{"id":"https://openalex.org/W1931417875","doi":"https://doi.org/10.3233/fi-2000-41404","title":"Building Knowledge Scouts Using KGL Metalanguage","display_name":"Building Knowledge Scouts Using KGL Metalanguage","publication_year":2000,"publication_date":"2000-01-01","ids":{"openalex":"https://openalex.org/W1931417875","doi":"https://doi.org/10.3233/fi-2000-41404","mag":"1931417875"},"language":"en","primary_location":{"id":"doi:10.3233/fi-2000-41404","is_oa":false,"landing_page_url":"https://doi.org/10.3233/fi-2000-41404","pdf_url":null,"source":{"id":"https://openalex.org/S39012697","display_name":"Fundamenta Informaticae","issn_l":"0169-2968","issn":["0169-2968","1875-8681"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fundamenta Informaticae","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/A5108082211","display_name":"Ryszard S. Michalski","orcid":null},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ryszard S. Michalski","raw_affiliation_strings":["Machine Learning and Inference Laboratory, George Mason University, Fairfax, VA 22030-4444, USA. michalski@gmu.edu","(Correspd.) (Also with Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland) Machine Learning and Inference Laboratory, George Mason University, Fairfax, VA 22030-4444, USA. m "],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning and Inference Laboratory, George Mason University, Fairfax, VA 22030-4444, USA. michalski@gmu.edu","institution_ids":["https://openalex.org/I162714631"]},{"raw_affiliation_string":"(Correspd.) (Also with Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland) Machine Learning and Inference Laboratory, George Mason University, Fairfax, VA 22030-4444, USA. m ","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055949154","display_name":"Kenneth A. Kaufman","orcid":null},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kenneth A. Kaufman","raw_affiliation_strings":["Machine Learning and Inference Laboratory, George Mason University, Fairfax, VA 22030-4444, USA. michalski@gmu.edu"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning and Inference Laboratory, George Mason University, Fairfax, VA 22030-4444, USA. michalski@gmu.edu","institution_ids":["https://openalex.org/I162714631"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5108082211"],"corresponding_institution_ids":["https://openalex.org/I162714631"],"apc_list":null,"apc_paid":null,"fwci":4.2529,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.9396979,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":"41","issue":"4","first_page":"433","last_page":"447"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9976000189781189,"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":0.9976000189781189,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9973000288009644,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9943000078201294,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/metalanguage","display_name":"Metalanguage","score":0.8006041646003723},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.4331062436103821},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.10958155989646912}],"concepts":[{"id":"https://openalex.org/C142998047","wikidata":"https://www.wikidata.org/wiki/Q193983","display_name":"Metalanguage","level":2,"score":0.8006041646003723},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.4331062436103821},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.10958155989646912}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/fi-2000-41404","is_oa":false,"landing_page_url":"https://doi.org/10.3233/fi-2000-41404","pdf_url":null,"source":{"id":"https://openalex.org/S39012697","display_name":"Fundamenta Informaticae","issn_l":"0169-2968","issn":["0169-2968","1875-8681"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fundamenta Informaticae","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.20.9288","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.20.9288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.mli.gmu.edu/papers/FI2000.ps","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W54446695","https://openalex.org/W56549917","https://openalex.org/W121244562","https://openalex.org/W1507527858","https://openalex.org/W1516183199","https://openalex.org/W1822580350","https://openalex.org/W1872965898","https://openalex.org/W1970406594","https://openalex.org/W2037591014","https://openalex.org/W2110414574","https://openalex.org/W2134419643","https://openalex.org/W2138562911","https://openalex.org/W2160851181","https://openalex.org/W2165558305","https://openalex.org/W2166559705"],"related_works":["https://openalex.org/W3116835002","https://openalex.org/W2529330798","https://openalex.org/W63612211","https://openalex.org/W1972826059","https://openalex.org/W2191615978","https://openalex.org/W2050042012","https://openalex.org/W2996808584","https://openalex.org/W2352587713","https://openalex.org/W2076571272","https://openalex.org/W2368675281"],"abstract_inverted_index":{"Knowledge":[0,34],"scouts":[1,35],"are":[2,56,80,128],"software":[3],"agents":[4],"that":[5,136,153],"autonomously":[6],"synthesize":[7],"user-oriented":[8],"knowledge":[9,21,32,53,70,133,179],"(target":[10],"knowledge)":[11],"from":[12,180],"information":[13],"present":[14],"in":[15,37,48,73,82,146,160],"local":[16],"or":[17],"distributed":[18],"databases.":[19,181],"A":[20],"generation":[22],"metalanguage,":[23],"KGL,":[24],"is":[25,71],"used":[26],"to":[27],"creating":[28],"scripts":[29],"defining":[30],"such":[31],"scouts.":[33],"operate":[36],"an":[38],"inductive":[39,66],"database,":[40,150],"by":[41,103,130],"which":[42,49,79,96],"we":[43],"mean":[44],"a":[45,59,116,147,170],"database":[46],"system":[47],"conventional":[50],"data":[51,63],"and":[52,65,89,92,98,144,151],"management":[54],"operators":[55],"integrated":[57],"with":[58,115],"wide":[60],"range":[61],"of":[62,119,123,157,174],"mining":[64],"inference":[67],"operators.":[68],"Discovered":[69],"represented":[72],"two":[74,131],"forms:":[75],"(1)":[76],"attributional":[77,83],"rules,":[78],"rules":[81],"calculus\u2014a":[84],"logic-based":[85],"language":[86],"between":[87],"prepositional":[88],"predicate":[90],"calculus,":[91],"(2)":[93],"association":[94],"graphs,":[95],"graphically":[97],"abstractly":[99],"represent":[100],"relations":[101,138],"expressed":[102],"the":[104,120,161],"rules.":[105],"These":[106],"graphs":[107],"can":[108],"depict":[109],"multi-argument":[110],"relationships":[111],"among":[112,139],"different":[113],"concepts,":[114],"visual":[117],"indication":[118],"relative":[121],"strength":[122],"each":[124],"dependency.":[125],"Presented":[126],"ideas":[127],"illustrated":[129],"simple":[132],"scouts,":[134],"one":[135],"seeks":[137],"lifestyles,":[140],"environmental":[141],"conditions,":[142],"symptoms":[143],"diseases":[145],"large":[148],"medical":[149],"another":[152],"searches":[154],"for":[155,177],"patterns":[156],"children's":[158],"behavior":[159],"National":[162],"Youth":[163],"Survey":[164],"database.":[165],"The":[166],"preliminary":[167],"results":[168],"indicate":[169],"high":[171],"potential":[172],"utility":[173],"this":[175],"methodology":[176],"deriving":[178]},"counts_by_year":[],"updated_date":"2026-05-03T06:03:33.228499","created_date":"2025-10-10T00:00:00"}