{"id":"https://openalex.org/W2398730076","doi":null,"title":"Medical Imaging on the Semantic Web: Annotation and Image Markup.","display_name":"Medical Imaging on the Semantic Web: Annotation and Image Markup.","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2398730076","mag":"2398730076"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.158.4529","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.158.4529","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://facweb.cs.depaul.edu/research/vc/seminar/Paper/Rubin-AAAI-AIM-2008.pdf","raw_type":"text"},"volume":null,"type":"article","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/A5004965117","display_name":"Daniel L. Rubin","orcid":"https://orcid.org/0000-0001-5057-4369","observed_orcids":["https://orcid.org/0000-0001-5057-4369"]},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel L. Rubin","raw_affiliation_strings":["Stanford University, Stanford, United States"],"raw_orcid":"https://orcid.org/0000-0001-5057-4369","affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, United States","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113710493","display_name":"Pattanasak Mongkolwat","orcid":"https://orcid.org/0000-0002-7905-1024","observed_orcids":["https://orcid.org/0000-0002-7905-1024"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pattanasak Mongkolwat","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048565965","display_name":"Vladimir Kleper","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vladimir Kleper","raw_affiliation_strings":["Northwestern University, Evanston, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, United States","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079823530","display_name":"Kaustubh Supekar","orcid":"https://orcid.org/0000-0003-0255-4093","observed_orcids":["https://orcid.org/0000-0003-0255-4093"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kaustubh Supekar","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-0255-4093","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5064566560","display_name":"David S. Channin","orcid":"https://orcid.org/0000-0002-3064-6270","observed_orcids":["https://orcid.org/0000-0002-3064-6270"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"David S. Channin","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-3064-6270","affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":14.2745,"has_fulltext":false,"cited_by_count":73,"citation_normalized_percentile":{"value":0.98867274,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"93","last_page":"98"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.7627000212669373,"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":0.7627000212669373,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.21070000529289246,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.008200000040233135,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/diagnostic-imaging","display_name":"diagnostic imaging","score":0.7620000243186951},{"id":"https://openalex.org/keywords/semantic-web","display_name":"semantic web","score":0.9670000076293945},{"id":"https://openalex.org/keywords/image-annotation","display_name":"image annotation","score":0.9330000281333923},{"id":"https://openalex.org/keywords/ontology-information-science","display_name":"ontology (information science)","score":0.9160000085830688},{"id":"https://openalex.org/keywords/interoperability","display_name":"interoperability","score":0.9449999928474426},{"id":"https://openalex.org/keywords/semantic-integration","display_name":"semantic integration","score":0.6850000023841858},{"id":"https://openalex.org/keywords/medical-image-archives","display_name":"medical image archives","score":0.5830000042915344},{"id":"https://openalex.org/keywords/hospital-information-systems","display_name":"hospital information systems","score":0.8709999918937683},{"id":"https://openalex.org/keywords/biomedical-data-integration","display_name":"biomedical data integration","score":0.4790000021457672}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8020434975624084},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.7166831493377686},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.6464551687240601},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5714209675788879},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.5650861859321594},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5576138496398926},{"id":"https://openalex.org/C45874996","wikidata":"https://www.wikidata.org/wiki/Q37045","display_name":"Markup language","level":3,"score":0.5547950863838196},{"id":"https://openalex.org/C20136886","wikidata":"https://www.wikidata.org/wiki/Q749647","display_name":"Interoperability","level":2,"score":0.5547522306442261},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5144765377044678},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.49082836508750916},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4790019690990448},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.47368836402893066},{"id":"https://openalex.org/C137982476","wikidata":"https://www.wikidata.org/wiki/Q7072326","display_name":"Open