{"id":"https://openalex.org/W2050687151","doi":"https://doi.org/10.1108/14684520910985701","title":"The identification of distinguishing term characteristics from relevance feedback","display_name":"The identification of distinguishing term characteristics from relevance feedback","publication_year":2009,"publication_date":"2009-08-07","ids":{"openalex":"https://openalex.org/W2050687151","doi":"https://doi.org/10.1108/14684520910985701","mag":"2050687151"},"language":"en","primary_location":{"id":"doi:10.1108/14684520910985701","is_oa":false,"landing_page_url":"https://doi.org/10.1108/14684520910985701","pdf_url":null,"source":{"id":"https://openalex.org/S931548824","display_name":"Online Information Review","issn_l":"1468-4527","issn":["1468-4527","1468-4535"],"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":"Online Information Review","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/A5108188771","display_name":"Shihchieh Chou","orcid":null},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Shihchieh Chou","raw_affiliation_strings":["Department of Information Management, National Central University, Chung\u2010Li, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Information Management, National Central University, Chung\u2010Li, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037253369","display_name":"Weiping Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I143545923","display_name":"Central Police University","ror":"https://ror.org/03xms6995","country_code":"TW","type":"education","lineage":["https://openalex.org/I143545923"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Weiping Chang","raw_affiliation_strings":["National Central Police University, Kueishang, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Central Police University, Kueishang, Taiwan","institution_ids":["https://openalex.org/I143545923"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5108188771"],"corresponding_institution_ids":["https://openalex.org/I22265921"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.09352275,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"33","issue":"4","first_page":"745","last_page":"760"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","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"}},"topics":[{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9962999820709229,"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/term","display_name":"Term (time)","score":0.8221585750579834},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8146271109580994},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.7543674111366272},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.7287535667419434},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6990151405334473},{"id":"https://openalex.org/keywords/originality","display_name":"Originality","score":0.5805041790008545},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43152570724487305},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.4108237028121948},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3847529888153076},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24931800365447998},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.11128175258636475}],"concepts":[{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.8221585750579834},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8146271109580994},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.7543674111366272},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7287535667419434},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6990151405334473},{"id":"https://openalex.org/C2776950860","wikidata":"https://www.wikidata.org/wiki/Q2914681","display_name":"Originality","level":3,"score":0.5805041790008545},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43152570724487305},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.4108237028121948},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3847529888153076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24931800365447998},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.11128175258636475},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C11012388","wikidata":"https://www.wikidata.org/wiki/Q170658","display_name":"Creativity","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/14684520910985701","is_oa":false,"landing_page_url":"https://doi.org/10.1108/14684520910985701","pdf_url":null,"source":{"id":"https://openalex.org/S931548824","display_name":"Online Information Review","issn_l":"1468-4527","issn":["1468-4527","1468-4535"],"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":"Online Information Review","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":25,"referenced_works":["https://openalex.org/W45634738","https://openalex.org/W180959710","https://openalex.org/W288394872","https://openalex.org/W1517932739","https://openalex.org/W1552369012","https://openalex.org/W1593512914","https://openalex.org/W1950628099","https://openalex.org/W1977411733","https://openalex.org/W1978394996","https://openalex.org/W1994199095","https://openalex.org/W1998207980","https://openalex.org/W2024530920","https://openalex.org/W2026635729","https://openalex.org/W2036099183","https://openalex.org/W2069564398","https://openalex.org/W2077840532","https://openalex.org/W2085419413","https://openalex.org/W2090761718","https://openalex.org/W2127551029","https://openalex.org/W2133188729","https://openalex.org/W2149257407","https://openalex.org/W2154873880","https://openalex.org/W2166347079","https://openalex.org/W2513020503","https://openalex.org/W6610261990"],"related_works":["https://openalex.org/W1971071004","https://openalex.org/W2009716188","https://openalex.org/W1518380457","https://openalex.org/W2001985945","https://openalex.org/W1973132420","https://openalex.org/W1921936017","https://openalex.org/W2078482661","https://openalex.org/W1968222678","https://openalex.org/W2460037195","https://openalex.org/W2134013435"],"abstract_inverted_index":{"Purpose":[0],"The":[1,113],"purpose":[2],"of":[3,16,41,66,91,103,115,134,144,159],"this":[4,126],"paper":[5],"is":[6,74,81],"to":[7,48,57,83,98,166],"identify":[8],"distinguishing":[9,40,65,101,133,145],"term":[10,17,61,106,122,146],"characteristics":[11,34,62,107,123,147],"from":[12,169],"among":[13],"the":[14,25,39,59,64,70,85,89,92,100,104,110,116,120,132,138,150,153,157],"information":[15,51,71,78,139,168],"appearance":[18],"situations":[19],"(":[20],"tas":[21],")":[22],"residing":[23],"in":[24,38,50,63,69,109,125,131,137,156],"relevant/irrelevant":[26],"documents":[27],"retrieved":[28],"for":[29,152],"use.":[30],"Terms":[31],"with":[32],"specific":[33],"could":[35],"be":[36],"used":[37],"user":[42,67,135],"profiles,":[43],"documents,":[44],"pages":[45],"or":[46,162,171],"concepts":[47],"assist":[49],"retrieval.":[52],"Design/methodology/approach":[53],"First,":[54],"a":[55],"method":[56],"apply":[58],"potential":[60,105,121],"profiles":[68,136],"retrieval":[72,79,140],"environment":[73],"designed.":[75],"Then,":[76],"an":[77],"system":[80],"developed":[82],"demonstrate":[84],"realisation":[86],"and":[87],"sustain":[88],"study":[90,127],"method.":[93,111],"Formal":[94],"tests":[95,117],"are":[96,128],"conducted":[97],"examine":[99],"capability":[102],"proposed":[108,124],"Findings":[112],"results":[114],"show":[118],"that":[119,164],"successfully":[129],"applied":[130],"environment.":[141],"Originality/value":[142],"Identification":[143],"would":[148],"expand":[149],"ground":[151],"IR":[154],"community":[155],"design":[158],"feature\u2010extraction":[160],"algorithms":[161],"systems":[163],"try":[165],"cull":[167],"structured":[170],"unstructured":[172],"documents.":[173]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
