{"id":"https://openalex.org/W2165261022","doi":"https://doi.org/10.1002/(sici)1097-4571(199702)48:2<143::aid-asi5>3.0.co;2-y","title":"Comparing Boolean and probabilistic information retrieval systems across queries and disciplines","display_name":"Comparing Boolean and probabilistic information retrieval systems across queries and disciplines","publication_year":1997,"publication_date":"1997-02-01","ids":{"openalex":"https://openalex.org/W2165261022","doi":"https://doi.org/10.1002/(sici)1097-4571(199702)48:2<143::aid-asi5>3.0.co;2-y","mag":"2165261022"},"language":"en","primary_location":{"id":"doi:10.1002/(sici)1097-4571(199702)48:2<143::aid-asi5>3.0.co;2-y","is_oa":false,"landing_page_url":"https://doi.org/10.1002/(sici)1097-4571(199702)48:2<143::aid-asi5>3.0.co;2-y","pdf_url":null,"source":{"id":"https://openalex.org/S4210220780","display_name":"Journal of the American Society for Information Science","issn_l":"0002-8231","issn":["0002-8231","1097-4571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Society for Information Science","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/A5082215823","display_name":"Robert M. Losee","orcid":null},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Robert M. Losee","raw_affiliation_strings":["University of North Carolina, Manning Hall, CB# 3360, Chapel Hill, NC 27599-3360"],"affiliations":[{"raw_affiliation_string":"University of North Carolina, Manning Hall, CB# 3360, Chapel Hill, NC 27599-3360","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5082215823"],"corresponding_institution_ids":["https://openalex.org/I114027177"],"apc_list":null,"apc_paid":null,"fwci":1.929,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.90358856,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"48","issue":"2","first_page":"143","last_page":"156"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9980999827384949,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9980999827384949,"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":0.9945999979972839,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9905999898910522,"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/standard-boolean-model","display_name":"Standard Boolean model","score":0.733971893787384},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6743406057357788},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6429640054702759},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5948946475982666},{"id":"https://openalex.org/keywords/divergence-from-randomness-model","display_name":"Divergence-from-randomness model","score":0.5498811602592468},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.38893234729766846},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3546469509601593},{"id":"https://openalex.org/keywords/and-inverter-graph","display_name":"And-inverter graph","score":0.2554042339324951},{"id":"https://openalex.org/keywords/boolean-expression","display_name":"Boolean expression","score":0.22484368085861206},{"id":"https://openalex.org/keywords/boolean-function","display_name":"Boolean function","score":0.1843072772026062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15460172295570374},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13106432557106018}],"concepts":[{"id":"https://openalex.org/C68481662","wikidata":"https://www.wikidata.org/wiki/Q176197","display_name":"Standard Boolean model","level":5,"score":0.733971893787384},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6743406057357788},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6429640054702759},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5948946475982666},{"id":"https://openalex.org/C149189445","wikidata":"https://www.wikidata.org/wiki/Q5283894","display_name":"Divergence-from-randomness model","level":3,"score":0.5498811602592468},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38893234729766846},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3546469509601593},{"id":"https://openalex.org/C196836630","wikidata":"https://www.wikidata.org/wiki/Q4753279","display_name":"And-inverter graph","level":4,"score":0.2554042339324951},{"id":"https://openalex.org/C158465420","wikidata":"https://www.wikidata.org/wiki/Q1979515","display_name":"Boolean expression","level":3,"score":0.22484368085861206},{"id":"https://openalex.org/C187455244","wikidata":"https://www.wikidata.org/wiki/Q942353","display_name":"Boolean