{"id":"https://openalex.org/W46232172","doi":null,"title":"Knowledge base compilation","display_name":"Knowledge base compilation","publication_year":1989,"publication_date":"1989-08-20","ids":{"openalex":"https://openalex.org/W46232172","mag":"46232172"},"language":"en","primary_location":{"id":"mag:46232172","doi":null,"is_oa":false,"landing_page_url":"http://ijcai.org/Proceedings/89-1/Papers/036.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306419999","display_name":"International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Joint Conference on Artificial Intelligence","raw_type":null},"volume":null,"type":"conference-paper","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/A5063401900","display_name":"F. D. Highland","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"F. D. Highland","raw_affiliation_strings":["AI Technology Center, IBM Systems Integration Division, Gaithersburg, MD#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI Technology Center, IBM Systems Integration Division, Gaithersburg, MD#TAB#","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034100347","display_name":"C. T. Iwaskiw","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C. T. Iwaskiw","raw_affiliation_strings":["AI Technology Center, IBM Systems Integration Division, Gaithersburg, MD#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI Technology Center, IBM Systems Integration Division, Gaithersburg, MD#TAB#","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1341412227"],"apc_list":null,"apc_paid":null,"fwci":0.9894,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.70976541,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"227","last_page":"232"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10906","display_name":"AI-based Problem Solving and Planning","score":0.8682000041007996,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.8682000041007996,"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/T10904","display_name":"Embedded Systems Design Techniques","score":0.04749999940395355,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10126","display_name":"Logic, programming, and type systems","score":0.017999999225139618,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/expert-systems","display_name":"expert systems","score":0.9419999718666077},{"id":"https://openalex.org/keywords/inference-engine","display_name":"inference engine","score":0.42500001192092896},{"id":"https://openalex.org/keywords/embedded-systems","display_name":"embedded systems","score":0.7789999842643738},{"id":"https://openalex.org/keywords/real-time-reasoning","display_name":"real-time reasoning","score":0.6650000214576721},{"id":"https://openalex.org/keywords/performance-optimization","display_name":"performance optimization","score":0.6940000057220459},{"id":"https://openalex.org/keywords/knowledge-representation","display_name":"knowledge representation","score":0.3659999966621399}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8346814513206482},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.7704001665115356},{"id":"https://openalex.org/C46743427","wikidata":"https://www.wikidata.org/wiki/Q1341685","display_name":"Inference engine","level":3,"score":0.6495829820632935},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.6315590143203735},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.5481104254722595},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5386725664138794},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5218328833580017},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4818650186061859},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.4151530861854553},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3932284712791443},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.33230239152908325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2949361205101013},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:46232172","doi":null,"is_oa":false,"landing_page_url":"http://ijcai.org/Proceedings/89-1/Papers/036.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306419999","display_name":"International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Joint Conference on Artificial Intelligence","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":2,"referenced_works":["https://openalex.org/W2116502002","https://openalex.org/W2138333946"],"related_works":["https://openalex.org/W7121539638","https://openalex.org/W7096087569","https://openalex.org/W4251153548","https://openalex.org/W2408657608","https://openalex.org/W2003555562","https://openalex.org/W22230111","https://openalex.org/W2072694526","https://openalex.org/W2092278822","https://openalex.org/W1979260260","https://openalex.org/W4246616466"],"abstract_inverted_index":{"The":[0,47,92],"effective":[1],"use":[2],"of":[3,22,40,80,84],"knowledge":[4,41,64,86],"based":[5,50],"systems":[6,24],"technology":[7],"to":[8,72],"solve":[9],"complex":[10],"and":[11,66,88],"real-time":[12],"problems":[13],"in":[14],"embedded":[15],"system":[16],"environments":[17],"requires":[18],"that":[19],"the":[20,37,62,69,78,85,105],"performance":[21,93],"these":[23],"be":[25,100],"maximized":[26],"for":[27,36],"conventional":[28],"processor":[29],"architectures.":[30],"This":[31,76],"paper":[32],"presents":[33],"a":[34,82,112],"technique":[35,48],"complete":[38],"compilation":[39],"bases":[42],"directly":[43],"into":[44],"procedural":[45],"code.":[46],"is":[49],"on":[51],"determining":[52],"what":[53],"actions":[54],"an":[55],"interpretive":[56],"inference":[57],"engine":[58],"would":[59],"take":[60],"with":[61],"specific":[63],"base":[65,87],"generating":[67],"only":[68],"code":[70],"needed":[71],"perform":[73],"those":[74],"actions.":[75],"eliminates":[77],"overhead":[79],"interpreting":[81],"representation":[83],"significantly":[89],"improves":[90],"performance.":[91],"gains":[94],"produced":[95],"by":[96],"this":[97,117],"approach":[98],"will":[99],"examined":[101],"using":[102],"examples":[103],"from":[104],"High":[106],"Performance":[107],"[imbedded":[108],"Reasoning":[109],"(HiPER)":[110],"System,":[111],"prototype":[113],"tool":[114],"which":[115],"utilizes":[116],"technology.":[118]},"counts_by_year":[],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2016-06-24T00:00:00"}