{"id":"https://openalex.org/W3022922486","doi":null,"title":"Improving Knowledge Accessibility on the Web - from Knowledge Base Augmentation to Search as Learning","display_name":"Improving Knowledge Accessibility on the Web - from Knowledge Base Augmentation to Search as Learning","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3022922486","mag":"3022922486"},"language":"en","primary_location":{"id":"pmh:oai:docserv.uni-duesseldorf.de:52678","doi":null,"is_oa":false,"landing_page_url":"https://docserv.uni-duesseldorf.de/servlets/DocumentServlet?id=52678","pdf_url":null,"source":{"id":"https://openalex.org/S4406922359","display_name":"Univ. Duesseldorf: Duesseldorfer Dokumenten- und Publikationsserver","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Dissertation"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"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/A5031363707","display_name":"Ran Yu","orcid":"https://orcid.org/0000-0002-1619-3164","observed_orcids":["https://orcid.org/0000-0002-1619-3164"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ran Yu","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-1619-3164","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5031363707"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.5029000043869019,"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"}},"topics":[{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.5029000043869019,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.426800012588501,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.019300000742077827,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/knowledge-base-completeness","display_name":"knowledge base completeness","score":0.7429999709129333},{"id":"https://openalex.org/keywords/search-as-learning","display_name":"search as learning","score":0.6499999761581421},{"id":"https://openalex.org/keywords/knowledge-states","display_name":"knowledge states","score":0.328000009059906},{"id":"https://openalex.org/keywords/microdata","display_name":"microdata","score":0.8090000152587891},{"id":"https://openalex.org/keywords/rdfa","display_name":"RDFa","score":0.9919999837875366},{"id":"https://openalex.org/keywords/microformats","display_name":"microformats","score":0.9800000190734863},{"id":"https://openalex.org/keywords/entity-resolution","display_name":"entity resolution","score":0.8100000023841858},{"id":"https://openalex.org/keywords/knowledge-graphs","display_name":"knowledge graphs","score":0.5339999794960022}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7275155186653137},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.5851951241493225},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.571604311466217},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4290223717689514},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.41023242473602295},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3656834065914154},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3294795751571655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20638251304626465},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:docserv.uni-duesseldorf.de:52678","doi":null,"is_oa":false,"landing_page_url":"https://docserv.uni-duesseldorf.de/servlets/DocumentServlet?id=52678","pdf_url":null,"source":{"id":"https://openalex.org/S4406922359","display_name":"Univ. Duesseldorf: Duesseldorfer Dokumenten- und