{"id":"https://openalex.org/W4400910142","doi":"https://doi.org/10.1109/icde60146.2024.00448","title":"BIFROST: A Future Graph Database Runtime","display_name":"BIFROST: A Future Graph Database Runtime","publication_year":2024,"publication_date":"2024-05-13","ids":{"openalex":"https://openalex.org/W4400910142","doi":"https://doi.org/10.1109/icde60146.2024.00448"},"language":"en","primary_location":{"id":"doi:10.1109/icde60146.2024.00448","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icde60146.2024.00448","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 40th International Conference on Data Engineering (ICDE)","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/A5099161775","display_name":"James Clarkson","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"James Clarkson","raw_affiliation_strings":["Neo4j,London,UK"],"affiliations":[{"raw_affiliation_string":"Neo4j,London,UK","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099161774","display_name":"Georgios Theodorakis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Georgios Theodorakis","raw_affiliation_strings":["Neo4j,London,UK"],"affiliations":[{"raw_affiliation_string":"Neo4j,London,UK","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113435607","display_name":"Jim Webber","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jim Webber","raw_affiliation_strings":["Neo4j,London,UK"],"affiliations":[{"raw_affiliation_string":"Neo4j,London,UK","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5099161775"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2624,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51090354,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"11","issue":null,"first_page":"5605","last_page":"5613"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9782999753952026,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9713000059127808,"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":0.8165420293807983},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.6061205863952637},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48830485343933105},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.4648441672325134},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.34714215993881226},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34559860825538635}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8165420293807983},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.6061205863952637},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48830485343933105},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.4648441672325134},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.34714215993881226},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34559860825538635}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icde60146.2024.00448","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icde60146.2024.00448","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 40th International Conference on Data Engineering (ICDE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W38802060","https://openalex.org/W1571150310","https://openalex.org/W1982003698","https://openalex.org/W2069902027","https://openalex.org/W2077443691","https://openalex.org/W2091228796","https://openalex.org/W2099035968","https://openalex.org/W2106771621","https://openalex.org/W2124851765","https://openalex.org/W2145124007","https://openalex.org/W2170616854","https://openalex.org/W2244843312","https://openalex.org/W2247317079","https://openalex.org/W2282396894","https://openalex.org/W2296407087","https://openalex.org/W2340838390","https://openalex.org/W2430301697","https://openalex.org/W2432978112","https://openalex.org/W2482213519","https://openalex.org/W2504042033","https://openalex.org/W2556970231","https://openalex.org/W2566979091","https://openalex.org/W2731881248","https://openalex.org/W2782087530","https://openalex.org/W2798416929","https://openalex.org/W2799059383","https://openalex.org/W2806056912","https://openalex.org/W2953384591","https://openalex.org/W3013316555","https://openalex.org/W3046148182","https://openalex.org/W3108071319","https://openalex.org/W3139115194","https://openalex.org/W3170258204","https://openalex.org/W3170874851","https://openalex.org/W3196324538","https://openalex.org/W4214582717","https://openalex.org/W4240151465","https://openalex.org/W4244768633","https://openalex.org/W4286447321","https://openalex.org/W4287865415","https://openalex.org/W4288623427","https://openalex.org/W4307886860","https://openalex.org/W4385848430","https://openalex.org/W4386768611","https://openalex.org/W6675475508","https://openalex.org/W6679507443","https://openalex.org/W6682867524","https://openalex.org/W6745424808","https://openalex.org/W6749517811","https://openalex.org/W6763982234","https://openalex.org/W6803248943","https://openalex.org/W6839719505"],"related_works":["https://openalex.org/W2003932708","https://openalex.org/W1967424056","https://openalex.org/W2284877871","https://openalex.org/W2138102289","https://openalex.org/W978295669","https://openalex.org/W868043274","https://openalex.org/W3115442681","https://openalex.org/W2007838763","https://openalex.org/W2391000461","https://openalex.org/W2972311463"],"abstract_inverted_index":{"BIFROST":[0],"is":[1,44],"a":[2],"novel":[3],"query":[4,62,93],"engine":[5],"for":[6,39,71,92],"graph":[7,18,31],"databases":[8],"that":[9,87],"supports":[10],"high-fidelity":[11],"data":[12],"modeling":[13],"on":[14,89],"arbitrary":[15],"and":[16,58,64,78,95],"evolving":[17],"topologies.":[19],"It":[20],"dynamically":[21],"optimizes":[22],"queries":[23],"according":[24],"to":[25,60,84],"meta-level":[26],"changes":[27,33],"in":[28,34],"the":[29,37],"underlying":[30],"(i.e.":[32],"topology)":[35],"without":[36],"need":[38],"any":[40],"explicit":[41],"schema.":[42],"This":[43],"possible":[45],"by":[46],"using":[47],"state-of-the-art":[48],"techniques":[49],"from":[50],"managed":[51],"programming":[52],"languages,":[53],"such":[54],"as":[55],"self-optimizing":[56],"ASTs":[57],"deoptimization,":[59],"combine":[61],"optimization":[63],"compilation.":[65],"The":[66],"approach":[67],"provides":[68],"high":[69],"fidelity":[70],"even":[72],"highly":[73],"irregular":[74],"labeled":[75],"property":[76],"graphs":[77],"gives":[79],"good":[80],"performance":[81],"when":[82],"compared":[83],"other":[85],"systems":[86],"depend":[88],"fixed":[90],"schemas":[91],"planning":[94],"optimization.":[96]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}