{"id":"https://openalex.org/W2939379950","doi":"https://doi.org/10.1109/tkde.2020.2966609","title":"Compressed Indexes for Fast Search of Semantic Data","display_name":"Compressed Indexes for Fast Search of Semantic Data","publication_year":2020,"publication_date":"2020-01-14","ids":{"openalex":"https://openalex.org/W2939379950","doi":"https://doi.org/10.1109/tkde.2020.2966609","mag":"2939379950"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2020.2966609","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.2966609","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1904.07619","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035605298","display_name":"Raffaele Perego","orcid":"https://orcid.org/0000-0001-7189-4724"},"institutions":[{"id":"https://openalex.org/I122991210","display_name":"Istituto di Scienza e Tecnologie dell'Informazione \"Alessandro Faedo\"","ror":"https://ror.org/05kacka20","country_code":"IT","type":"facility","lineage":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Raffaele Perego","raw_affiliation_strings":["High Performance Computing Lab, ISTI-CNR, Area della Ricerca di Pisa, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"High Performance Computing Lab, ISTI-CNR, Area della Ricerca di Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I122991210"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010860687","display_name":"Giulio Ermanno Pibiri","orcid":"https://orcid.org/0000-0003-0724-7092"},"institutions":[{"id":"https://openalex.org/I122991210","display_name":"Istituto di Scienza e Tecnologie dell'Informazione \"Alessandro Faedo\"","ror":"https://ror.org/05kacka20","country_code":"IT","type":"facility","lineage":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giulio Ermanno Pibiri","raw_affiliation_strings":["High Performance Computing Lab, ISTI-CNR, Area della Ricerca di Pisa, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"High Performance Computing Lab, ISTI-CNR, Area della Ricerca di Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I122991210"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084138015","display_name":"Rossano Venturini","orcid":"https://orcid.org/0000-0002-9830-3936"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Rossano Venturini","raw_affiliation_strings":["Department of Computer Science, University of Pisa, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035605298"],"corresponding_institution_ids":["https://openalex.org/I122991210"],"apc_list":null,"apc_paid":null,"fwci":2.6214,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.91528251,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"33","issue":"9","first_page":"3187","last_page":"3198"},"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9927999973297119,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9889000058174133,"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":0.8669710159301758},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.8430353403091431},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.779141366481781},{"id":"https://openalex.org/keywords/sparql","display_name":"SPARQL","score":0.7186572551727295},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5728758573532104},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5301345586776733},{"id":"https://openalex.org/keywords/trie","display_name":"Trie","score":0.5058695673942566},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.47995808720588684},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.479265421628952},{"id":"https://openalex.org/keywords/cwm","display_name":"Cwm","score":0.47691652178764343},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.46311724185943604},{"id":"https://openalex.org/keywords/pattern-matching","display_name":"Pattern matching","score":0.4382944405078888},{"id":"https://openalex.org/keywords/range-query","display_name":"Range query (database)","score":0.43326079845428467},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4273264706134796},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.3962424695491791},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3661361336708069},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.23159301280975342},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.1847354769706726},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14032402634620667},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.09717705845832825}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8669710159301758},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.8430353403091431},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.779141366481781},{"id":"https://openalex.org/C41009113","wikidata":"https://www.wikidata.org/wiki/Q54871","display_name":"SPARQL","level":4,"score":0.7186572551727295},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5728758573532104},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5301345586776733},{"id":"https://openalex.org/C190290938","wikidata":"https://www.wikidata.org/wiki/Q387015","display_name":"Trie","level":3,"score":0.5058695673942566},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.47995808720588684},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.479265421628952},{"id":"https://openalex.org/C157595922","wikidata":"https://www.wikidata.org/wiki/Q50745537","display_name":"Cwm","level":5,"score":0.47691652178764343},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.46311724185943604},{"id":"https://openalex.org/C68859911","wikidata":"https://www.wikidata.org/wiki/Q1503724","display_name":"Pattern