{"id":"https://openalex.org/W2108220022","doi":"https://doi.org/10.1109/icde.2011.5767899","title":"Massively parallel XML twig filtering using dynamic programming on FPGAs","display_name":"Massively parallel XML twig filtering using dynamic programming on FPGAs","publication_year":2011,"publication_date":"2011-04-01","ids":{"openalex":"https://openalex.org/W2108220022","doi":"https://doi.org/10.1109/icde.2011.5767899","mag":"2108220022"},"language":"en","primary_location":{"id":"doi:10.1109/icde.2011.5767899","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2011.5767899","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE 27th International Conference on Data Engineering","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/A5021907188","display_name":"Roger Moussalli","orcid":null},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Roger Moussalli","raw_affiliation_strings":["University of California, Riverside, CA, USA","University of California, Riverside, 92521, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]},{"raw_affiliation_string":"University of California, Riverside, 92521, USA","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034687136","display_name":"Mariam Salloum","orcid":"https://orcid.org/0000-0002-8438-339X"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mariam Salloum","raw_affiliation_strings":["University of California, Riverside, CA, USA","University of California, Riverside, 92521, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]},{"raw_affiliation_string":"University of California, Riverside, 92521, USA","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033921328","display_name":"Walid Najjar","orcid":"https://orcid.org/0000-0001-6761-6801"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Walid Najjar","raw_affiliation_strings":["University of California, Riverside, CA, USA","University of California, Riverside, 92521, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]},{"raw_affiliation_string":"University of California, Riverside, 92521, USA","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000947547","display_name":"Vassilis J. Tsotras","orcid":"https://orcid.org/0000-0001-5462-9451"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vassilis J. Tsotras","raw_affiliation_strings":["University of California, Riverside, CA, USA","University of California, Riverside, 92521, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]},{"raw_affiliation_string":"University of California, Riverside, 92521, USA","institution_ids":["https://openalex.org/I103635307"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5021907188"],"corresponding_institution_ids":["https://openalex.org/I103635307"],"apc_list":null,"apc_paid":null,"fwci":5.2511,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.95742168,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"948","last_page":"959"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.9995999932289124,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9968000054359436,"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":0.996399998664856,"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":0.8801107406616211},{"id":"https://openalex.org/keywords/twig","display_name":"Twig","score":0.7620998024940491},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.6550050377845764},{"id":"https://openalex.org/keywords/xml","display_name":"XML","score":0.601814329624176},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.5059842467308044},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.49044057726860046},{"id":"https://openalex.org/keywords/xml-framework","display_name":"XML framework","score":0.4831201732158661},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.47786539793014526},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4659012258052826},{"id":"https://openalex.org/keywords/massively-parallel","display_name":"Massively parallel","score":0.4526706039905548},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4429889917373657},{"id":"https://openalex.org/keywords/bloom-filter","display_name":"Bloom filter","score":0.4260198175907135},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.41142377257347107},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3513532280921936},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1980011761188507},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.16261637210845947},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15595242381095886},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.15565147995948792},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.11614581942558289}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8801107406616211},{"id":"https://openalex.org/C2777601135","wikidata":"https://www.wikidata.org/wiki/Q11162356","display_name":"Twig","level":2,"score":0.7620998024940491},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.6550050377845764},{"id":"https://openalex.org/C8797682","wikidata":"https://www.wikidata.org/wiki/Q2115","display_name":"XML","level":2,"score":0.601814329624176},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.5059842467308044},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.49044057726860046},{"id":"https://openalex.org/C21761406","wikidata":"https://www.wikidata.org/wiki/Q8042330","display_name":"XML