{"id":"https://openalex.org/W2027633823","doi":"https://doi.org/10.1142/s0218213012500248","title":"BAYESIAN RETRIEVAL USING A SIMILARITY-BASED LEMMATIZER","display_name":"BAYESIAN RETRIEVAL USING A SIMILARITY-BASED LEMMATIZER","publication_year":2012,"publication_date":"2012-05-03","ids":{"openalex":"https://openalex.org/W2027633823","doi":"https://doi.org/10.1142/s0218213012500248","mag":"2027633823"},"language":"en","primary_location":{"id":"doi:10.1142/s0218213012500248","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213012500248","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","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/A5012359011","display_name":"Manolis \u039caragoudakis","orcid":"https://orcid.org/0000-0001-7701-0141"},"institutions":[{"id":"https://openalex.org/I98805295","display_name":"University of the Aegean","ror":"https://ror.org/03zsp3p94","country_code":"GR","type":"education","lineage":["https://openalex.org/I98805295"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"MANOLIS MARAGOUDAKIS","raw_affiliation_strings":["Department of Information and Communication Systems Engineering, University of the Aegean, Samos, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Systems Engineering, University of the Aegean, Samos, Greece","institution_ids":["https://openalex.org/I98805295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062262896","display_name":"Dimitrios P. Lyras","orcid":"https://orcid.org/0000-0003-4943-8778"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"DIMITRIOS P. LYRAS","raw_affiliation_strings":["Electrical and Computer Engineering Department, Wire Communications Lab, Artificial Intelligence Group, University of Patras, Rion, Patras, GR-26500, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Wire Communications Lab, Artificial Intelligence Group, University of Patras, Rion, Patras, GR-26500, Greece","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012058127","display_name":"Kyriakos Sgarbas","orcid":"https://orcid.org/0000-0002-1797-1343"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"KYRIAKOS SGARBAS","raw_affiliation_strings":["Electrical and Computer Engineering Department, Wire Communications Lab, Artificial Intelligence Group, University of Patras, Rion, Patras, GR-26500, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Wire Communications Lab, Artificial Intelligence Group, University of Patras, Rion, Patras, GR-26500, Greece","institution_ids":["https://openalex.org/I174878644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.0977445,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"21","issue":"05","first_page":"1250024","last_page":"1250024"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9975000023841858,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9975000023841858,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.995199978351593,"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":0.919343113899231},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5883231163024902},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.4770694971084595},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.46396103501319885},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.45768630504608154},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.45624154806137085},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4478677809238434},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.44190821051597595},{"id":"https://openalex.org/keywords/vector-space-model","display_name":"Vector space model","score":0.43865934014320374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4167623519897461},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3750939965248108}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.919343113899231},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5883231163024902},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.4770694971084595},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.46396103501319885},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.45768630504608154},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.45624154806137085},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4478677809238434},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.44190821051597595},{"id":"https://openalex.org/C89686163","wikidata":"https://www.wikidata.org/wiki/Q1187982","display_name":"Vector space