Publikationsserver","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Dissertation"},{"id":"mag:3022922486","doi":null,"is_oa":false,"landing_page_url":"https://docserv.uni-duesseldorf.de/servlets/DocumentServlet?id=52678","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":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W11588862","https://openalex.org/W77414827","https://openalex.org/W102708294","https://openalex.org/W111429688","https://openalex.org/W115146229","https://openalex.org/W155236017","https://openalex.org/W321889011","https://openalex.org/W1481128830","https://openalex.org/W1497523460","https://openalex.org/W1507711477","https://openalex.org/W1565102206","https://openalex.org/W1973653891","https://openalex.org/W1975409939","https://openalex.org/W1979532929","https://openalex.org/W1981261334","https://openalex.org/W1983132692","https://openalex.org/W2002233825","https://openalex.org/W2012910912","https://openalex.org/W2016753842","https://openalex.org/W2020022499","https://openalex.org/W2022166150","https://openalex.org/W2038880450","https://openalex.org/W2050744589","https://openalex.org/W2060740258","https://openalex.org/W2085081981","https://openalex.org/W2094728533","https://openalex.org/W2099391294","https://openalex.org/W2104217798","https://openalex.org/W2104255729","https://openalex.org/W2107598941","https://openalex.org/W2113347069","https://openalex.org/W2119465010","https://openalex.org/W2125671490","https://openalex.org/W2127378806","https://openalex.org/W2127426251","https://openalex.org/W2128407051","https://openalex.org/W2133134975","https://openalex.org/W2140387367","https://openalex.org/W2151592910","https://openalex.org/W2156037541","https://openalex.org/W2157988812","https://openalex.org/W2167277498","https://openalex.org/W2169585110","https://openalex.org/W2237396823","https://openalex.org/W2262562434","https://openalex.org/W2266221055","https://openalex.org/W2293539549","https://openalex.org/W2295240344","https://openalex.org/W2320718773","https://openalex.org/W2403354125","https://openalex.org/W2405571848","https://openalex.org/W2407215154","https://openalex.org/W2460313383","https://openalex.org/W2525397582","https://openalex.org/W2536126309","https://openalex.org/W2578002765","https://openalex.org/W2579395854","https://openalex.org/W2604264634","https://openalex.org/W2611750404","https://openalex.org/W2612593154","https://openalex.org/W2615339121","https://openalex.org/W2726137762","https://openalex.org/W2740065698","https://openalex.org/W2758421291","https://openalex.org/W2791416360","https://openalex.org/W2791433484","https://openalex.org/W2798833441","https://openalex.org/W2809805958","https://openalex.org/W2885604786","https://openalex.org/W2955513607","https://openalex.org/W3135920523"],"related_works":["https://openalex.org/W2891246640","https://openalex.org/W2006064271","https://openalex.org/W4410087695","https://openalex.org/W2119274728","https://openalex.org/W3088227644","https://openalex.org/W1524556562","https://openalex.org/W2128407051","https://openalex.org/W2798833441","https://openalex.org/W2069886760","https://openalex.org/W2295527813"],"abstract_inverted_index":{"The":[0,148,851],"World":[1],"Wide":[2],"Web":[3,38,66,127,157,191,214,248,265,311,333,416,459,490,810],"constitutes":[4],"the":[5,33,37,51,60,65,74,84,105,115,120,132,170,188,202,242,247,275,296,332,347,411,458,481,505,512,548,564,570,596,660,665,682,688,709,754,758,798,859],"largest":[6],"collection":[7],"of":[8,15,32,54,62,76,83,89,109,114,131,151,156,167,172,185,187,190,205,244,259,279,301,340,349,377,389,403,434,443,457,484,498,515,550,566,576,582,657,667,670,718,757,785,800,807,846,861,868],"knowledge":[9,34,63,91,110,121,142,196,203,245,260,280,350,470,513,544,549,560,574,597,605,636,639,689,710,741,744,802,805,862],"and":[10,27,41,102,107,143,177,199,252,262,277,282,326,334,376,406,421,441,446,463,528,537,553,573,588,638,652,663,673,686,691,743,780,788,804,827,848],"is":[11,39,42,69,93,112,129,182,731,825],"accessed":[12],