{"id":"https://openalex.org/W1571533098","doi":"https://doi.org/10.1007/978-3-642-22351-8_30","title":"Massive-Scale RDF Processing Using Compressed Bitmap Indexes","display_name":"Massive-Scale RDF Processing Using Compressed Bitmap Indexes","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W1571533098","doi":"https://doi.org/10.1007/978-3-642-22351-8_30","mag":"1571533098"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-22351-8_30","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-22351-8_30","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","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/A5057403059","display_name":"Kamesh Madduri","orcid":"https://orcid.org/0000-0003-4344-0957"},"institutions":[{"id":"https://openalex.org/I148283060","display_name":"Lawrence Berkeley National Laboratory","ror":"https://ror.org/02jbv0t02","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I148283060","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kamesh Madduri","raw_affiliation_strings":["Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA"],"affiliations":[{"raw_affiliation_string":"Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA","institution_ids":["https://openalex.org/I148283060"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043129695","display_name":"Kesheng Wu","orcid":"https://orcid.org/0000-0002-6907-3393"},"institutions":[{"id":"https://openalex.org/I148283060","display_name":"Lawrence Berkeley National Laboratory","ror":"https://ror.org/02jbv0t02","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I148283060","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kesheng Wu","raw_affiliation_strings":["Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA"],"affiliations":[{"raw_affiliation_string":"Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA","institution_ids":["https://openalex.org/I148283060"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5057403059"],"corresponding_institution_ids":["https://openalex.org/I148283060"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.14958414,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"470","last_page":"479"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9979000091552734,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.996999979019165,"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/sparql","display_name":"SPARQL","score":0.9639690518379211},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8622878193855286},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.8382025361061096},{"id":"https://openalex.org/keywords/bitmap","display_name":"Bitmap","score":0.6461700201034546},{"id":"https://openalex.org/keywords/rdf-schema","display_name":"RDF Schema","score":0.5610687136650085},{"id":"https://openalex.org/keywords/rdf-query-language","display_name":"RDF query language","score":0.5543575882911682},{"id":"https://openalex.org/keywords/simple-knowledge-organization-system","display_name":"Simple Knowledge Organization System","score":0.5392460227012634},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5270707011222839},{"id":"https://openalex.org/keywords/linked-data","display_name":"Linked data","score":0.5025265216827393},{"id":"https://openalex.org/keywords/joins","display_name":"Joins","score":0.4980635643005371},{"id":"https://openalex.org/keywords/jaccard-index","display_name":"Jaccard index","score":0.45747068524360657},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.43453115224838257},{"id":"https://openalex.org/keywords/rdf/xml","display_name":"RDF/XML","score":0.4317364990711212},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32862478494644165},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.29159730672836304},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.2268047332763672},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15701749920845032},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.14826995134353638},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.11743557453155518},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.08648622035980225}],"concepts":[{"id":"https://openalex.org/C41009113","wikidata":"https://www.wikidata.org/wiki/Q54871","display_name":"SPARQL","level":4,"score":0.9639690518379211},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8622878193855286},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.8382025361061096},{"id":"https://openalex.org/C3115412","wikidata":"https://www.wikidata.org/wiki/Q1194708","display_name":"Bitmap","level":2,"score":0.6461700201034546},{"id":"https://openalex.org/C15657843","wikidata":"https://www.wikidata.org/wiki/Q1751819","display_name":"RDF Schema","level":5,"score":0.5610687136650085},{"id":"https://openalex.org/C96956885","wikidata":"https://www.wikidata.org/wiki/Q6138701","display_name":"RDF query language","level":5,"score":0.5543575882911682},{"id":"https://openalex.org/C29321653","wikidata":"https://www.wikidata.org/wiki/Q2288360","display_name":"Simple Knowledge Organization System","level":5,"score":0.5392460227012634},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5270707011222839},{"id":"https://openalex.org/C69075417","wikidata":"https://www.wikidata.org/wiki/Q515701","display_name":"Linked data","level":3,"score":0.5025265216827393},{"id":"https://openalex.org/C2778692605","wikidata":"https://www.wikidata.org/wiki/Q4041866","display_name":"Joins","level":2,"score":0.4980635643005371},{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.45747068524360657},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.43453115224838257},{"id":"https://openalex.org/C78923513","wikidata":"https://www.wikidata.org/wiki/Q2115","display_name":"RDF/XML","level":5,"score":0.4317364990711212},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32862478494644165},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.29159730672836304},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2268047332763672},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15701749920845032},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.14826995134353638},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.11743557453155518},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.08648622035980225},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-22351-8_30","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-22351-8_30","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W83839346","https://openalex.org/W1501548698","https://openalex.org/W1527137792","https://openalex.org/W1541424754","https://openalex.org/W1565330601","https://openalex.org/W1634360435","https://openalex.org/W1989009626","https://openalex.org/W2003421875","https://openalex.org/W2006810566","https://openalex.org/W2015191210","https://openalex.org/W2022166150","https://openalex.org/W2041325018","https://openalex.org/W2055496004","https://openalex.org/W2089247435","https://openalex.org/W2111576850","https://openalex.org/W2113414933","https://openalex.org/W2114544510","https://openalex.org/W2134356404","https://openalex.org/W2135577024","https://openalex.org/W2137051649","https://openalex.org/W2140182861","https://openalex.org/W2140613126","https://openalex.org/W2143100570","https://openalex.org/W2148522916","https://openalex.org/W2161291780","https://openalex.org/W2161584750","https://openalex.org/W2161694911","https://openalex.org/W2168849769","https://openalex.org/W2242459625","https://openalex.org/W3138713763"],"related_works":["https://openalex.org/W2316359368","https://openalex.org/W3013807178","https://openalex.org/W4301152651","https://openalex.org/W3082761338","https://openalex.org/W3171256892","https://openalex.org/W3095079208","https://openalex.org/W3093217297","https://openalex.org/W2563388676","https://openalex.org/W129712061","https://openalex.org/W1989267929"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