Biomedical Ontologies","level":5,"score":0.4309025704860687},{"id":"https://openalex.org/C167379230","wikidata":"https://www.wikidata.org/wiki/Q1026884","display_name":"Semantic Web Stack","level":3,"score":0.2920159101486206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23477327823638916},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19413527846336365},{"id":"https://openalex.org/C8797682","wikidata":"https://www.wikidata.org/wiki/Q2115","display_name":"XML","level":2,"score":0.15884727239608765},{"id":"https://openalex.org/C50382505","wikidata":"https://www.wikidata.org/wiki/Q2553356","display_name":"OWL-S","level":4,"score":0.10786384344100952},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.158.4529","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.158.4529","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://facweb.cs.depaul.edu/research/vc/seminar/Paper/Rubin-AAAI-AIM-2008.pdf","raw_type":"text"},{"id":"mag:2398730076","doi":null,"is_oa":false,"landing_page_url":"http://facweb.cs.depaul.edu/research/vc/seminar/Paper/Rubin-AAAI-AIM-2008.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306420577","display_name":"National Conference on Artificial Intelligence","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"National Conference on Artificial Intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W387168707","https://openalex.org/W1533088900","https://openalex.org/W1544923801","https://openalex.org/W1553721887","https://openalex.org/W1562706316","https://openalex.org/W1804396726","https://openalex.org/W1971919467","https://openalex.org/W1996283195","https://openalex.org/W2043856222","https://openalex.org/W2057947771","https://openalex.org/W2058660727","https://openalex.org/W2075241876","https://openalex.org/W2104001816","https://openalex.org/W2114063639","https://openalex.org/W2125238156","https://openalex.org/W2127480960","https://openalex.org/W2137999759","https://openalex.org/W2146585393","https://openalex.org/W2992383059"],"related_works":["https://openalex.org/W2097619113","https://openalex.org/W202806440","https://openalex.org/W2117586984","https://openalex.org/W1511892222","https://openalex.org/W1547158721","https://openalex.org/W2068234316","https://openalex.org/W2057130870","https://openalex.org/W7162366242","https://openalex.org/W2028338220","https://openalex.org/W2374312900"],"abstract_inverted_index":{"Medical":[0],"images":[1,32,77,148,195,216],"are":[2,18,38,59,131],"proliferating":[3],"at":[4],"an":[5,108],"explosive":[6],"pace,":[7],"similar":[8,54],"to":[9,20,23,64,90,121,135,164,196,199,211,224],"other":[10],"types":[11],"of":[12,71,75,97,110,125,167,174,215,237,243],"data":[13,201,222],"in":[14,41,46,56,78,158,184],"e-Science.":[15],"Technological":[16],"solutions":[17],"needed":[19],"enable":[21,65,194,212],"machines":[22],"help":[24],"researchers":[25,141,229],"and":[26,29,62,69,94,113,118,142,186,205,217,230,240],"physicians":[27,143,231],"access":[28],"use":[30,70],"these":[31],"optimally.":[33],"While":[34],"Semantic":[35,188],"Web":[36],"technologies":[37,55],"showing":[39],"promise":[40],"tackling":[42],"the":[43,66,92,116,123,137,147,159,187,219,234,238],"information":[44,85],"challenges":[45],"biomedicine,":[47],"less":[48],"attention":[49],"is":[50,89,210],"focused":[51],"on":[52,149],"leveraging":[53],"imaging.":[57],"We":[58,106,130],"developing":[60],"methods":[61],"tools":[63],"transparent":[67],"discovery":[68],"large":[72],"distributed":[73],"collections":[74],"medical":[76,126,150,179],"cyberspace":[79],"as":[80,82,144,156],"well":[81],"within":[83],"hospital":[84],"systems.":[86],"Our":[87,207],"approach":[88],"make":[91],"human":[93],"machine":[95],"descriptions":[96],"image":[98,111,127,182,244],"pixel":[99,128],"content":[100,226],"machine-accessible":[101],"through":[102],"annotation":[103,112],"using":[104],"ontologies.":[105],"created":[107],"ontology":[109,160],"markup,":[114],"specifying":[115],"entities":[117],"relations":[119],"necessary":[120],"represent":[122],"semantics":[124,204],"content.":[129,245],"creating":[132],"a":[133,165,172],"toolkit":[134],"collect":[136],"annotations":[138,192],"directly":[139],"from":[140],"they":[145],"view":[146],"imaging":[151],"workstations.":[152],"Image":[153],"annotations,":[154],"represented":[155],"instances":[157],"can":[161,232],"be":[162,197],"serialized":[163],"variety":[166,173],"formats,":[168],"enabling":[169],"interoperability":[170],"among":[171],"systems":[175],"that":[176,228],"contain":[177],"images:":[178],"records":[180],"systems,":[181],"archives":[183],"hospitals,":[185],"Web.":[189],"The":[190],"ontology-based":[191],"will":[193],"related":[198,203,220],"non-image":[200],"having":[202],"relevance.":[206],"ultimate":[208],"goal":[209],"semantic":[213],"integration":[214],"all":[218],"scientific":[221],"pertaining":[223],"their":[225],"so":[227],"have":[233],"best":[235],"understanding":[236],"biological":[239],"physiological":[241],"significance":[242]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":10},{"year":2012,"cited_by_count":7}],"updated_date":"2026-10-03T13:16:28.481748","created_date":"2016-06-24T00:00:00"}