"by":[13],"billions":[14],"users":[16,206,516,527,551,808],"in":[17,500,517,624,708,721,772,809],"their":[18,447,555,559,790],"daily":[19],"lives":[20],"through":[21,400,607],"applications":[22],"such":[23,55,77,438,823],"as":[24,81,153,299,439],"search":[25,128,158,192,215,266,285,519,531,556,571,608,646,697,751,811,866],"engines":[26,216],"smart":[28,56],"assistants.":[29],"However,":[30,753],"most":[31,85,133],"available":[35],"on":[36,64,193,240,246,323,331,431,454,504,569,585,595,600,865],"unstructured":[40],"difficult":[43],"for":[44,67,72,118,123,222,249,467,797,822],"machines":[45,68,251],"to":[46,50,99,139,144,164,227,273,283,287,345,489,611,632,684,704,733,737,792,829],"process":[47],"which":[48,396],"leads":[49],"lowered":[52],"performance":[53,75,483,666,703,860],"applications.":[57,78],"Hence":[58],"improving":[59,73,119,241],"accessibility":[61,122,243],"a":[70,165,183,194,314,386,393,401,426,432,451,455,509,579,603,634,645,654,668,739,750,761,782,843],"prerequisite":[71],"Knowledge":[79,306,496,622,720],"base":[80,351],"one":[82,113,130],"commonly":[86,137],"used":[87,138],"types":[88],"machine-readable":[90],"resources,":[92],"inherently":[94],"incomplete,":[95],"particularly":[96],"with":[97,309,342,415,475,764],"respect":[98],"tail":[100],"entities":[101],"properties.":[103],"Improving":[104],"completeness":[106,276],"correctness":[108,278],"bases":[111,281],"major":[116],"challenges":[117,413],"machines.":[124],"ubiquitous":[134],"online":[135],"activities,":[136],"acquire":[140],"new":[141],"satisfy":[145],"learning-related":[146],"objectives.":[147],"im-":[149],"portance":[150],"learning":[152,231,263,428],"an":[154,209,337,705],"outcome":[155],"has":[159],"been":[160,767],"recognized":[161],"widely,":[162],"leading":[163],"variety":[166],"research":[168],"at":[169],"intersection":[171],"information":[173,538,567,583],"retrieval,":[174],"human-computer":[175],"interaction":[176],"learning-oriented":[178],"sciences.":[179],"Yet,":[180],"there":[181],"lack":[184],"understanding":[186],"impact":[189,565],"user\u2019s":[195,635,740],"state.":[197],"Understanding":[198],"automatically":[200],"predicting":[201,801],"gain":[204,514,575,606,640,692,742,803],"can":[207,224],"be":[208,225],"important":[210,815],"step":[211],"forward":[212],"if":[213],"that":[217,729,760,818,855],"are":[218,360,370,373,383],"currently":[219],"opti-":[220],"mized":[221],"relevance":[223,442],"molded":[226],"better":[228],"serve":[229],"human":[230,289],"needs.":[232,539],"In":[235],"this":[236,292,302,773],"thesis,":[237],"we":[238,269,294,424,523,546,680,776,833],"focus":[239],"both":[250],"humans.":[253],"We":[254,391,449,507,562,628,813],"carried":[255],"out":[256],"comprehensive":[257,655],"analysis":[258],"resources":[261,759],"related":[264],"sessions.":[267,520,698,812],"Furthermore,":[268],"propose":[270],"automated":[271],"approaches":[272],"improve":[274,794],"allow":[284],"systems":[286],"understand":[288],"learning.":[290],"To":[291,418],"end":[293],"make":[295,814],"following":[297],"contributions":[298],"part":[300],"thesis:":[303],"\u2022":[305,494,619,715],"Base":[307],"Augmentation":[308],"Structured":[310],"Markup.":[312],"As":[313],"com-":[315,473],"plementary":[316],"data":[317,341,477,821],"source,":[318],"embedded":[319],"entity":[320,368,404],"markup":[321,359,491],"based":[322,430],"Microdata,":[324],"RDFa,":[325],"Microformats":[327],"have":[328,765],"become":[329],"prevalent":[330],"con-":[335],"stitute":[336],"unprecedented":[338],"source":[339],"significant":[343,465,580],"potential":[344,466],"aid":[346],"task":[348,799],"augmentation":[352],"(KBA).":[353],"RDF":[354],"statements":[355],"ex-":[356],"tracted":[357],"from":[358,363,641,