{"id":"https://openalex.org/W1997031082","doi":"https://doi.org/10.1142/s021821579300006x","title":"DESIGN AND IMPLEMENTATION OF A KNOWLEDGE-BASED QUERY PROCESSOR","display_name":"DESIGN AND IMPLEMENTATION OF A KNOWLEDGE-BASED QUERY PROCESSOR","publication_year":1993,"publication_date":"1993-06-01","ids":{"openalex":"https://openalex.org/W1997031082","doi":"https://doi.org/10.1142/s021821579300006x","mag":"1997031082"},"language":"en","primary_location":{"id":"doi:10.1142/s021821579300006x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021821579300006x","pdf_url":null,"source":{"id":"https://openalex.org/S17147961","display_name":"International Journal of Cooperative Information Systems","issn_l":"0218-8430","issn":["0218-8430","1793-6365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Cooperative Information Systems","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/A5080717796","display_name":"Nabil R. Adam","orcid":"https://orcid.org/0000-0002-9931-9972"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"NABIL R. ADAM","raw_affiliation_strings":["MS/CIS Department, GSM, Rutgers University, Newark, NJ 07102, USA"],"affiliations":[{"raw_affiliation_string":"MS/CIS Department, GSM, Rutgers University, Newark, NJ 07102, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051208435","display_name":"Aryya Gangopadhyay","orcid":"https://orcid.org/0000-0002-7553-7932"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"ARYYA GANGOPADHYAY","raw_affiliation_strings":["MS/CIS Department, GSM, Rutgers University, Newark, NJ 07102, USA"],"affiliations":[{"raw_affiliation_string":"MS/CIS Department, GSM, Rutgers University, Newark, NJ 07102, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070654032","display_name":"James Geller","orcid":"https://orcid.org/0000-0002-9120-525X"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"JAMES GELLER","raw_affiliation_strings":["CIS Department, New Jersey Institute of Technology, Newark, NJ 07102, USA"],"affiliations":[{"raw_affiliation_string":"CIS Department, New Jersey Institute of Technology, Newark, NJ 07102, USA","institution_ids":["https://openalex.org/I118118575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5080717796"],"corresponding_institution_ids":["https://openalex.org/I102322142"],"apc_list":null,"apc_paid":null,"fwci":1.1154,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.80094356,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"02","issue":"02","first_page":"107","last_page":"125"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9977999925613403,"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":0.9977999925613403,"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/T11106","display_name":"Data Management and Algorithms","score":0.9976999759674072,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.9022935628890991},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.7204132080078125},{"id":"https://openalex.org/keywords/conjunctive-query","display_name":"Conjunctive query","score":0.6258019804954529},{"id":"https://openalex.org/keywords/result-set","display_name":"Result set","score":0.591167151927948},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.5895301103591919},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.5828859806060791},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5507925748825073},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.5469640493392944},{"id":"https://openalex.org/keywords/spatial-query","display_name":"Spatial query","score":0.5229533314704895},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5068081021308899},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.5036091208457947},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.49184179306030273},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.4903576374053955},{"id":"https://openalex.org/keywords/view","display_name":"View","score":0.47092312574386597},{"id":"https://openalex.org/keywords/boolean-conjunctive-query","display_name":"Boolean conjunctive query","score":0.4494955241680145},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.4482545554637909},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.383201003074646},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.23249438405036926},{"id":"https://openalex.org/keywords/database-design","display_name":"Database design","score":0.18901562690734863},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.18613740801811218}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9022935628890991},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.7204132080078125},{"id":"https://openalex.org/C65647387","wikidata":"https://www.wikidata.org/wiki/Q1781706","display_name":"Conjunctive