{"id":"https://openalex.org/W2017306162","doi":"https://doi.org/10.1145/2383276.2383278","title":"Querying big data","display_name":"Querying big data","publication_year":2012,"publication_date":"2012-06-22","ids":{"openalex":"https://openalex.org/W2017306162","doi":"https://doi.org/10.1145/2383276.2383278","mag":"2017306162"},"language":"en","primary_location":{"id":"doi:10.1145/2383276.2383278","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2383276.2383278","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Computer Systems and Technologies","raw_type":"proceedings-article"},"type":"article","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/A5011127779","display_name":"Boris Novikov","orcid":"https://orcid.org/0000-0003-4657-0757"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Boris Novikov","raw_affiliation_strings":["Saint Petersburg University"],"affiliations":[{"raw_affiliation_string":"Saint Petersburg University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066061534","display_name":"Natalia Vassilieva","orcid":"https://orcid.org/0000-0003-3410-9277"},"institutions":[{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Natalia Vassilieva","raw_affiliation_strings":["Senior Researcher, HP Labs"],"affiliations":[{"raw_affiliation_string":"Senior Researcher, HP Labs","institution_ids":["https://openalex.org/I1324840837"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008443481","display_name":"Anna Yarygina","orcid":"https://orcid.org/0000-0003-2480-6589"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anna Yarygina","raw_affiliation_strings":["Saint Petersburg University"],"affiliations":[{"raw_affiliation_string":"Saint Petersburg University","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011127779"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4691,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.84957573,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9994999766349792,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9990000128746033,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/variety","display_name":"Variety (cybernetics)","score":0.8629856109619141},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.83101487159729},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7873739004135132},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.63237464427948},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.6283381581306458},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6238744854927063},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4410973787307739},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38000059127807617},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.31967198848724365},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22200840711593628}],"concepts":[{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.8629856109619141},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.83101487159729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7873739004135132},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.63237464427948},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6283381581306458},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6238744854927063},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4410973787307739},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38000059127807617},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31967198848724365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22200840711593628},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2383276.2383278","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2383276.2383278","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Computer Systems and Technologies","raw_type":"proceedings-article"}],"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/W1512304696","https://openalex.org/W1537280715","https://openalex.org/W1552950512","https://openalex.org/W1582875143","https://openalex.org/W1927503049","https://openalex.org/W1968378762","https://openalex.org/W1978604688","https://openalex.org/W1993572358","https://openalex.org/W2007147437","https://openalex.org/W2014214819","https://openalex.org/W2026815233","https://openalex.org/W2059267851","https://openalex.org/W2059752606","https://openalex.org/W2071163366","https://openalex.org/W2082424685","https://openalex.org/W2094320135","https://openalex.org/W2103459359","https://openalex.org/W2123966888","https://openalex.org/W2132716097","https://openalex.org/W2137418808","https://openalex.org/W2143361337","https://openalex.org/W2153030461","https://openalex.org/W2164264572","https://openalex.org/W2164570631","https://openalex.org/W2167429959","https://openalex.org/W2170907675","https://openalex.org/W2294626234","https://openalex.org/W2397066555","https://openalex.org/W2766000922","https://openalex.org/W4206606839"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W4394895745","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2910064364","https://openalex.org/W4200136508","https://openalex.org/W2499527417"],"abstract_inverted_index":{"The":[0],"term":[1],"\"Big":[2],"Data\"":[3],"became":[4],"a":[5,24,40,78],"buzzword":[6],"and":[7,14,31,42,50,60,72,82,85,106],"is":[8],"widely":[9],"used":[10,63],"in":[11,64,100],"both":[12],"research":[13,54],"industrial":[15],"worlds.":[16],"Typically":[17],"the":[18],"concept":[19],"of":[20,26,29,33,45,74,80,87],"big":[21,75],"data":[22,65,76],"assumes":[23],"variety":[25],"different":[27,92],"sources":[28],"information":[30],"velocity":[32],"complex":[34,88],"analytical":[35],"processing,":[36],"rather":[37],"than":[38],"just":[39],"huge":[41],"growing":[43],"volume":[44,51],"data.":[46],"All":[47],"variety,":[48],"velocity,":[49],"create":[52],"new":[53],"challenges,":[55],"as":[56],"nearly":[57],"all":[58],"techniques":[59],"tools":[61],"commonly":[62],"processing":[66],"have":[67],"to":[68,104],"be":[69],"re-considered.":[70],"Variety":[71],"uncertainty":[73],"require":[77],"mixture":[79],"exact":[81],"similarity":[83],"search":[84],"grouping":[86],"objects":[89],"based":[90],"on":[91],"attributes.":[93],"High-level":[94],"declarative":[95],"query":[96],"languages":[97],"are":[98],"important":[99],"this":[101],"context":[102],"due":[103],"expressiveness":[105],"potential":[107],"for":[108],"optimization.":[109]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
