{"id":"https://openalex.org/W2260392665","doi":"https://doi.org/10.14778/2824032.2824064","title":"Indexing and selecting hierarchical business logic","display_name":"Indexing and selecting hierarchical business logic","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2260392665","doi":"https://doi.org/10.14778/2824032.2824064","mag":"2260392665"},"language":"en","primary_location":{"id":"doi:10.14778/2824032.2824064","is_oa":false,"landing_page_url":"https://doi.org/10.14778/2824032.2824064","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},"type":"paratext","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/A5033496509","display_name":"Alessandra Loro","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alessandra Loro","raw_affiliation_strings":["Palantir Technologies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Palantir Technologies","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043472177","display_name":"Anja Gruenheid","orcid":"https://orcid.org/0009-0009-2547-8610"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Anja Gruenheid","raw_affiliation_strings":["ETH Zurich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Zurich","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111504785","display_name":"Donald Kossmann","orcid":null},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]},{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["CH","GB"],"is_corresponding":false,"raw_author_name":"Donald Kossmann","raw_affiliation_strings":["ETH Zurich and Microsoft Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Zurich and Microsoft Research","institution_ids":["https://openalex.org/I35440088","https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075093014","display_name":"Damien Profeta","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152932","display_name":"Amadeus (Spain)","ror":"https://ror.org/04nxxn125","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210152932"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Damien Profeta","raw_affiliation_strings":["S.A.S. Amadeus"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"S.A.S. Amadeus","institution_ids":["https://openalex.org/I4210152932"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067804774","display_name":"Philippe Beaudequin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152932","display_name":"Amadeus (Spain)","ror":"https://ror.org/04nxxn125","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210152932"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Philippe Beaudequin","raw_affiliation_strings":["S.A.S. Amadeus"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"S.A.S. Amadeus","institution_ids":["https://openalex.org/I4210152932"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":"12","first_page":"1656","last_page":"1667"},"is_retracted":false,"is_paratext":true,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9995999932289124,"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/T11106","display_name":"Data Management and Algorithms","score":0.9995999932289124,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9976999759674072,"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/computer-science","display_name":"Computer science","score":0.8231381177902222},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.6323223114013672},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5401588082313538},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5333195924758911},{"id":"https://openalex.org/keywords/business-rule","display_name":"Business rule","score":0.524699330329895},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5119520425796509},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5016694068908691},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.47166717052459717},{"id":"https://openalex.org/keywords/semantics-of-business-vocabulary-and-business-rules","display_name":"Semantics of Business Vocabulary and Business Rules","score":0.4239766299724579},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.41198965907096863},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3432125151157379},{"id":"https://openalex.org/keywords/business-process","display_name":"Business process","score":0.26967108249664307},{"id":"https://openalex.org/keywords/work-in-process","display_name":"Work in process","score":0.0951283872127533}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8231381177902222},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.6323223114013672},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5401588082313538},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5333195924758911},{"id":"https://openalex.org/C11066294","wikidata":"https://www.wikidata.org/wiki/Q1518244","display_name":"Business rule","level":4,"score":0.524699330329895},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5119520425796509},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5016694068908691},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.47166717052459717},{"id":"https://openalex.org/C177688676","wikidata":"https://www.wikidata.org/wiki/Q7449106","display_name":"Semantics of Business Vocabulary and Business Rules","level":5,"score":0.4239766299724579},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.41198965907096863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3432125151157379},{"id":"https://openalex.org/C85345410","wikidata":"https://www.wikidata.org/wiki/Q851587","display_name":"Business process","level":3,"score":0.26967108249664307},{"id":"https://openalex.org/C174998907","wikidata":"https://www.wikidata.org/wiki/Q357662","display_name":"Work in process","level":2,"score":0.0951283872127533},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/2824032.2824064","is_oa":false,"landing_page_url":"https://doi.org/10.14778/2824032.2824064","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7599999904632568,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W137674648","https://openalex.org/W180687025","https://openalex.org/W1491366049","https://openalex.org/W1499988986","https://openalex.org/W1560588670","https://openalex.org/W1605476942","https://openalex.org/W1736638243","https://openalex.org/W1973828215","https://openalex.org/W2023777513","https://openalex.org/W2031746366","https://openalex.org/W2036699059","https://openalex.org/W2045639879","https://openalex.org/W2060978628","https://openalex.org/W2070466630","https://openalex.org/W2081418758","https://openalex.org/W2087060113","https://openalex.org/W2110459974","https://openalex.org/W2120084971","https://openalex.org/W2134206624","https://openalex.org/W2134356404","https://openalex.org/W2908465580","https://openalex.org/W3021133423","https://openalex.org/W4237641255"],"related_works":["https://openalex.org/W2405817684","https://openalex.org/W3013900006","https://openalex.org/W35475220","https://openalex.org/W2110787924","https://openalex.org/W634373187","https://openalex.org/W3021604144","https://openalex.org/W1600660867","https://openalex.org/W2998554397","https://openalex.org/W2544337186","https://openalex.org/W2564267807"],"abstract_inverted_index":{"Business":[0],"rule":[1,35,120,124,135],"management":[2],"is":[3,17],"the":[4,33,56,97,105],"task":[5],"of":[6,59,78,91,101,138],"storing":[7],"and":[8,13,53,84,122,146],"maintaining":[9],"company-specific":[10],"decision":[11,113],"rules":[12,24,99],"business":[14,34],"logic":[15],"that":[16,50,68,81,115],"queried":[18],"frequently":[19],"by":[20],"application":[21],"users.":[22],"These":[23],"can":[25],"impede":[26],"efficient":[27,123],"query":[28],"processing":[29],"when":[30],"they":[31],"require":[32],"engine":[36],"to":[37],"resolve":[38],"semantic":[39,71],"hierarchies.":[40],"To":[41],"address":[42],"this":[43,45,60,79],"problem,":[44],"work":[46,93],"discusses":[47],"hierarchical":[48,66],"indexes":[49],"are":[51,141],"performance":[52,83],"storage-conscious.":[54],"In":[55],"first":[57],"part":[58,90],"work,":[61],"we":[62,127],"develop":[63],"a":[64,110,118,129],"tree-based":[65],"structure":[67,80],"represents":[69],"client-defined":[70],"hierarchies":[72],"as":[73,75],"well":[74],"two":[76],"variants":[77],"improve":[82],"main":[85],"memory":[86],"allocation.":[87],"The":[88],"second":[89],"our":[92],"focuses":[94],"on":[95],"selecting":[96],"top":[98],"out":[100],"those":[102],"retrieved":[103],"from":[104],"index.":[106],"We":[107],"formally":[108],"define":[109],"priority":[111],"score-based":[112],"scheme":[114],"allows":[116],"for":[117,134],"conflict-free":[119],"system":[121],"ranking.":[125],"Additionally,":[126],"introduce":[128],"weight-based":[130],"lazy":[131],"merging":[132],"technique":[133],"selection.":[136],"All":[137],"these":[139],"techniques":[140],"evaluated":[142],"with":[143],"real":[144],"world":[145],"synthetic":[147],"data":[148],"sets.":[149]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