framework","level":3,"score":0.4831201732158661},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.47786539793014526},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4659012258052826},{"id":"https://openalex.org/C190475519","wikidata":"https://www.wikidata.org/wiki/Q544384","display_name":"Massively parallel","level":2,"score":0.4526706039905548},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4429889917373657},{"id":"https://openalex.org/C147224247","wikidata":"https://www.wikidata.org/wiki/Q885373","display_name":"Bloom filter","level":2,"score":0.4260198175907135},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.41142377257347107},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3513532280921936},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1980011761188507},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.16261637210845947},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15595242381095886},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.15565147995948792},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.11614581942558289},{"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/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C144027150","wikidata":"https://www.wikidata.org/wiki/Q48803","display_name":"Horticulture","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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":1,"locations":[{"id":"doi:10.1109/icde.2011.5767899","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2011.5767899","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE 27th International Conference on Data Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W92980254","https://openalex.org/W174869497","https://openalex.org/W1749554492","https://openalex.org/W1964356327","https://openalex.org/W1969783316","https://openalex.org/W1971405342","https://openalex.org/W1979315462","https://openalex.org/W2032852272","https://openalex.org/W2045478235","https://openalex.org/W2059285029","https://openalex.org/W2062482216","https://openalex.org/W2082695854","https://openalex.org/W2083308531","https://openalex.org/W2085587826","https://openalex.org/W2098931293","https://openalex.org/W2103185791","https://openalex.org/W2107683037","https://openalex.org/W2112795577","https://openalex.org/W2114746386","https://openalex.org/W2117020831","https://openalex.org/W2117987151","https://openalex.org/W2124935488","https://openalex.org/W2126443246","https://openalex.org/W2129097092","https://openalex.org/W2135611729","https://openalex.org/W2135992300","https://openalex.org/W2137218888","https://openalex.org/W2141375288","https://openalex.org/W2151224499","https://openalex.org/W2154118576","https://openalex.org/W2158477395","https://openalex.org/W2161761794","https://openalex.org/W4212782655","https://openalex.org/W4244902946","https://openalex.org/W4285719527","https://openalex.org/W6637798150","https://openalex.org/W6641242118","https://openalex.org/W6677324380","https://openalex.org/W6683411934"],"related_works":["https://openalex.org/W2127784084","https://openalex.org/W2950578529","https://openalex.org/W2086416962","https://openalex.org/W4383553080","https://openalex.org/W2155669648","https://openalex.org/W4293879742","https://openalex.org/W2212047860","https://openalex.org/W2167538128","https://openalex.org/W2148425737","https://openalex.org/W4300824226"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"XML-based":[3],"Publish-Subscribe":[4],"Systems":[5],"have":[6],"become":[7],"popular":[8],"due":[9],"to":[10,42,53,67,79,88],"the":[11,24,29,36,38,43,47,93,123,126,130,133,161,166],"increased":[12],"demand":[13],"of":[14,28,49,70,82,96,122,125,132,142,145,168,171,174],"timely":[15],"event-notification.":[16],"Users":[17],"(or":[18],"subscribers)":[19],"pose":[20],"complex":[21],"profiles":[22],"on":[23,73,111],"structure":[25],"and":[26,117,151,165,178],"content":[27,51],"published":[30,50],"messages.":[31],"If":[32],"a":[33,64,102],"profile":[34],"matches":[35],"message,":[37],"message":[39],"is":[40,120],"forwarded":[41],"interested":[44],"subscriber.":[45],"As":[46],"amount":[48],"continues":[52],"grow,":[54],"current":[55],"software-based":[56],"systems":[57],"will":[58],"not":[59],"scale.":[60],"We":[61],"thus":[62],"propose":[63],"novel":[65,103],"architecture":[66],"exploit":[68],"parallelism":[69],"twig":[71,109,146],"matching":[72,110,169],"FPGAs.":[74],"This":[75,99],"approach":[76],"yields":[77],"up":[78],"three":[80],"orders":[81],"magnitude":[83],"higher":[84],"throughput":[85,119],"when":[86],"compared":[87],"conventional":[89],"approaches":[90],"bound":[91],"by":[92],"sequential":[94],"aspect":[95],"software":[97],"computing.":[98],"paper,":[100],"presents":[101],"method":[104],"for":[105],"performing":[106],"unordered":[107],"holistic":[108],"FPGAs":[112],"without":[113],"any":[114],"false":[115,172],"positives,":[116],"whose":[118],"independent":[121],"complexity":[124],"user":[127],"queries":[128],"or":[129,154],"characteristics":[131],"input":[134],"XML":[135],"stream.":[136],"Furthermore,":[137],"we":[138],"present":[139],"experimental":[140],"comparison":[141],"different":[143],"granularities":[144],"matching,":[147],"namely":[148],"path-based":[149,177],"(root-to-leaf)":[150],"pair-based":[152,179],"(parent-child":[153],"ancestor-descendant).We":[155],"provide":[156],"comprehensive":[157],"experiments":[158],"that":[159],"compare":[160],"throughput,":[162],"area":[163],"utilization":[164],"accuracy":[167],"(percent":[170],"positives)":[173],"our":[175],"holistic,":[176],"FPGA":[180],"approaches.":[181]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}