function","level":2,"score":0.1843072772026062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15460172295570374},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13106432557106018}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1002/(sici)1097-4571(199702)48:2<143::aid-asi5>3.0.co;2-y","is_oa":false,"landing_page_url":"https://doi.org/10.1002/(sici)1097-4571(199702)48:2<143::aid-asi5>3.0.co;2-y","pdf_url":null,"source":{"id":"https://openalex.org/S4210220780","display_name":"Journal of the American Society for Information Science","issn_l":"0002-8231","issn":["0002-8231","1097-4571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Society for Information Science","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.41.8055","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.41.8055","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ils.unc.edu/~losee/anal3.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W8585229","https://openalex.org/W13870140","https://openalex.org/W1555286071","https://openalex.org/W1559970861","https://openalex.org/W1594686802","https://openalex.org/W1964633765","https://openalex.org/W1968948414","https://openalex.org/W1973736930","https://openalex.org/W1982975012","https://openalex.org/W1990200782","https://openalex.org/W1997704656","https://openalex.org/W2001664274","https://openalex.org/W2006587770","https://openalex.org/W2012893546","https://openalex.org/W2017030189","https://openalex.org/W2020237802","https://openalex.org/W2022512635","https://openalex.org/W2034400498","https://openalex.org/W2039495682","https://openalex.org/W2039735811","https://openalex.org/W2039798050","https://openalex.org/W2041679308","https://openalex.org/W2042877981","https://openalex.org/W2043909051","https://openalex.org/W2048045485","https://openalex.org/W2053470869","https://openalex.org/W2073048290","https://openalex.org/W2073201493","https://openalex.org/W2078867968","https://openalex.org/W2083902167","https://openalex.org/W2092682660","https://openalex.org/W2093583221","https://openalex.org/W2098162425","https://openalex.org/W2140935427","https://openalex.org/W2142024113","https://openalex.org/W2145802548","https://openalex.org/W2152096275","https://openalex.org/W2163166770","https://openalex.org/W2171621982","https://openalex.org/W3022257453"],"related_works":["https://openalex.org/W1525335456","https://openalex.org/W1982975012","https://openalex.org/W1985214901","https://openalex.org/W2533807999","https://openalex.org/W2073048290","https://openalex.org/W2041706320","https://openalex.org/W2099772619","https://openalex.org/W1535566948","https://openalex.org/W1518865745","https://openalex.org/W2079379504"],"abstract_inverted_index":{"Whether":[0],"using":[1,7,63,98],"Boolean":[2,100],"queries":[3,97,128],"or":[4,66,113],"ranking":[5],"documents":[6],"document":[8,26],"and":[9,30,47,83,101,127,139],"term":[10,111,114],"weights":[11],"will":[12],"result":[13],"in":[14,123],"better":[15],"retrieval":[16,27,46,56,77],"performance":[17,53,88,92,119,132],"has":[18],"been":[19],"the":[20,42,68,76,99],"subject":[21],"of":[22,54,70,118,133],"considerable":[23],"discussion":[24],"among":[25],"system":[28],"users":[29],"researchers.":[31],"We":[32],"suggest":[33],"a":[34],"method":[35],"that":[36,73],"allows":[37],"one":[38],"to":[39,45,136],"analytically":[40],"compare":[41],"two":[43],"approaches":[44],"examine":[48],"their":[49],"relative":[50],"merits.":[51],"The":[52,116,131],"information":[55],"systems":[57,108],"may":[58],"be":[59],"determined":[60],"either":[61],"by":[62],"experimental":[64],"simulation,":[65],"through":[67],"application":[69],"analytic":[71],"techniques":[72],"directly":[74],"estimate":[75],"performance,":[78],"given":[79],"values":[80],"for":[81,96,106],"query":[82],"database":[84],"characteristics.":[85],"Using":[86],"these":[87],"predicting":[89],"techniques,":[90],"sample":[91],"figures":[93],"are":[94],"provided":[95],"or,":[102],"as":[103,105],"well":[104],"probabilistic":[107],"assuming":[109],"statistical":[110,138],"independence":[112],"dependence.":[115],"variation":[117],"across":[120],"sublanguages":[121],"(used":[122],"different":[124],"academic":[125],"disciplines)":[126],"is":[129,142],"examined.":[130,143],"models":[134],"failing":[135],"meet":[137],"other":[140],"assumptions":[141],"\u00a9":[144],"1997":[145],"John":[146],"Wiley":[147],"&":[148],"Sons,":[149],"Inc.":[150]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
