{"id":"https://openalex.org/W2028574734","doi":"https://doi.org/10.1145/1014052.1014078","title":"A graph-theoretic approach to extract storylines from search results","display_name":"A graph-theoretic approach to extract storylines from search results","publication_year":2004,"publication_date":"2004-08-22","ids":{"openalex":"https://openalex.org/W2028574734","doi":"https://doi.org/10.1145/1014052.1014078","mag":"2028574734"},"language":"en","primary_location":{"id":"doi:10.1145/1014052.1014078","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1014052.1014078","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining","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/A5107809381","display_name":"Ravi Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ravi Kumar","raw_affiliation_strings":["IBM Almaden Res. Center, San Jose, CA","IBM Almaden Research Center San Jose , CA"],"affiliations":[{"raw_affiliation_string":"IBM Almaden Res. Center, San Jose, CA","institution_ids":["https://openalex.org/I4210085935"]},{"raw_affiliation_string":"IBM Almaden Research Center San Jose , CA","institution_ids":["https://openalex.org/I4210085935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061907821","display_name":"Uma Mahadevan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Uma Mahadevan","raw_affiliation_strings":["Verity Inc., Sunnyvale, CA"],"affiliations":[{"raw_affiliation_string":"Verity Inc., Sunnyvale, CA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034629063","display_name":"D. Sivakumar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. Sivakumar","raw_affiliation_strings":["IBM Almaden Res. Center, San Jose, CA","IBM Almaden Research Center San Jose , CA"],"affiliations":[{"raw_affiliation_string":"IBM Almaden Res. Center, San Jose, CA","institution_ids":["https://openalex.org/I4210085935"]},{"raw_affiliation_string":"IBM Almaden Research Center San Jose , CA","institution_ids":["https://openalex.org/I4210085935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5107809381"],"corresponding_institution_ids":["https://openalex.org/I4210085935"],"apc_list":null,"apc_paid":null,"fwci":12.1174,"has_fulltext":false,"cited_by_count":55,"citation_normalized_percentile":{"value":0.98002462,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"216","last_page":"225"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9990000128746033,"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":0.9990000128746033,"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/T11106","display_name":"Data Management and Algorithms","score":0.9958000183105469,"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"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9954000115394592,"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":0.7051834464073181},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.7051079273223877},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5989253520965576},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5609308481216431},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.46799132227897644},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4650062024593353},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4325825273990631},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21985739469528198}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7051834464073181},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.7051079273223877},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5989253520965576},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5609308481216431},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.46799132227897644},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4650062024593353},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4325825273990631},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21985739469528198},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1014052.1014078","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1014052.1014078","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W89608058","https://openalex.org/W144683697","https://openalex.org/W1521439890","https://openalex.org/W1996764654","https://openalex.org/W2066636486","https://openalex.org/W2068155033","https://openalex.org/W2079672501","https://openalex.org/W2121996546","https://openalex.org/W2130891992","https://openalex.org/W2138621811","https://openalex.org/W2147152072","https://openalex.org/W2151626491","https://openalex.org/W2434205482","https://openalex.org/W2979454998","https://openalex.org/W4240407914","https://openalex.org/W4241122026","https://openalex.org/W6631328736","https://openalex.org/W6637108112"],"related_works":["https://openalex.org/W2567825307","https://openalex.org/W1592682627","https://openalex.org/W4295762832","https://openalex.org/W2945016732","https://openalex.org/W2785998768","https://openalex.org/W2371352078","https://openalex.org/W2362975861","https://openalex.org/W2054458431","https://openalex.org/W2804963084","https://openalex.org/W3088754131"],"abstract_inverted_index":{"We":[0,82],"present":[1,83],"a":[2,27,74,84,107],"graph-theoretic":[3],"approach":[4],"to":[5,68],"discover":[6],"storylines":[7,101],"from":[8],"search":[9,24,80,121],"results.":[10,81,122],"Storylines":[11],"are":[12,30],"windows":[13],"that":[14,97],"offer":[15],"glimpses":[16],"into":[17],"interesting":[18],"themes":[19],"latent":[20],"among":[21],"the":[22,54,79,98,111,117],"top":[23],"results":[25],"for":[26,70,88],"query;":[28],"they":[29],"different":[31],"from,":[32],"and":[33,46],"complementary":[34],"to,":[35],"clusters":[36],"obtained":[37],"through":[38,103],"traditional":[39],"approaches.":[40],"Our":[41],"framework":[42],"is":[43,67],"axiomatically":[44],"developed":[45],"combinatorial":[47],"in":[48,73],"nature,":[49],"based":[50,91],"on":[51,59,92],"generalizations":[52],"of":[53,78,100,110,113,120],"maximum":[55],"induced":[56],"matching":[57],"problem":[58],"bipartite":[60],"graphs.":[61],"The":[62],"core":[63],"algorithmic":[64],"task":[65,90],"involved":[66],"mine":[69],"signature":[71],"structures":[72],"robust":[75],"graph":[76],"representation":[77],"very":[85],"fast":[86],"algorithm":[87,105],"this":[89],"local":[93],"search.":[94],"Experiments":[95],"show":[96],"collection":[99],"extracted":[102],"our":[104],"offers":[106],"concise":[108],"organization":[109],"wealth":[112],"information":[114],"hidden":[115],"beyond":[116],"first":[118],"page":[119]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}