{"id":"https://openalex.org/W70572806","doi":null,"title":"Practical Optimization Considerations For Diagnostic Knowledge Representation","display_name":"Practical Optimization Considerations For Diagnostic Knowledge Representation","publication_year":1999,"publication_date":"1999-01-01","ids":{"openalex":"https://openalex.org/W70572806","mag":"70572806"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.526.9998","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.526.9998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.aaai.org/Papers/Symposia/Spring/1999/SS-99-04/SS99-04-016.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5073054584","display_name":"Patricia Collins Cornwell","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Patricia Collins Cornwell","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005334284","display_name":"Jaap Suermondt","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jaap Suermondt","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077348567","display_name":"George Forman","orcid":"https://orcid.org/0000-0003-2179-4930","observed_orcids":["https://orcid.org/0000-0003-2179-4930"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"George Forman","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-2179-4930","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022565584","display_name":"Evan Kirshenbaum","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Evan Kirshenbaum","raw_affiliation_strings":["Hewlett Packard"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hewlett Packard","institution_ids":["https://openalex.org/I1324840837"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030523235","display_name":"Aparna Seetharaman","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aparna Seetharaman","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3776,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.65602269,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.5971999764442444,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.5971999764442444,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.1477999985218048,"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/T14222","display_name":"Knowledge Management and Technology","score":0.04010000079870224,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/troubleshooting","display_name":"troubleshooting","score":0.6309999823570251},{"id":"https://openalex.org/keywords/knowledge-acquisition","display_name":"knowledge acquisition","score":0.8159999847412109},{"id":"https://openalex.org/keywords/knowledge-maintenance","display_name":"knowledge maintenance","score":0.9789999723434448},{"id":"https://openalex.org/keywords/knowledge-engineering","display_name":"knowledge engineering","score":0.5830000042915344},{"id":"https://openalex.org/keywords/decision-criteria","display_name":"decision criteria","score":0.5509999990463257},{"id":"https://openalex.org/keywords/requirements-derivation","display_name":"requirements derivation","score":0.6679999828338623},{"id":"https://openalex.org/keywords/business-process-improvement","display_name":"business process improvement","score":0.43299999833106995}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6839485168457031},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6359021067619324},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5803889632225037},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.5568632483482361},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.5277262926101685},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.48009517788887024},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.4736282229423523},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4510202407836914},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.4421961009502411},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21722444891929626},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13851889967918396},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.1068047285079956},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.10443109273910522},{"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.526.9998","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.526.9998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.aaai.org/Papers/Symposia/Spring/1999/SS-99-04/SS99-04-016.pdf","raw_type":"text"},{"id":"mag:70572806","doi":null,"is_oa":false,"landing_page_url":"http://www.aaai.org/Papers/Symposia/Spring/1999/SS-99-04/SS99-04-016.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2042037135","https://openalex.org/W2087725958","https://openalex.org/W2183652387"],"related_works":["https://openalex.org/W832404889","https://openalex.org/W6959769971","https://openalex.org/W189572010","https://openalex.org/W6991066903","https://openalex.org/W1613801083","https://openalex.org/W1993544454","https://openalex.org/W2415804959","https://openalex.org/W3145719808","https://openalex.org/W70013623","https://openalex.org/W2378466783"],"abstract_inverted_index":{"Using":[0],"practical":[1,65],"criteria":[2],"for":[3,92],"the":[4,14,37,56,70,93,111],"selection":[5],"of":[6,35,41,45,53,58,75,119],"a":[7,51,129],"diagnostic":[8,38,94,136],"knowledge":[9,95,107,137],"representation,":[10],"businesses":[11],"can":[12,86,99,139],"optimize":[13],"choice":[15],"to":[16,63,83,89,102],"their":[17],"specific":[18],"business":[19,105],"goals,":[20],"processes,":[21],"and":[22,43,106],"or-ganization":[23],"structure.":[24],"This":[25],"optimization":[26],"involves":[27],"compro-mises,":[28],"as":[29],"there":[30],"are":[31],"tradeoffs":[32],"among":[33],"ease":[34,40,44],"acquiring":[36],"knowledge,":[39],"maintenance,":[42],"use":[46],"in":[47,55],"troubleshooting.":[48],"We":[49],"present":[50],"set":[52,118],"considerations":[54,76,98],"form":[57],"questions":[59,85,125],"we":[60],"have":[61],"found":[62],"be":[64,87,100,140],"yet":[66],"more":[67],"thorough":[68],"than":[69],"de":[71],"facto":[72],"short":[73],"list":[74],"used":[77,88],"by":[78],"most":[79],"organizations.":[80],"The":[81],"answers":[82],"these":[84,127],"derive":[90],"requirements":[91],"representation.":[96],"These":[97],"tailored":[101],"address":[103],"particular":[104],"en-gineering":[108],"considerations.":[109],"While":[110],"paper":[112],"does":[113],"not":[114],"provide":[115,128],"an":[116],"exhaustive":[117],"considerations,":[120],"our":[121],"experience":[122],"is":[123],"that":[124],"like":[126],"lower-risk":[130],"basis":[131],"on":[132],"which":[133],"decisions":[134],"about":[135],"representation":[138],"made.":[141]},"counts_by_year":[],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2016-06-24T00:00:00"}
