{"id":"https://openalex.org/W2099109083","doi":"https://doi.org/10.1109/cbmi.2010.5529911","title":"Automatic tag generation for photos using contextual information and description logics","display_name":"Automatic tag generation for photos using contextual information and description logics","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2099109083","doi":"https://doi.org/10.1109/cbmi.2010.5529911","mag":"2099109083"},"language":"en","primary_location":{"id":"doi:10.1109/cbmi.2010.5529911","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbmi.2010.5529911","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Workshop on Content Based Multimedia Indexing (CBMI)","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/A5062210163","display_name":"Joakim Soderberg","orcid":null},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Joakim Soderberg","raw_affiliation_strings":["Ericsson Research, Stockholm, Sweden","Ericsson Research, 16480 Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ericsson Research, Stockholm, Sweden","institution_ids":["https://openalex.org/I1306339040"]},{"raw_affiliation_string":"Ericsson Research, 16480 Stockholm, Sweden","institution_ids":["https://openalex.org/I1306339040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079444315","display_name":"Eirini Kakogianni","orcid":null},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Eirini Kakogianni","raw_affiliation_strings":["Ericsson Research Limited, Stockholm, Sweden","Ericsson Research, 16480 Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ericsson Research Limited, Stockholm, Sweden","institution_ids":["https://openalex.org/I1306339040"]},{"raw_affiliation_string":"Ericsson Research, 16480 Stockholm, Sweden","institution_ids":["https://openalex.org/I1306339040"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1306339040"],"apc_list":null,"apc_paid":null,"fwci":0.3229,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62320203,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9948999881744385,"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":0.8561761975288391},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.7879944443702698},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.700707197189331},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6939945220947266},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.6837511658668518},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6441693305969238},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6063252091407776},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5692321062088013},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.5619785785675049},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5547048449516296},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.546215295791626},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3834232687950134},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3674966096878052},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.33807095885276794}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8561761975288391},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.7879944443702698},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.700707197189331},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6939945220947266},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.6837511658668518},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6441693305969238},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6063252091407776},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5692321062088013},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.5619785785675049},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5547048449516296},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.546215295791626},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3834232687950134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3674966096878052},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33807095885276794},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cbmi.2010.5529911","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbmi.2010.5529911","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Workshop on Content Based Multimedia Indexing (CBMI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1508729034","https://openalex.org/W1793807384","https://openalex.org/W1820815218","https://openalex.org/W1990843604","https://openalex.org/W1992402038","https://openalex.org/W2066882130","https://openalex.org/W2110596358","https://openalex.org/W2115226043","https://openalex.org/W2148698197","https://openalex.org/W2153447197","https://openalex.org/W6638222051"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W2776293731","https://openalex.org/W2610919777","https://openalex.org/W2965230088","https://openalex.org/W1534806717","https://openalex.org/W4293389049","https://openalex.org/W4243630814"],"abstract_inverted_index":{"We":[0,35],"present":[1],"the":[2,20,24],"design":[3],"of":[4,16,57],"a":[5,14],"system":[6,12,75],"for":[7,50,111],"automatic":[8,112],"photo":[9,25],"annotation.":[10],"The":[11,54,74],"provides":[13],"set":[15],"tags":[17],"by":[18],"combining":[19,97],"context":[21],"in":[22,67],"which":[23,83,92],"was":[26],"captured":[27],"with":[28],"prior":[29],"knowledge":[30,62],"about":[31],"popular":[32],"annotation":[33],"concepts.":[34],"exploit":[36],"semantic":[37],"web":[38],"technologies,":[39],"such":[40],"as":[41],"RDF":[42],"and":[43,49,70,101],"OWL,":[44],"to":[45,63,104],"store":[46],"structured":[47],"metadata":[48],"representing":[51],"domain":[52],"knowledge.":[53],"inferencing":[55],"capabilities":[56],"Description":[58],"Logics":[59],"allow":[60],"new":[61],"be":[64],"deduced":[65],"resulting":[66],"more":[68],"useful":[69],"meaningful":[71],"tag":[72,113],"suggestions.":[73],"is":[76],"evaluated":[77],"quantitatively":[78],"using":[79,102],"randomly":[80],"chosen":[81],"photos":[82],"were":[84],"manually":[85],"annotated.":[86],"Experiments":[87],"have":[88],"demonstrated":[89],"good":[90],"performance":[91],"strengthens":[93],"our":[94],"belief":[95],"that":[96],"several":[98],"information":[99],"sources":[100],"inference":[103],"make":[105],"educated":[106],"guesses":[107],"has":[108],"great":[109],"potential":[110],"generation.":[114]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}