{"id":"https://openalex.org/W2883287746","doi":"https://doi.org/10.1108/ijwis-10-2017-0070","title":"Effective keyword search on graph data using limited root redundancy of answer trees","display_name":"Effective keyword search on graph data using limited root redundancy of answer trees","publication_year":2018,"publication_date":"2018-07-23","ids":{"openalex":"https://openalex.org/W2883287746","doi":"https://doi.org/10.1108/ijwis-10-2017-0070","mag":"2883287746"},"language":"en","primary_location":{"id":"doi:10.1108/ijwis-10-2017-0070","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ijwis-10-2017-0070","pdf_url":null,"source":{"id":"https://openalex.org/S145159096","display_name":"International Journal of Web Information Systems","issn_l":"1744-0084","issn":["1744-0084","1744-0092"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Web Information Systems","raw_type":"journal-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/A5068718592","display_name":"Chang-Sup Park","orcid":null},"institutions":[{"id":"https://openalex.org/I110217816","display_name":"Dongduk Women's University","ror":"https://ror.org/039p7ck60","country_code":"KR","type":"education","lineage":["https://openalex.org/I110217816"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Chang-Sup Park","raw_affiliation_strings":["Department of Computer Science, Dongduk Women\u2019s University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Dongduk Women\u2019s University, Seoul, Korea","institution_ids":["https://openalex.org/I110217816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5068718592"],"corresponding_institution_ids":["https://openalex.org/I110217816"],"apc_list":null,"apc_paid":null,"fwci":0.3258,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66901676,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"14","issue":"3","first_page":"299","last_page":"316"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9993000030517578,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9993000030517578,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9984999895095825,"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/T11106","display_name":"Data Management and Algorithms","score":0.9973999857902527,"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":0.8009253740310669},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5598623752593994},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.503513514995575},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4827827513217926},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.470363587141037},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.4678804278373718},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.40140706300735474}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8009253740310669},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5598623752593994},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.503513514995575},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4827827513217926},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.470363587141037},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.4678804278373718},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.40140706300735474},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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:10.1108/ijwis-10-2017-0070","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ijwis-10-2017-0070","pdf_url":null,"source":{"id":"https://openalex.org/S145159096","display_name":"International Journal of Web Information Systems","issn_l":"1744-0084","issn":["1744-0084","1744-0092"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Web Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W55191700","https://openalex.org/W1592186521","https://openalex.org/W1981585544","https://openalex.org/W1990223473","https://openalex.org/W2019876129","https://openalex.org/W2042492403","https://openalex.org/W2067657700","https://openalex.org/W2075398406","https://openalex.org/W2096076988","https://openalex.org/W2116391761","https://openalex.org/W2121832290","https://openalex.org/W2135114001","https://openalex.org/W2162783807","https://openalex.org/W2162833734","https://openalex.org/W2164858177","https://openalex.org/W2169624745","https://openalex.org/W2171874178","https://openalex.org/W2263798363","https://openalex.org/W2507881787","https://openalex.org/W2666600683"],"related_works":["https://openalex.org/W1495042958","https://openalex.org/W2494338568","https://openalex.org/W2122678784","https://openalex.org/W2159024673","https://openalex.org/W2282510344","https://openalex.org/W139987158","https://openalex.org/W2183994405","https://openalex.org/W3001987467","https://openalex.org/W2968165261","https://openalex.org/W3023219121"],"abstract_inverted_index":{"Purpose":[0],"This":[1,237],"paper":[2,238],"aims":[3],"to":[4,14,45,66,87,112,172,224,251],"propose":[5],"a":[6,57,99,115,130,153,164,181,189,277,284],"new":[7],"keyword":[8,131],"search":[9,19],"method":[10,74],"on":[11,36,133,142,160,232,276],"graph":[12,134,148,201,281],"data":[13,282],"improve":[15,252],"the":[16,28,67,79,113,127,143,147,161,205,218,225,228,243,253,263,271],"relevance":[17,65,254],"of":[18,24,60,82,101,117,129,184,191,197,246,259],"results":[20,196,261],"and":[21,53,110,152,176,221,255,279],"reduce":[22],"duplication":[23],"content":[25,71,219,256],"nodes":[26,52,81,107,220,245,257],"in":[27,78,98,146,217,242],"answer":[29,47,61,85,102,118,178,192,247],"trees":[30,48,62,86,103,119,179,248],"obtained":[31],"by":[32],"previous":[33,41,229,264],"approaches":[34,42],"based":[35,159,231],"distinct":[37,233,265],"root":[38,51,80,106,122,185,234,244,266],"semantics.":[39,235,267],"The":[40,73,195],"are":[43,214],"restricted":[44],"find":[46,173],"having":[49],"different":[50],"thus":[54],"often":[55],"generate":[56],"result":[58,128],"consisting":[59],"with":[63,120],"low":[64],"query":[68,91,132,138,167,211,226,260],"or":[69],"duplicate":[70],"nodes.":[72],"allows":[75],"limited":[76,121],"redundancy":[77,97,123,186,241,258],"top-":[83,165],"k":[84,166],"produce":[88,209],"more":[89,215,222],"effective":[90,210],"results.":[92],"Design/methodology/approach":[93],"A":[94],"measure":[95],"for":[96,126,188],"set":[100,116,190],"regarding":[104],"their":[105],"is":[108,124,156,170],"defined,":[109],"according":[111],"metric,":[114],"proposed":[125,206],"data.":[135],"For":[136],"efficient":[137],"processing,":[139],"an":[140],"index":[141],"useful":[144],"paths":[145],"using":[149,199,283],"inverted":[150],"lists":[151],"hash":[154],"map":[155],"suggested.":[157],"Then,":[158],"path":[162],"index,":[163],"processing":[168],"algorithm":[169],"presented":[171],"most":[174],"relevant":[175,223],"diverse":[177,216],"given":[180],"maximum":[182],"amount":[183],"allowed":[187],"trees.":[193],"Findings":[194],"experiments":[198],"real":[200],"datasets":[202],"show":[203],"that":[204],"approach":[207,230],"can":[208,269],"answers":[212],"which":[213],"than":[227],"Originality/value":[236],"first":[239],"takes":[240],"into":[249],"account":[250],"over":[262],"It":[268],"satisfy":[270],"users\u2019":[272],"various":[273],"information":[274],"need":[275],"large":[278],"complex":[280],"keyword-based":[285],"query.":[286]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}