{"id":"https://openalex.org/W2029806947","doi":"https://doi.org/10.1145/2557977.2558053","title":"Multi-level sequence alignment","display_name":"Multi-level sequence alignment","publication_year":2014,"publication_date":"2014-01-09","ids":{"openalex":"https://openalex.org/W2029806947","doi":"https://doi.org/10.1145/2557977.2558053","mag":"2029806947"},"language":"en","primary_location":{"id":"doi:10.1145/2557977.2558053","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2557977.2558053","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 International Conference on Ubiquitous Information Management and Communication","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/A5089768566","display_name":"Jong-Kyu Seo","orcid":null},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jong-kyu Seo","raw_affiliation_strings":["Pusan National University, Korea"],"affiliations":[{"raw_affiliation_string":"Pusan National University, Korea","institution_ids":["https://openalex.org/I4921948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030556050","display_name":"Haesung Tak","orcid":null},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hae-sung Tak","raw_affiliation_strings":["Pusan National University, Korea"],"affiliations":[{"raw_affiliation_string":"Pusan National University, Korea","institution_ids":["https://openalex.org/I4921948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008167944","display_name":"Hwan-Gue Cho","orcid":null},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hwan-gue Cho","raw_affiliation_strings":["Pusan National University, Korea"],"affiliations":[{"raw_affiliation_string":"Pusan National University, Korea","institution_ids":["https://openalex.org/I4921948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5089768566"],"corresponding_institution_ids":["https://openalex.org/I4921948"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07858482,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9994999766349792,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9994999766349792,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9984999895095825,"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":0.9908000230789185,"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/block","display_name":"Block (permutation group theory)","score":0.7389448881149292},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6704909205436707},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6267169117927551},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.573674201965332},{"id":"https://openalex.org/keywords/edit-distance","display_name":"Edit distance","score":0.550148606300354},{"id":"https://openalex.org/keywords/block-size","display_name":"Block size","score":0.45693910121917725},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.44636955857276917},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4336608052253723},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4125412404537201},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4108084440231323},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40558600425720215},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33804553747177124},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24640938639640808},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.10502016544342041},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.07564964890480042}],"concepts":[{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.7389448881149292},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6704909205436707},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6267169117927551},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.573674201965332},{"id":"https://openalex.org/C44359876","wikidata":"https://www.wikidata.org/wiki/Q5338467","display_name":"Edit distance","level":2,"score":0.550148606300354},{"id":"https://openalex.org/C41431624","wikidata":"https://www.wikidata.org/wiki/Q1053357","display_name":"Block size","level":3,"score":0.45693910121917725},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.44636955857276917},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4336608052253723},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4125412404537201},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4108084440231323},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40558600425720215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33804553747177124},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24640938639640808},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.10502016544342041},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.07564964890480042},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2557977.2558053","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2557977.2558053","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 International Conference on Ubiquitous Information Management and Communication","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7345846377","display_name":null,"funder_award_id":"2011-0015359","funder_id":"https://openalex.org/F4320322347","funder_display_name":"Ministry of Science ICT and Future Planning"}],"funders":[{"id":"https://openalex.org/F4320322347","display_name":"Ministry of Science ICT and Future Planning","ror":"https://ror.org/032e49973"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1504337617","https://openalex.org/W1532764299","https://openalex.org/W1534649803","https://openalex.org/W1987869189","https://openalex.org/W1992455287","https://openalex.org/W2003034199","https://openalex.org/W2045929671","https://openalex.org/W2059975159","https://openalex.org/W2122675463","https://openalex.org/W2164634022","https://openalex.org/W3125522242","https://openalex.org/W6631904413"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"A":[0,29,109,152],"fingerprinting":[1,16],"algorithm":[2,148],"and":[3,20,99,149],"sequence":[4,118,150],"alignment":[5,31,68,119],"are":[6,162],"used":[7,34,121],"widely":[8],"to":[9,35,77,122,135,140,190],"calculate":[10],"the":[11,46,59,79,94,101,124,129,137,142,146,192,204,212],"similarity":[12,102,110,130,193,202],"of":[13,42,81,103,145],"documents.":[14],"The":[15,181],"method":[17,32,184,207],"is":[18,33,70,112,120,154],"simple":[19],"fast":[21],"but":[22,55],"it":[23,49,56,62],"cannot":[24],"find":[25,51],"specific":[26,52],"similar":[27,37,53,126,160,188],"regions.":[28],"string":[30],"identify":[36,123],"regions":[38,127,161,189],"by":[39,106],"arranging":[40],"sequences":[41],"strings.":[43],"This":[44],"has":[45,58],"advantage":[47],"that":[48,61,198],"can":[50],"regions,":[54],"also":[57,163],"disadvantage":[60],"requires":[63],"more":[64,168,209],"computational":[65],"time.":[66,220],"Multi-level":[67],"(MLA)":[69],"a":[71,177,200],"new":[72],"method,":[73,215],"which":[74],"was":[75,208],"designed":[76],"exploit":[78],"advantages":[80],"both":[82],"methods.":[83],"MLA":[84,132,214],"divides":[85],"input":[86],"documents":[87],"into":[88,156,165],"uniform":[89],"length":[90],"blocks,":[91],"before":[92],"extracting":[93],"fingerprint":[95,147],"from":[96],"each":[97],"block":[98,104,179,183,206],"calculating":[100],"pairs":[105],"comparing":[107],"fingerprints.":[108],"table":[111],"created":[113],"during":[114],"this":[115,172],"process.":[116],"Finally,":[117],"longest":[125],"in":[128,219],"table.":[131],"allows":[133],"users":[134],"change":[136],"block's":[138],"size":[139],"control":[141],"relative":[143],"proportion":[144],"alignment.":[151],"document":[153],"divided":[155],"several":[157],"block,":[158],"so":[159],"fragmented":[164,187],"two":[166],"or":[167],"blocks.":[169],"To":[170],"address":[171],"fragmentation":[173],"problem,":[174],"we":[175],"propose":[176],"united":[178,182,205],"method.":[180],"integrates":[185],"adjacent":[186],"increase":[191],"value.":[194],"Our":[195],"experiments":[196],"demonstrated":[197],"computing":[199],"document's":[201],"using":[203],"accurate":[210],"than":[211],"original":[213],"with":[216],"minor":[217],"reductions":[218]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