query","level":3,"score":0.6258019804954529},{"id":"https://openalex.org/C4969071","wikidata":"https://www.wikidata.org/wiki/Q7316353","display_name":"Result set","level":3,"score":0.591167151927948},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.5895301103591919},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.5828859806060791},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5507925748825073},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.5469640493392944},{"id":"https://openalex.org/C172722865","wikidata":"https://www.wikidata.org/wiki/Q2302053","display_name":"Spatial query","level":5,"score":0.5229533314704895},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5068081021308899},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.5036091208457947},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.49184179306030273},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.4903576374053955},{"id":"https://openalex.org/C54239708","wikidata":"https://www.wikidata.org/wiki/Q1329910","display_name":"View","level":3,"score":0.47092312574386597},{"id":"https://openalex.org/C24755975","wikidata":"https://www.wikidata.org/wiki/Q4943354","display_name":"Boolean conjunctive query","level":5,"score":0.4494955241680145},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.4482545554637909},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.383201003074646},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.23249438405036926},{"id":"https://openalex.org/C148840519","wikidata":"https://www.wikidata.org/wiki/Q1049878","display_name":"Database design","level":2,"score":0.18901562690734863},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.18613740801811218}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s021821579300006x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021821579300006x","pdf_url":null,"source":{"id":"https://openalex.org/S17147961","display_name":"International Journal of Cooperative Information Systems","issn_l":"0218-8430","issn":["0218-8430","1793-6365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Cooperative Information Systems","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":0,"referenced_works":[],"related_works":["https://openalex.org/W1483388050","https://openalex.org/W2137382312","https://openalex.org/W2004485491","https://openalex.org/W4298325446","https://openalex.org/W1492449180","https://openalex.org/W2964058024","https://openalex.org/W2156776134","https://openalex.org/W2236547548","https://openalex.org/W1998152264","https://openalex.org/W3105622409"],"abstract_inverted_index":{"This":[0,49],"paper":[1,80],"deals":[2],"with":[3,21,143],"query":[4,87,90,214],"processing":[5],"using":[6,33,139],"semantic":[7,34,115,213],"knowledge":[8],"in":[9,22,36,78,93,164,185,192,211],"relational":[10],"databases.":[11],"The":[12,74],"Select-Project-Join":[13],"(SPJ)":[14],"conjunctive":[15],"class":[16],"of":[17,46,96,109,114,126,133,146,153,167,175],"queries":[18,31,52,69,111,122,134,155],"are":[19,54],"dealt":[20],"this":[23,79,140],"paper.":[24],"We":[25,170,198],"propose":[26],"to":[27,38,64,83,88,103,119,123],"optimize":[28],"highly":[29],"repetitive":[30],"by":[32],"transformations":[35],"addition":[37],"syntactic":[39],"transformations.":[40],"Thus,":[41],"we":[42,71,76,149],"generate":[43],"a":[44,85,89,201],"set":[45,50,95,108,113,125,166],"pre-optimized":[47,97,110,127,168],"queries.":[48,169],"contains":[51],"that":[53,70,91,130,135,156,204],"semantically":[55,161],"equivalent":[56,162],"to,":[57],"syntactically":[58],"different":[59],"from,":[60],"and":[61,98,112,117],"more":[62],"efficient":[63],"process":[65],"than":[66],"the":[67,94,107,124,131,144,165,173,176,193,212],"user":[68,86],"started":[72],"with.":[73],"issues":[75],"address":[77],"are:":[81],"how":[82,102,118],"map":[84],"is":[92,183,190,205],"already":[99],"optimized":[100,138],"queries,":[101,128],"search":[104],"efficiently":[105],"through":[106],"rules,":[116],"incorporate":[120],"new":[121],"so":[129],"number":[132],"can":[136],"be":[137],"method":[141],"increases":[142],"passage":[145],"time.":[147],"Furthermore,":[148],"suggest":[150],"some":[151],"ideas":[152],"handling":[154],"do":[157],"not":[158],"have":[159,171,199],"any":[160],"counterpart":[163],"tested":[172],"performance":[174,210],"proposed":[177],"method.":[178],"An":[179],"algorithm":[180],"for":[181,208],"mapping":[182],"implemented":[184,191],"Prolog.":[186],"A":[187],"database":[188,195,202],"schema":[189,203],"INGRES":[194],"management":[196],"system.":[197],"adopted":[200],"widely":[206],"used":[207],"measuring":[209],"optimization":[215],"literature.":[216]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}