{"id":"https://openalex.org/W2080014282","doi":"https://doi.org/10.1145/2381716.2381848","title":"SEReleC# - C# implementation of SEReleC","display_name":"SEReleC# - C# implementation of SEReleC","publication_year":2012,"publication_date":"2012-09-03","ids":{"openalex":"https://openalex.org/W2080014282","doi":"https://doi.org/10.1145/2381716.2381848","mag":"2080014282"},"language":"en","primary_location":{"id":"doi:10.1145/2381716.2381848","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2381716.2381848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the CUBE International Information Technology Conference","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/A5056874615","display_name":"Vishwas Raval","orcid":"https://orcid.org/0000-0003-4889-1466"},"institutions":[{"id":"https://openalex.org/I4210094966","display_name":"Marwadi Education Foundation","ror":"https://ror.org/00my7df95","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210094966"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Vishwas Raval","raw_affiliation_strings":["IT, MEFGI, Rajkot"],"affiliations":[{"raw_affiliation_string":"IT, MEFGI, Rajkot","institution_ids":["https://openalex.org/I4210094966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103578096","display_name":"Padam Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Padam Kumar","raw_affiliation_strings":["E&CE, IIT Roorkee","E&CE, IIT Roorkee#TAB#"],"affiliations":[{"raw_affiliation_string":"E&CE, IIT Roorkee","institution_ids":["https://openalex.org/I154851008"]},{"raw_affiliation_string":"E&CE, IIT Roorkee#TAB#","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076568664","display_name":"Y.P. Kosta","orcid":"https://orcid.org/0000-0001-5120-2225"},"institutions":[{"id":"https://openalex.org/I4210094966","display_name":"Marwadi Education Foundation","ror":"https://ror.org/00my7df95","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210094966"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Yogesh Kosta","raw_affiliation_strings":["MEFGI, Rajkot"],"affiliations":[{"raw_affiliation_string":"MEFGI, Rajkot","institution_ids":["https://openalex.org/I4210094966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5056874615"],"corresponding_institution_ids":["https://openalex.org/I4210094966"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17609935,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"688","last_page":"693"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9991000294685364,"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":0.9991000294685364,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.995199978351593,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9907000064849854,"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":0.7989177703857422},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.7589751482009888},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.7545194625854492},{"id":"https://openalex.org/keywords/phrase-search","display_name":"Phrase search","score":0.7073742747306824},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6557040214538574},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6494632959365845},{"id":"https://openalex.org/keywords/metasearch-engine","display_name":"Metasearch engine","score":0.5839762687683105},{"id":"https://openalex.org/keywords/search-analytics","display_name":"Search analytics","score":0.5216691493988037},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.5086022615432739},{"id":"https://openalex.org/keywords/semantic-search","display_name":"Semantic search","score":0.5052443146705627},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.4871220588684082},{"id":"https://openalex.org/keywords/web-search-engine","display_name":"Web search engine","score":0.45673584938049316},{"id":"https://openalex.org/keywords/organic-search","display_name":"Organic search","score":0.4527849853038788},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4496239125728607},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.43096455931663513},{"id":"https://openalex.org/keywords/spamdexing","display_name":"Spamdexing","score":0.4197448194026947},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14254331588745117}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7989177703857422},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7589751482009888},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.7545194625854492},{"id":"https://openalex.org/C37202355","wikidata":"https://www.wikidata.org/wiki/Q7188071","display_name":"Phrase search","level":5,"score":0.7073742747306824},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6557040214538574},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6494632959365845},{"id":"https://openalex.org/C173979980","wikidata":"https://www.wikidata.org/wiki/Q114106","display_name":"Metasearch engine","level":4,"score":0.5839762687683105},{"id":"https://openalex.org/C14838553","wikidata":"https://www.wikidata.org/wiki/Q7441639","display_name":"Search analytics","level":4,"score":0.5216691493988037},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.5086022615432739},{"id":"https://openalex.org/C166423231","wikidata":"https://www.wikidata.org/wiki/Q1891170","display_name":"Semantic search","level":3,"score":0.5052443146705627},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.4871220588684082},{"id":"https://openalex.org/C521815418","wikidata":"https://www.wikidata.org/wiki/Q4182287","display_name":"Web