matching","level":2,"score":0.4382944405078888},{"id":"https://openalex.org/C136736807","wikidata":"https://www.wikidata.org/wiki/Q818943","display_name":"Range query (database)","level":5,"score":0.43326079845428467},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4273264706134796},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.3962424695491791},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3661361336708069},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.23159301280975342},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.1847354769706726},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14032402634620667},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.09717705845832825},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tkde.2020.2966609","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.2966609","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1904.07619","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1904.07619","pdf_url":"https://arxiv.org/pdf/1904.07619","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:arpi.unipi.it:11568/1106454","is_oa":true,"landing_page_url":"https://hdl.handle.net/11568/1106454","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:dnet:people______::b664f817f17a1644ba746e559744c94b","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S7407055261","display_name":"ISTI Open Portal","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (PRINT), vol. 33 (issue 9), pp. 3187-3198","raw_type":"Journal article"},{"id":"pmh:oai:iris.unive.it:10278/5009270","is_oa":true,"landing_page_url":"https://hdl.handle.net/10278/5009270","pdf_url":null,"source":{"id":"https://openalex.org/S4306402336","display_name":"ARCA (Universit\u00e0 Ca' Foscari Venezia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149461666","host_organization_name":"Ca' Foscari University of Venice","host_organization_lineage":["https://openalex.org/I149461666"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1904.07619","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1904.07619","pdf_url":"https://arxiv.org/pdf/1904.07619","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W51213517","https://openalex.org/W102708294","https://openalex.org/W202389787","https://openalex.org/W1546170802","https://openalex.org/W1582690601","https://openalex.org/W1599916961","https://openalex.org/W1810256132","https://openalex.org/W2000656232","https://openalex.org/W2013520691","https://openalex.org/W2015690376","https://openalex.org/W2036380454","https://openalex.org/W2046038806","https://openalex.org/W2057223122","https://openalex.org/W2089455813","https://openalex.org/W2134696992","https://openalex.org/W2135577024","https://openalex.org/W2137152505","https://openalex.org/W2138662031","https://openalex.org/W2142905080","https://openalex.org/W2147344977","https://openalex.org/W2161584750","https://openalex.org/W2164023715","https://openalex.org/W2184653508","https://openalex.org/W2222040190","https://openalex.org/W2234833181","https://openalex.org/W2341330705","https://openalex.org/W2563142794","https://openalex.org/W2740353565","https://openalex.org/W2810834465","https://openalex.org/W2890036314","https://openalex.org/W2919226058","https://openalex.org/W3112768174","https://openalex.org/W3126102308","https://openalex.org/W4239696231","https://openalex.org/W4321508425","https://openalex.org/W6632872720","https://openalex.org/W6679642144","https://openalex.org/W6766685637"],"related_works":["https://openalex.org/W2602535883","https://openalex.org/W4301152651","https://openalex.org/W4206665951","https://openalex.org/W4296056063","https://openalex.org/W2887413659","https://openalex.org/W2092512344","https://openalex.org/W4327990","https://openalex.org/W2898998873","https://openalex.org/W3107051279","https://openalex.org/W3083425935"],"abstract_inverted_index":{"The":[0,88],"sheer":[1],"increase":[2],"in":[3],"volume":[4],"of":[5,45,53,83,97,130],"RDF":[6,27,59],"data":[7,22],"demands":[8],"efficient":[9],"solutions":[10,112],"for":[11,50,85],"the":[12,32,43,51,72,114],"triple":[13],"indexing":[14],"problem,":[15],"that":[16,103],"is":[17],"to":[18,24,70,79],"devise":[19],"a":[20,66,94,128],"compressed":[21],"structure":[23],"compactly":[25],"represent":[26],"triples":[28],"by":[29,116,127],"guaranteeing,":[30],"at":[31,42,113],"same":[33],"time,":[34],"fast":[35],"pattern":[36],"matching":[37],"operations.":[38],"This":[39],"problem":[40,73],"lies":[41],"heart":[44],"delivering":[46],"good":[47],"practical":[48],"performance":[49],"resolution":[52],"complex":[54],"SPARQL":[55],"queries":[56],"on":[57],"large":[58],"datasets.":[60],"In":[61],"this":[62],"work,":[63],"we":[64],"propose":[65],"trie-based":[67],"index":[68],"layout":[69],"solve":[71],"and":[74,122],"introduce":[75],"two":[76],"novel":[77],"techniques":[78],"reduce":[80],"its":[81],"space":[82,121],"representation":[84],"improved":[86],"effectiveness.":[87],"extensive":[89],"experimental":[90],"analysis,":[91],"conducted":[92],"over":[93],"wide":[95],"range":[96],"publicly":[98],"available":[99],"real-world":[100],"datasets,":[101],"reveals":[102],"our":[104],"best":[105],"space/time":[106],"trade-off":[107],"configuration":[108],"substantially":[109],"outperforms":[110],"existing":[111],"state-of-the-art,":[115],"taking":[117],"30-60":[118],"percent":[119],"less":[120],"speeding":[123],"up":[124],"query":[125],"execution":[126],"factor":[129],"2":[131],"-":[132],"81\u00d7.":[133]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-04T08:04:53.788161","created_date":"2020-11-23T00:00:00"}
