{"id":"https://openalex.org/W2050049249","doi":"https://doi.org/10.1145/1378889.1378939","title":"Identification of time-varying objects on the web","display_name":"Identification of time-varying objects on the web","publication_year":2008,"publication_date":"2008-06-16","ids":{"openalex":"https://openalex.org/W2050049249","doi":"https://doi.org/10.1145/1378889.1378939","mag":"2050049249"},"language":"en","primary_location":{"id":"doi:10.1145/1378889.1378939","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1378889.1378939","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries","raw_type":"proceedings-article"},"type":"conference-paper","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/A5056709028","display_name":"Satoshi Oyama","orcid":"https://orcid.org/0000-0002-8124-3578"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoshi Oyama","raw_affiliation_strings":["Kyoto University, Kyoto, Japan","Kyoto University, Kyoto, Japan#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]},{"raw_affiliation_string":"Kyoto University, Kyoto, Japan#TAB#","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038017861","display_name":"Kenichi Shirasuna","orcid":null},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenichi Shirasuna","raw_affiliation_strings":["Kyoto University, Kyoto, Japan","Kyoto University, Kyoto, Japan#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]},{"raw_affiliation_string":"Kyoto University, Kyoto, Japan#TAB#","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101943741","display_name":"Katsumi Tanaka","orcid":"https://orcid.org/0000-0003-1731-931X"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Katsumi Tanaka","raw_affiliation_strings":["Kyoto University, Kyoto, Japan","Kyoto University, Kyoto, Japan#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]},{"raw_affiliation_string":"Kyoto University, Kyoto, Japan#TAB#","institution_ids":["https://openalex.org/I22299242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I22299242"],"apc_list":null,"apc_paid":null,"fwci":1.7751,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.85145931,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"285","last_page":"294"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9998000264167786,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9998000264167786,"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/T11719","display_name":"Data Quality and Management","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9979000091552734,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6992060542106628},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6785634756088257},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6696410179138184},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6676381826400757},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6269382238388062},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5619016289710999},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.5609263777732849},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.48577502369880676},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46570709347724915},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.4378662407398224},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.42392027378082275},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40240979194641113},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2599191665649414},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1570998728275299}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6992060542106628},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6785634756088257},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6696410179138184},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6676381826400757},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6269382238388062},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5619016289710999},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.5609263777732849},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.48577502369880676},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46570709347724915},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.4378662407398224},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.42392027378082275},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40240979194641113},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2599191665649414},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1570998728275299},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1378889.1378939","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1378889.1378939","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320912","display_name":"Ministry of Education, Culture, Sports, Science and Technology","ror":"https://ror.org/048rj2z13"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1489992655","https://openalex.org/W1503022836","https://openalex.org/W1554478012","https://openalex.org/W1556884209","https://openalex.org/W1566953353","https://openalex.org/W1575024737","https://openalex.org/W1608864735","https://openalex.org/W1971784203","https://openalex.org/W1982678692","https://openalex.org/W2040041305","https://openalex.org/W2067566391","https://openalex.org/W2073471108","https://openalex.org/W2110896767","https://openalex.org/W2111625757","https://openalex.org/W2121080163","https://openalex.org/W2128915886","https://openalex.org/W2130766266","https://openalex.org/W2135223301","https://openalex.org/W2145046271","https://openalex.org/W2147865945","https://openalex.org/W2153911474","https://openalex.org/W2154785834","https://openalex.org/W2160005730","https://openalex.org/W2162337786","https://openalex.org/W2164456230","https://openalex.org/W2167075392","https://openalex.org/W2170236196","https://openalex.org/W2185093343","https://openalex.org/W2264709743","https://openalex.org/W2319660501","https://openalex.org/W2426886874","https://openalex.org/W6687005723","https://openalex.org/W6770641979"],"related_works":["https://openalex.org/W2392320810","https://openalex.org/W4292477917","https://openalex.org/W2078609410","https://openalex.org/W2375480909","https://openalex.org/W2353314428","https://openalex.org/W2387724274","https://openalex.org/W282683215","https://openalex.org/W4239643353","https://openalex.org/W1983265578","https://openalex.org/W2387801216"],"abstract_inverted_index":{"We":[0],"have":[1],"developed":[2],"a":[3,80,122],"method":[4,120,123,135],"for":[5,14,44,65],"determining":[6],"whether":[7],"data":[8,41,63,74,96],"found":[9],"on":[10,104],"the":[11,15,24,37,45,59,62,84,92,105,108,133,137],"Web":[12],"are":[13,64],"same":[16,46],"or":[17],"different":[18,66],"objects":[19,99],"that":[20,39,48,61,124,132],"takes":[21],"into":[22],"account":[23],"possibility":[25],"of":[26,86,107,141],"changes":[27,51],"in":[28,52,111],"their":[29],"attribute":[30,54,127],"values":[31,55,128],"over":[32,56],"time.":[33],"Specifically,":[34],"we":[35,69,89,113],"estimate":[36],"probability":[38,60],"observed":[40,73],"were":[42],"generated":[43],"object":[47,142],"has":[49],"undergone":[50],"its":[53],"time":[57],"and":[58,68,97,121,139],"objects,":[67],"define":[70],"similarities":[71],"between":[72,94,117],"using":[75,101],"these":[76],"probabilities.":[77],"By":[78],"giving":[79],"specific":[81],"form":[82],"to":[83],"distributions":[85],"time-varying":[87],"attributes,":[88],"can":[90],"calculate":[91],"similarity":[93],"given":[95],"identify":[98],"by":[100],"agglomerative":[102],"clustering":[103],"basis":[106],"similarity.":[109],"Experiments":[110],"which":[112],"compared":[114],"identification":[115],"accuracies":[116],"our":[118],"proposed":[119,134],"regards":[125],"all":[126],"as":[129],"constant":[130],"showed":[131],"improves":[136],"precision":[138],"recall":[140],"identification.":[143]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
