{"id":"https://openalex.org/W2092291186","doi":"https://doi.org/10.1145/2817460.2817464","title":"Filtering SQL via the principles of pandemonium","display_name":"Filtering SQL via the principles of pandemonium","publication_year":1997,"publication_date":"1997-01-01","ids":{"openalex":"https://openalex.org/W2092291186","doi":"https://doi.org/10.1145/2817460.2817464","mag":"2092291186"},"language":"en","primary_location":{"id":"doi:10.1145/2817460.2817464","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2817460.2817464","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/2817460.2817464","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th Annual Southeast Regional Conference on - ACM-SE 35","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/2817460.2817464","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089842361","display_name":"John C. Lusth","orcid":null},"institutions":[{"id":"https://openalex.org/I17301866","display_name":"University of Alabama","ror":"https://ror.org/03xrrjk67","country_code":"US","type":"education","lineage":["https://openalex.org/I17301866"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"John Lusth","raw_affiliation_strings":["The University of Alabama, Tuscaloosa, AL","The University of Alabama (Tuscaloosa, AL)"],"affiliations":[{"raw_affiliation_string":"The University of Alabama, Tuscaloosa, AL","institution_ids":["https://openalex.org/I17301866"]},{"raw_affiliation_string":"The University of Alabama (Tuscaloosa, AL)","institution_ids":["https://openalex.org/I17301866"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026694295","display_name":"Nenad Juki\u0107","orcid":null},"institutions":[{"id":"https://openalex.org/I17301866","display_name":"University of Alabama","ror":"https://ror.org/03xrrjk67","country_code":"US","type":"education","lineage":["https://openalex.org/I17301866"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nenad Jukic","raw_affiliation_strings":["The University of Alabama, Tuscaloosa, AL","The University of Alabama (Tuscaloosa, AL)"],"affiliations":[{"raw_affiliation_string":"The University of Alabama, Tuscaloosa, AL","institution_ids":["https://openalex.org/I17301866"]},{"raw_affiliation_string":"The University of Alabama (Tuscaloosa, AL)","institution_ids":["https://openalex.org/I17301866"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5089842361"],"corresponding_institution_ids":["https://openalex.org/I17301866"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15859401,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"11","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10126","display_name":"Logic, programming, and type systems","score":0.9969000220298767,"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/T10126","display_name":"Logic, programming, and type systems","score":0.9969000220298767,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9925000071525574,"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"}},{"id":"https://openalex.org/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.9902999997138977,"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/computer-science","display_name":"Computer science","score":0.8149406909942627},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.7036930322647095},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6109801530838013},{"id":"https://openalex.org/keywords/simplicity","display_name":"Simplicity","score":0.5805612802505493},{"id":"https://openalex.org/keywords/sql","display_name":"SQL","score":0.5456722974777222},{"id":"https://openalex.org/keywords/interpreter","display_name":"Interpreter","score":0.4401794970035553},{"id":"https://openalex.org/keywords/metaphor","display_name":"Metaphor","score":0.4253453016281128},{"id":"https://openalex.org/keywords/sql-server","display_name":"Sql server","score":0.41675931215286255},{"id":"https://openalex.org/keywords/plan","display_name":"Plan (archaeology)","score":0.41134893894195557},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40492287278175354},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.3959490954875946},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.25178512930870056},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07111123204231262}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8149406909942627},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7036930322647095},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6109801530838013},{"id":"https://openalex.org/C2776372474","wikidata":"https://www.wikidata.org/wiki/Q508291","display_name":"Simplicity","level":2,"score":0.5805612802505493},{"id":"https://openalex.org/C510870499","wikidata":"https://www.wikidata.org/wiki/Q47607","display_name":"SQL","level":2,"score":0.5456722974777222},{"id":"https://openalex.org/C122783720","wikidata":"https://www.wikidata.org/wiki/Q183065","display_name":"Interpreter","level":2,"score":0.4401794970035553},{"id":"https://openalex.org/C2778311575","wikidata":"https://www.wikidata.org/wiki/Q18534","display_name":"Metaphor","level":2,"score":0.4253453016281128},{"id":"https://openalex.org/C2984286706","wikidata":"https://www.wikidata.org/wiki/Q400708","display_name":"Sql server","level":2,"score":0.41675931215286255},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.41134893894195557},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40492287278175354},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3959490954875946},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.25178512930870056},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07111123204231262},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2817460.2817464","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2817460.2817464","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/2817460.2817464","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th Annual Southeast Regional Conference on - ACM-SE 35","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/2817460.2817464","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2817460.2817464","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/2817460.2817464","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th Annual Southeast Regional Conference on - ACM-SE 35","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2092291186.pdf","grobid_xml":"https://content.openalex.org/works/W2092291186.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W2107794542","https://openalex.org/W2165467455","https://openalex.org/W2185907055","https://openalex.org/W2215343611","https://openalex.org/W6600376021","https://openalex.org/W6689185299"],"related_works":["https://openalex.org/W2368019753","https://openalex.org/W2333930193","https://openalex.org/W2737356002","https://openalex.org/W2246241526","https://openalex.org/W4301122218","https://openalex.org/W2374150061","https://openalex.org/W2081340182","https://openalex.org/W2369703001","https://openalex.org/W2372323577","https://openalex.org/W2321432690"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,40,56],"re-introduce":[4],"Pandemonium,":[5],"an":[6,42],"early":[7],"specification":[8],"for":[9,44,87,97,114],"parallel":[10],"processing":[11],"through":[12],"semiautonomous":[13],"agents.":[14],"The":[15],"biggest":[16],"advantage":[17],"of":[18,47,53,66],"the":[19,51,76,91],"Pandemonium":[20,36],"approach":[21,102],"is":[22,26,73],"its":[23],"simplicity,":[24],"which":[25],"achieved":[27],"by":[28,82],"dividing":[29],"tasks":[30],"among":[31],"many":[32,104],"computational":[33],"units.":[34],"Using":[35],"as":[37],"a":[38,64,83],"metaphor,":[39],"design":[41],"interpreter":[43],"general-purpose":[45],"filtering":[46],"text.":[48],"To":[49],"demonstrate":[50],"applicability":[52],"our":[54],"design,":[55],"show":[57],"how":[58],"to":[59],"partially":[60],"parse":[61],"and":[62,90,111],"correct":[63],"sequence":[65],"badly":[67,77],"ordered":[68,78],"SQL":[69],"commands.":[70],"This":[71],"example":[72],"not":[74],"artificial;":[75],"commands":[79],"were":[80],"generated":[81],"commercial":[84],"CASE":[85],"tool":[86],"database":[88],"development":[89],"command":[92],"set":[93],"was":[94],"too":[95],"large":[96],"manual":[98],"correction.":[99],"A":[100],"Pandemonium-style":[101],"has":[103],"advantages":[105],"over":[106],"using":[107],"full-blown":[108],"parser":[109],"generators":[110],"rule-based":[112],"systems":[113],"such":[115],"tasks.":[116]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}