model","level":2,"score":0.43865934014320374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4167623519897461},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3750939965248108},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218213012500248","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213012500248","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1483313504","https://openalex.org/W1532008752","https://openalex.org/W1574901103","https://openalex.org/W1660390307","https://openalex.org/W1980452149","https://openalex.org/W1987869189","https://openalex.org/W1994559819","https://openalex.org/W2008906462","https://openalex.org/W2016004628","https://openalex.org/W2018329146","https://openalex.org/W2043621597","https://openalex.org/W2047980156","https://openalex.org/W2051141936","https://openalex.org/W2078875869","https://openalex.org/W2121790392","https://openalex.org/W2153252192","https://openalex.org/W2159080219","https://openalex.org/W2325227998","https://openalex.org/W4238430687","https://openalex.org/W4247619421","https://openalex.org/W4252076394","https://openalex.org/W4252417799","https://openalex.org/W4255639968","https://openalex.org/W4300111185","https://openalex.org/W4301856958"],"related_works":["https://openalex.org/W2150425776","https://openalex.org/W2055243143","https://openalex.org/W2386166348","https://openalex.org/W2378013939","https://openalex.org/W2348461053","https://openalex.org/W2387801216","https://openalex.org/W1665725731","https://openalex.org/W2341206205","https://openalex.org/W2375357009","https://openalex.org/W1489749050"],"abstract_inverted_index":{"The":[0,15,235],"present":[1],"paper":[2],"describes":[3],"a":[4,63,144,214,308,341],"Bayesian":[5,117],"network":[6,16,118],"approach":[7],"to":[8,39,45,72,103,141,164,202,262,282,332,345],"Information":[9],"Retrieval":[10],"(IR)":[11],"from":[12,78],"Web":[13],"documents.":[14],"structure":[17,149],"provides":[18],"an":[19,37,101,154,279],"intuitive":[20],"representation":[21],"of":[22,53,76,96,178,193,197,207,227,230,240,278,317,329,343],"uncertainty":[23],"relationships":[24],"and":[25,121,153,189,251,255,268,300],"the":[26,46,51,79,94,97,115,142,148,166,184,190,205,208,221,225,231,245,248,252,276,296,301,312,318,327],"embedded":[27],"conditional":[28],"probability":[29],"table":[30],"is":[31,150,160,256],"used":[32,161],"by":[33,224,286,340],"inference":[34],"algorithms":[35],"in":[36,50,61,100,162,195,233],"attempt":[38,102],"identify":[40],"documents":[41,77,99],"that":[42,67],"are":[43],"relevant":[44],"user's":[47],"needs,":[48],"expressed":[49],"form":[52,285],"Boolean":[54],"queries.":[55],"Our":[56],"research":[57],"has":[58],"been":[59],"directed":[60],"constructing":[62],"probabilistic":[64,191],"IR":[65,119,176,209],"framework":[66,238],"focus":[68],"on":[69,106,124,129,326],"assisting":[70],"users":[71,89],"perform":[73],"Ad-hoc":[74,271],"retrieval":[75,336],"various":[80],"domains":[81],"such":[82,182],"as":[83,183,337],"economics,":[84],"news,":[85],"sports,":[86],"etc.":[87],"Furthermore,":[88],"can":[90,259],"integrate":[91],"feedback":[92],"regarding":[93],"relevance":[95],"retrieved":[98],"improve":[104,204,270,339],"performance":[105,173,206],"upcoming":[107],"requests.":[108],"Towards":[109],"these":[110],"goals,":[111],"we":[112,211],"have":[113,134,170,212],"expanded":[114],"traditional":[116],"system":[120],"tested":[122],"it":[123,274],"several":[125],"Greek":[126,333],"web":[127,335],"corpora":[128],"different":[130,137,179],"application":[131],"domains.":[132],"We":[133],"developed":[135],"two":[136,288],"approaches":[138],"with":[139,265,307],"regards":[140],"structure:":[143],"simple":[145],"one,":[146,156],"where":[147,157],"manually":[151],"provided,":[152],"automated":[155],"data":[158,249],"mining":[159],"order":[163,201],"extract":[165],"network's":[167],"structure.":[168],"Results":[169],"depicted":[171],"competitive":[172],"against":[174],"successful":[175],"models":[177],"theoretical":[180],"backgrounds,":[181],"vector":[185],"space":[186],"utilizing":[187],"tf-idf":[188],"model":[192,310],"BM25":[194],"terms":[196],"precision-recall":[198],"curves.":[199],"In":[200],"further":[203],"system,":[210],"implemented":[213],"novel":[215],"similarity-based":[216],"lemmatization":[217,237,253],"framework,":[218],"reducing":[219],"thus":[220,269],"ambiguity":[222],"posed":[223],"plethora":[226],"morphological":[228,266],"variations":[229],"languages":[232,264],"question.":[234],"employed":[236],"comprises":[239],"3":[241],"core":[242],"components":[243],"(i.e.":[244,258],"word":[246,281],"segregation,":[247],"cleansing":[250],"modules)":[254],"language-independent":[257],"be":[260],"applied":[261],"other":[263],"peculiarities":[267],"retrieval)":[272],"since":[273],"achieves":[275],"mapping":[277],"input":[280],"its":[283],"normalized":[284],"employing":[287],"state-of-the-art":[289],"language":[290,309],"independent":[291],"distance":[292,299],"metric":[293],"models,":[294],"meaning":[295],"Levenshtein":[297],"Edit":[298],"Dice":[302],"coefficient":[303],"similarity":[304],"measure,":[305],"combined":[306],"describing":[311],"most":[313],"frequent":[314],"inflectional":[315],"suffixes":[316],"examined":[319],"language.":[320],"Experimental":[321],"results":[322,338],"support":[323],"our":[324],"claim":[325],"significance":[328],"this":[330],"incorporation":[331],"texts":[334],"factor":[342],"4%":[344],"11%.":[346]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
