{"id":"https://openalex.org/W2783938312","doi":"https://doi.org/10.3233/978-1-61499-828-0-63","title":"Conjunctive Query for Linked Data Based on Semi-Join","display_name":"Conjunctive Query for Linked Data Based on Semi-Join","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2783938312","doi":"https://doi.org/10.3233/978-1-61499-828-0-63","mag":"2783938312"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-828-0-63","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-828-0-63","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","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/A5034734441","display_name":"Jiang Dong-yang","orcid":"https://orcid.org/0000-0003-3613-3756"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jiang Dongyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5034734441"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2111254,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"63","last_page":"69"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9584000110626221,"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":0.9584000110626221,"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/join","display_name":"Join (topology)","score":0.7778295278549194},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5624140501022339},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.5368481278419495},{"id":"https://openalex.org/keywords/conjunctive-query","display_name":"Conjunctive query","score":0.4590226113796234},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41165703535079956},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3393487334251404},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21289017796516418},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.10460793972015381},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.07042723894119263}],"concepts":[{"id":"https://openalex.org/C2776124973","wikidata":"https://www.wikidata.org/wiki/Q3183033","display_name":"Join (topology)","level":2,"score":0.7778295278549194},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5624140501022339},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.5368481278419495},{"id":"https://openalex.org/C65647387","wikidata":"https://www.wikidata.org/wiki/Q1781706","display_name":"Conjunctive query","level":3,"score":0.4590226113796234},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41165703535079956},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3393487334251404},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21289017796516418},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.10460793972015381},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.07042723894119263}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/978-1-61499-828-0-63","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-828-0-63","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"mag:2783938312","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/fsdm/fsdm2017.html#Jiang17","pdf_url":null,"source":{"id":"https://openalex.org/S4306510962","display_name":"FSDM","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"FSDM","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4205996836","https://openalex.org/W2151692181","https://openalex.org/W4392498349","https://openalex.org/W2093960938","https://openalex.org/W3214148052","https://openalex.org/W4392216655","https://openalex.org/W2807741550","https://openalex.org/W2387635197","https://openalex.org/W32512226","https://openalex.org/W4394751528"],"abstract_inverted_index":{"As":[0],"the":[1,36,54,58,67,76,80,86,89,113,116,122,146],"semantic":[2],"web":[3,10],"develops,":[4],"a":[5,17,40,94,128],"large":[6],"amount":[7],"of":[8,79,88,103,115],"available":[9],"data":[11,28,64,72,96,117],"grows":[12],"rapidly.":[13],"It":[14],"is":[15,138],"still":[16],"hot":[18],"topic":[19],"how":[20],"to":[21,52,56,84,111,145],"query":[22,42,77,123],"useful":[23],"information":[24],"from":[25,66],"these":[26],"Web":[27],"more":[29,139,142],"quickly,":[30],"efficiently":[31],"and":[32,69,92,141],"exactly.":[33],"To":[34,120],"approach":[35],"issues,":[37],"we":[38,74,126],"present":[39,93,127],"conjunctive":[41],"method":[43],"for":[44],"Linked":[45],"Data":[46],"based":[47,100],"on":[48,101],"semi-join":[49,130],"in":[50],"order":[51],"reduce":[53,121],"overhead":[55],"transit":[57],"intermediate":[59,90],"results":[60,78,91],"produced":[61],"by":[62],"each":[63],"source":[65,97,118],"network":[68],"when":[70],"selecting":[71],"source,":[73],"exploit":[75],"basic":[81],"graph":[82],"pattern":[83],"precompute":[85],"cardinalities":[87],"new":[95],"selection":[98],"algorithm":[99],"&amp;ldquo;vocabulary":[102],"interlinked":[104],"dataset":[105],"(":[106],"voiD":[107],")":[108],"&amp;rdquo;+&amp;ldquo;SPARQL":[109],"ASK&amp;rdquo;":[110],"improve":[112],"accuracy":[114],"selection.":[119],"response":[124],"time,":[125],"parallel":[129],"algorithm.":[131],"Extensive":[132],"experiments":[133],"show":[134],"that":[135],"our":[136],"solution":[137],"efficient":[140],"effective":[143],"compared":[144],"existing":[147],"techniques.":[148]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
