430","https://openalex.org/W2341180284","https://openalex.org/W2612166593","https://openalex.org/W2912565176","https://openalex.org/W2962689487","https://openalex.org/W2999729612","https://openalex.org/W3139328003"],"related_works":["https://openalex.org/W1852132449","https://openalex.org/W2406237992","https://openalex.org/W2472759378","https://openalex.org/W6959635182","https://openalex.org/W2393772878","https://openalex.org/W2516464013","https://openalex.org/W7095272349","https://openalex.org/W3105205451","https://openalex.org/W1818608276","https://openalex.org/W3193284050"],"abstract_inverted_index":{"This":[0],"thesis":[1],"advocates":[2],"the":[3,23,35,38,51,66,72,96,121,124,128,165,189,193,215,240,258,261,269,286,297,362,367],"view":[4],"that":[5,175,228,343,348],"traditional":[6,196,241],"document":[7,178,184,198,264,281,293,300,370],"clustering":[8,39,82,90,104,118,134,199,216,242,246,265,274,301],"could":[9],"be":[10],"significantly":[11],"improved":[12,140,315],"by":[13,148,200,318,334],"representing":[14],"documents":[15,26,55,227,329],"at":[16,21],"different":[17,277],"levels":[18,150,345],"of":[19,37,95,98,123,130,151,167,183,188,195,260,288,299,346,369],"abstraction":[20,347],"which":[22,50,64,106,161,212],"similarity":[24,53,204,225,231,327],"between":[25,138,226,328],"is":[27,31,56,60,162,233,302],"considered.":[28],"The":[29,58,153],"improvement":[30],"with":[32,49,109],"regard":[33],"to":[34,41,61,70,78,86,102,115,219,238,250,279,350],"alignment":[36],"solutions":[40,91,105,217,247,275],"human":[42,110,220,251],"judgement.":[43,221,252],"\\nThe":[44,132,254,357],"proposed":[45,234],"methodology":[46,135,154,190,266,342],"employs":[47,155,229,344],"semantics":[48],"conceptual":[52],"be-tween":[54],"measured.":[57],"goal":[59],"design":[62],"algorithms":[63,243],"implement":[65],"meth-odology,":[67],"in":[68,244,296,366],"order":[69],"solve":[71],"following":[73],"research":[74,363],"problems:":[75],"(i)":[76,271],"how":[77,85,101,114],"obtain":[79,103],"multiple":[80,272],"deter-ministic":[81],"solutions;":[83],"(ii)":[84,285,310],"produce":[87,116],"coherent":[88,169,306],"large-scale":[89],"across":[92,145,308],"domains,":[93],"regardless":[94],"number":[97],"clusters;":[99],"(iii)":[100],"align":[107],"well":[108],"judgement;":[111],"and":[112,139,171,180,235,267,276,355,376],"(iv)":[113,322],"specific":[117],"solu-tions":[119],"from":[120],"perspective":[122],"user\u2019s":[125,352],"understanding":[126,354],"for":[127,164,224,304,325],"domain":[129,298],"interest.":[131],"developed":[133,163],"enhances":[136],"separation":[137],"coher-ence":[141],"within":[142],"clusters":[143,307],"generated":[144],"several":[146],"domains":[147],"using":[149,319,335],"abstraction.":[152],"a":[156,172,280,292,323,331,339,351],"semantically":[157,262,340],"enhanced":[158,263,341],"text":[159,197,316],"stemmer,":[160],"pur-pose":[166],"producing":[168,305],"clustering,":[170],"concept":[173,289],"index":[174],"provides":[176,313],"generic":[177],"representation":[179,294],"reduced":[181],"dimensionality":[182],"representation.":[185],"These":[186],"characteristics":[187],"enable":[191],"addressing":[192],"limitations":[194],"employing":[201],"computationally":[202],"expensive":[203],"measures":[205],"such":[206],"as":[207,291],"Earth":[208],"Mover\u2019s":[209],"Distance":[210],"(EMD),":[211],"theoretically":[213],"aligns":[214],"closer":[218,249],"A":[222],"threshold":[223],"many-to-many":[230,336],"matching":[232],"experimentally":[236],"proven":[237],"benefit":[239,361],"pro-ducing":[245],"aligned":[248],"\\n4":[253],"experimental":[255],"validation":[256],"demonstrates":[257],"scalability":[259],"supports":[268],"contributions:":[270],"deterministic":[273],"viewpoints":[278],"collection":[282],"are":[283],"obtained;":[284],"use":[287],"indexing":[290],"technique":[295],"beneficial":[303],"domains;":[309],"SETS":[311],"algorithm":[312],"an":[314],"normalisation":[317],"external":[320],"knowledge;":[321],"method":[324],"measuring":[326],"on":[330],"large":[332],"scale":[333],"matching;":[337],"(v)":[338],"correspond":[349],"background,":[353],"motivation.":[356],"achieved":[358],"results":[359],"will":[360],"community":[364],"working":[365],"area":[368],"management,":[371],"information":[372],"retrieval,":[373],"data":[374],"mining":[375],"knowledge":[377],"management.":[378]},"counts_by_year":[],"updated_date":"2026-09-26T08:19:03.415552","created_date":"2016-06-24T00:00:00"}
