{"id":"https://openalex.org/W2120201091","doi":"https://doi.org/10.1145/1929934.1929937","title":"Query-preserving watermarking of relational databases and Xml documents","display_name":"Query-preserving watermarking of relational databases and Xml documents","publication_year":2011,"publication_date":"2011-03-01","ids":{"openalex":"https://openalex.org/W2120201091","doi":"https://doi.org/10.1145/1929934.1929937","mag":"2120201091"},"language":"en","primary_location":{"id":"doi:10.1145/1929934.1929937","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1929934.1929937","pdf_url":null,"source":{"id":"https://openalex.org/S90119964","display_name":"ACM Transactions on Database Systems","issn_l":"0362-5915","issn":["0362-5915","1557-4644"],"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":"ACM Transactions on Database Systems","raw_type":"journal-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/A5052870974","display_name":"David Gross-Amblard","orcid":"https://orcid.org/0000-0002-6680-2837"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210126360","display_name":"Centre Inria de Saclay","ror":"https://ror.org/0315e5x55","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210126360"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"David Gross-AMBLARD","raw_affiliation_strings":["Le2i CNRS-U Bourgogne, DIJON CEDEX, France and INRIA Saclay, Paris"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Le2i CNRS-U Bourgogne, DIJON CEDEX, France and INRIA Saclay, Paris","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210126360"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052870974"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210126360"],"apc_list":null,"apc_paid":null,"fwci":2.3835,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.88934148,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"36","issue":"1","first_page":"1","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9994000196456909,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9991999864578247,"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":0.8617400527000427},{"id":"https://openalex.org/keywords/digital-watermarking","display_name":"Digital watermarking","score":0.7482477426528931},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.6250811815261841},{"id":"https://openalex.org/keywords/xml","display_name":"XML","score":0.5661822557449341},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.4708998501300812},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.4152980446815491},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.406686395406723},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3524150550365448},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11990219354629517},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11692878603935242},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.07746848464012146}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8617400527000427},{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.7482477426528931},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.6250811815261841},{"id":"https://openalex.org/C8797682","wikidata":"https://www.wikidata.org/wiki/Q2115","display_name":"XML","level":2,"score":0.5661822557449341},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.4708998501300812},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.4152980446815491},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.406686395406723},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3524150550365448},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11990219354629517},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11692878603935242},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.07746848464012146}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1929934.1929937","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1929934.1929937","pdf_url":null,"source":{"id":"https://openalex.org/S90119964","display_name":"ACM Transactions on Database Systems","issn_l":"0362-5915","issn":["0362-5915","1557-4644"],"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":"ACM Transactions on Database Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G120984652","display_name":null,"funder_award_id":"FP7/2007/2013","funder_id":"https://openalex.org/F4320334678","funder_display_name":"European Research Council"},{"id":"https://openalex.org/G5616780672","display_name":null,"funder_award_id":"226513","funder_id":"https://openalex.org/F4320334678","funder_display_name":"European Research Council"}],"funders":[{"id":"https://openalex.org/F4320334678","display_name":"European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W97736718","https://openalex.org/W1482650226","https://openalex.org/W1517150411","https://openalex.org/W1521839253","https://openalex.org/W1597941282","https://openalex.org/W1970599921","https://openalex.org/W1973943091","https://openalex.org/W1975880448","https://openalex.org/W1976078723","https://openalex.org/W1981870753","https://openalex.org/W1989159706","https://openalex.org/W1996805091","https://openalex.org/W1998084650","https://openalex.org/W2002414470","https://openalex.org/W2019363670","https://openalex.org/W2029138494","https://openalex.org/W2031722321","https://openalex.org/W2038225707","https://openalex.org/W2039690308","https://openalex.org/W2045916776","https://openalex.org/W2046652577","https://openalex.org/W2063981365","https://openalex.org/W2082372600","https://openalex.org/W2083122891","https://openalex.org/W2085767783","https://openalex.org/W2092681991","https://openalex.org/W2100006909","https://openalex.org/W2100913369","https://openalex.org/W2113842060","https://openalex.org/W2114249920","https://openalex.org/W2115826669","https://openalex.org/W2133531446","https://openalex.org/W2136078037","https://openalex.org/W2145419924","https://openalex.org/W2154952480","https://openalex.org/W2611745365","https://openalex.org/W3023896661"],"related_works":["https://openalex.org/W1788528807","https://openalex.org/W2098306546","https://openalex.org/W2361533086","https://openalex.org/W188567224","https://openalex.org/W1557440484","https://openalex.org/W2893738567","https://openalex.org/W1541541441","https://openalex.org/W2091192301","https://openalex.org/W2014415869","https://openalex.org/W2161902337"],"abstract_inverted_index":{"Watermarking":[0],"allows":[1],"robust":[2],"and":[3,42,95,116],"unobtrusive":[4],"insertion":[5,30],"of":[6,44,54,63,97,145],"information":[7,29],"in":[8,66,134],"a":[9,33,61,67],"digital":[10],"document.":[11],"During":[12],"the":[13,40,52,138],"last":[14],"few":[15],"years,":[16],"techniques":[17],"have":[18],"been":[19],"proposed":[20],"for":[21],"watermarking":[22,55,102],"relational":[23],"databases":[24,56,80],"or":[25,57,123],"Xml":[26,58],"documents,":[27],"where":[28],"must":[31],"preserve":[32],"specific":[34],"measure":[35],"on":[36,109,121],"data":[37],"(for":[38],"example":[39],"mean":[41],"variance":[43],"numerical":[45],"attributes).":[46],"In":[47],"this":[48],"article":[49],"we":[50],"investigate":[51],"problem":[53],"while":[59,85],"preserving":[60,86],"set":[62],"parametric":[64,88],"queries":[65,120],"specified":[68],"language,":[69],"up":[70],"to":[71,130],"an":[72,131],"acceptable":[73],"distortion.":[74],"We":[75,90,126,140],"first":[76],"show":[77],"that":[78,99],"unrestricted":[79],"can":[81],"not":[82],"be":[83],"watermarked":[84],"trivial":[87],"queries.":[89],"then":[91],"exhibit":[92],"query":[93,107],"languages":[94,108],"classes":[96],"structures":[98,110],"allow":[100],"guaranteed":[101],"capacity,":[103],"namely":[104],"1)":[105],"local":[106],"with":[111],"bounded":[112],"degree":[113],"Gaifman":[114],"graph,":[115],"2)":[117],"monadic":[118],"second-order":[119],"trees":[122],"treelike":[124],"structures.":[125],"relate":[127],"these":[128],"results":[129],"important":[132],"topic":[133],"computational":[135],"learning":[136],"theory,":[137],"VC-dimension.":[139],"finally":[141],"consider":[142],"incremental":[143],"aspects":[144],"query-preserving":[146],"watermarking.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}