search engine","level":4,"score":0.45673584938049316},{"id":"https://openalex.org/C130500901","wikidata":"https://www.wikidata.org/wiki/Q148461","display_name":"Organic search","level":5,"score":0.4527849853038788},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4496239125728607},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.43096455931663513},{"id":"https://openalex.org/C13565553","wikidata":"https://www.wikidata.org/wiki/Q804206","display_name":"Spamdexing","level":5,"score":0.4197448194026947},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14254331588745117},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2381716.2381848","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2381716.2381848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the CUBE International Information Technology Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W37376664","https://openalex.org/W1794998906","https://openalex.org/W1853786402","https://openalex.org/W1986475174","https://openalex.org/W2066636486","https://openalex.org/W2074542483","https://openalex.org/W2078840252","https://openalex.org/W2121715962","https://openalex.org/W2126643817","https://openalex.org/W2127893105","https://openalex.org/W2134929670","https://openalex.org/W2150082771","https://openalex.org/W2155907084","https://openalex.org/W2181540916","https://openalex.org/W2546029395"],"related_works":["https://openalex.org/W4393094218","https://openalex.org/W2606161989","https://openalex.org/W2222022498","https://openalex.org/W2223855511","https://openalex.org/W4206776910","https://openalex.org/W2964491004","https://openalex.org/W2368178314","https://openalex.org/W269631539","https://openalex.org/W2106235201","https://openalex.org/W2133838739"],"abstract_inverted_index":{"The":[0,63,340],"World":[1],"Wide":[2],"Web":[3,26],"(WWW)":[4],"has":[5,203,295],"immense":[6],"resources":[7],"for":[8,13,65,226,290,345],"all":[9],"kind":[10],"of":[11,75,117,135,137,139,181,249,258,328,334],"people":[12],"their":[14,161],"specific":[15,89],"needs.":[16],"Using":[17],"search":[18,41,76,87,101,124,130,193,228,251,260,271],"engines":[19,42,131,263],"(e.g.":[20],"Google,":[21,302],"Bing,":[22,303],"Yahoo!)":[23],"to":[24,69,110,146,309],"locate":[25],"information":[27],"is":[28,68,81,174,322,332,342],"probably":[29],"the":[30,39,66,86,100,112,118,120,123,126,147,151,178,185,192,199,219,239,250,283,287,326,335,346],"most":[31,141,336],"common":[32],"application":[33],"we":[34],"use":[35],"every":[36],"day.":[37],"However,":[38],"existing":[40,259],"suffer":[43],"from":[44],"certain":[45],"drawbacks.":[46],"First,":[47],"searches":[48],"are":[49,132,158,170,187],"carried":[50],"out":[51],"by":[52,129,231,264],"entering":[53],"one":[54,333],"or":[55,59,78],"more":[56],"relevant":[57],"keywords":[58,77,194],"a":[60,73,207,247,317],"short":[61],"sentence.":[62],"challenge":[64],"user":[67,121,153],"come":[70],"up":[71],"with":[72],"set":[74],"sentence":[79],"which":[80,140,156,164,195,217,331],"neither":[82],"too":[83,88,97,102],"large":[84],"(making":[85,99],"and":[90,104,163,205,215,234,237,255,261,277,307],"resulting":[91,105],"in":[92,106,133,298,316,325,343],"many":[93,107],"false":[94,108],"negatives)":[95],"nor":[96],"small":[98],"general":[103],"positives)":[109],"get":[111],"desired":[113],"result.":[114],"Second,":[115],"irrespective":[116],"way":[119],"specifies":[122],"query,":[125],"results":[127,167,186,230,241,285],"returned":[128,182],"terms":[134],"millions":[136],"pages":[138,157],"might":[142],"not":[143,188],"be":[144],"useful":[145],"user.":[148,200],"In":[149],"fact,":[150],"end":[152],"never":[154],"knows":[155],"exactly":[159],"matching":[160],"query":[162],"contain":[165],"irrelevant":[166,235],"unless":[168],"they":[169],"checked":[171],"individually":[172],"(which":[173],"actually":[175],"impossible":[176],"given":[177],"huge":[179],"volume":[180],"results).":[183],"Finally,":[184],"classified":[189,284],"based":[190,245,273],"on":[191,246],"will":[196],"surely":[197],"benefit":[198],"This":[201,320],"research":[202,321],"proposed":[204],"developed":[206],"meta-search":[208,262],"engine,":[209],"SEReleC":[210,253,312],"(Search":[211],"Engine":[212],"Result":[213],"Refinement":[214],"Classification),":[216],"addresses":[218,254],"above":[220],"challenges.":[221],"It":[222],"provides":[223],"an":[224],"interface":[225],"refining":[227],"engines'":[229],"eliminating":[232],"redundant":[233],"ones":[236],"classifying":[238],"remaining":[240],"into":[242,286],"separate":[243],"categories":[244],"combination":[248],"keywords.":[252],"removes":[256],"limitations":[257],"using":[265],"following":[266],"two":[267],"innovative":[268],"techniques":[269],"-":[270],"keyword":[272],"Combinatorial":[274],"Exact":[275],"Search":[276],"Link":[278],"Classification.":[279],"Users":[280],"can":[281],"save":[282],"local":[288],"computer":[289],"future":[291],"references.":[292],"Extensive":[293],"experimentation":[294],"been":[296],"done":[297],"live":[299],"environments":[300],"(using":[301],"Yahoo!,":[304],"DuckDuckGo,":[305],"Dogpile":[306],"Yippy),":[308],"show":[310],"that":[311],"achieves":[313],"its":[314],"objectives":[315],"time-efficient":[318],"manner.":[319],"still":[323],"incomplete":[324],"form":[327],"image":[329],"retrieval":[330],"challenging":[337],"issues":[338],"currently.":[339],"work":[341],"progress":[344],"same.":[347]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}