659,746],"fundamentally":[361],"different":[362,535],"traditional":[364],"knowl-":[365],"edge":[366],"graphs:":[367],"descriptions":[369],"flat,":[371],"facts":[372,445],"highly":[374],"redundant":[375],"varied":[378],"quality,":[379],"and,":[380],"explicit":[381],"links":[382],"missing":[384],"despite":[385],"vast":[387],"amount":[388],"coreferences.":[390],"present":[392,508],"novel":[394,783],"approach":[395,486,857],"addresses":[397],"these":[398],"issues":[399],"combination":[402],"matching":[405],"fusion":[407,478],"techniques":[408],"geared":[409,839],"towards":[410],"specific":[412],"associated":[414],"markup.":[417],"ensure":[419],"precise":[420],"non-redundant":[422],"results,":[423,679],"follow":[425],"supervised":[427,630,649,735,795],"ap-proach":[429],"set":[433,656,784],"features":[435,642,658,694,787],"considering":[436],"aspects":[437],"quality":[440],"entities,":[444],"sources.":[448],"perform":[450],"thorough":[452],"evaluation":[453],"subset":[456,845],"Data":[460],"Commons":[461],"dataset":[462],"show":[464],"augmenting":[468],"existing":[469,476,706],"bases.":[471],"A":[472],"parison":[474],"baselines":[479],"demonstrates":[480,854],"superior":[482,702],"our":[485,678,778,856],"when":[487],"applied":[488],"data.":[492],"Analyzing":[495],"Gain":[497,623],"Users":[499,599],"Informational":[501,625,722],"Search":[502,626,723],"Sessions":[503],"Web.":[506],"study":[510],"addressing":[511],"informational":[518],"Using":[521],"crowdsourcing,":[522],"recruited":[524],"500":[525],"distinct":[526],"orchestrated":[529],"real-world":[530],"sessions":[532,609,867],"spanning":[533],"10":[534],"topics":[536,612],"By":[540],"using":[541,693],"scientifically":[542],"formulated":[543],"tests":[545],"calibrated":[547],"before":[552],"after":[554],"sessions,":[557],"quantifying":[558],"gain.":[561,598],"investigated":[563],"needs":[568],"behavior":[572],"users,":[577],"revealing":[578],"effect":[581,594],"need":[584],"user":[586,747,762],"queries":[587],"navigational":[589],"patterns,":[590],"but":[591],"no":[592],"direct":[593],"average":[601],"exhibited":[602],"higher":[604],"pertaining":[610],"they":[613],"were":[614],"less":[615],"familiar":[616],"with.":[617],"Predicting":[620],"User":[621,719],"Sessions.":[627,724],"introduce":[629,781,834],"models":[631,650,700,736,796,864],"predict":[633,685,738],"state":[637,690,711,745,806],"captured":[643],"during":[644,696,749],"session.":[647,752],"Our":[648,699,725],"utilise":[651],"derive":[653],"current":[661],"state-of-the-art":[662],"compare":[664],"range":[669],"feature":[671,674,836],"sets":[672],"selection":[675,837],"strategies.":[676],"Through":[677],"demonstrate":[681,789],"ability":[683],"classify":[687],"obtained":[695],"exhibit":[701],"baseline":[707],"prediction":[712,863],"task.":[713,774],"Topic-independent":[716],"Modeling":[717],"previous":[726],"investigation":[727],"shows":[728],"it":[730],"possible":[732],"build":[734],"interactions":[748],"char-":[755],"acteristics":[756],"interacts":[763],"neither":[766],"sufficiently":[768],"explored,":[769],"nor":[770],"exploited":[771],"Hence,":[775],"further":[777],"exploration":[779],"resource-centric":[786],"capacity":[791],"significantly":[793],"contributions,":[816],"given":[817],"reliable":[819],"training":[820],"tasks":[824],"sparse":[826],"costly":[828],"obtain.":[830],"More":[831],"importantly,":[832],"various":[835],"strategies":[838],"to-":[840],"wards":[841],"selecting":[842],"limited":[844],"effective":[847],"generalizable":[849],"features.viii":[850],"experimental":[852],"result":[853],"improves":[858],"unseen":[869],"topics.":[870]},"counts_by_year":[],"updated_date":"2026-09-09T07:26:56.047234","created_date":"2020-05-13T00:00:00"}