{"id":"https://openalex.org/W4395701821","doi":"https://doi.org/10.1145/3603287.3651199","title":"Encoding Feature Models in Neo4j Graph Database","display_name":"Encoding Feature Models in Neo4j Graph Database","publication_year":2024,"publication_date":"2024-04-18","ids":{"openalex":"https://openalex.org/W4395701821","doi":"https://doi.org/10.1145/3603287.3651199"},"language":"en","primary_location":{"id":"doi:10.1145/3603287.3651199","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3603287.3651199","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 ACM Southeast Conference on ZZZ","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/A5074663163","display_name":"Hazim Shatnawi","orcid":"https://orcid.org/0009-0006-8456-5288"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hazim Shatnawi","raw_affiliation_strings":["The George Washington University, Washington, D.C., USA"],"raw_orcid":"https://orcid.org/0009-0006-8456-5288","affiliations":[{"raw_affiliation_string":"The George Washington University, Washington, D.C., USA","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078131344","display_name":"Jamil Saquer","orcid":"https://orcid.org/0009-0006-7948-8409"},"institutions":[{"id":"https://openalex.org/I119942284","display_name":"Missouri State University","ror":"https://ror.org/01d2sez20","country_code":"US","type":"education","lineage":["https://openalex.org/I119942284"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jamil Saquer","raw_affiliation_strings":["Missouri State University, Springfield, Missouri, USA"],"raw_orcid":"https://orcid.org/0009-0006-7948-8409","affiliations":[{"raw_affiliation_string":"Missouri State University, Springfield, Missouri, USA","institution_ids":["https://openalex.org/I119942284"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5074663163"],"corresponding_institution_ids":["https://openalex.org/I193531525"],"apc_list":null,"apc_paid":null,"fwci":0.4762,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60550537,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"157","last_page":"166"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9962999820709229,"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":0.9962999820709229,"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/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.989300012588501,"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"}},{"id":"https://openalex.org/T10772","display_name":"Distributed systems and fault tolerance","score":0.9891999959945679,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7786710262298584},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.6671813726425171},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.519045889377594},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47268253564834595},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4662448763847351},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37633031606674194},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.3617152273654938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2518596649169922}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7786710262298584},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.6671813726425171},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.519045889377594},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47268253564834595},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4662448763847351},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37633031606674194},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3617152273654938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2518596649169922},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3603287.3651199","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3603287.3651199","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 ACM Southeast Conference on ZZZ","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":12,"referenced_works":["https://openalex.org/W1501652040","https://openalex.org/W1527677027","https://openalex.org/W1967492606","https://openalex.org/W1971890097","https://openalex.org/W1995689188","https://openalex.org/W2134148450","https://openalex.org/W2495617574","https://openalex.org/W2613679728","https://openalex.org/W2783848321","https://openalex.org/W3206031176","https://openalex.org/W4200215464","https://openalex.org/W4253390732"],"related_works":["https://openalex.org/W4235381733","https://openalex.org/W2355022049","https://openalex.org/W2060429446","https://openalex.org/W2003932708","https://openalex.org/W1967424056","https://openalex.org/W2741782512","https://openalex.org/W3011302839","https://openalex.org/W3147584709","https://openalex.org/W3115442681","https://openalex.org/W2391000461"],"abstract_inverted_index":{"This":[0],"study":[1,139],"introduces":[2],"an":[3],"innovative":[4,129],"approach":[5],"to":[6,93],"encoding":[7,132],"and":[8,16,46,58,88,95,111,134],"analyzing":[9],"feature":[10,114],"models":[11,115],"within":[12],"the":[13,25,47,55,109,119,148],"Network":[14],"Exploration":[15],"Optimization":[17],"for":[18,121,144],"Java":[19],"(Neo4j)":[20],"graph":[21],"database,":[22],"significantly":[23],"enhancing":[24],"management":[26,125],"of":[27,38,60,113],"complex":[28,98],"Software":[29],"Product":[30],"Lines":[31],"(SPLs).":[32],"We":[33],"present":[34],"a":[35,105,141],"comparative":[36],"analysis":[37,112],"traditional":[39],"loading":[40,130],"techniques":[41,92],"against":[42],"Neo4j's":[43,78],"batch":[44],"importer":[45],"Awesome":[48],"Procedures":[49],"on":[50,77],"Cypher":[51],"(APOC)":[52],"library,":[53,83],"demonstrating":[54],"superior":[56],"efficiency":[57],"effectiveness":[59],"our":[61],"proposed":[62],"methods,":[63,137],"especially":[64],"in":[65,108,147],"handling":[66],"large":[67],"datasets.":[68],"Our":[69],"methodology":[70],"extends":[71],"beyond":[72],"mere":[73],"encoding;":[74],"it":[75],"capitalizes":[76],"Graph":[79],"Data":[80],"Science":[81],"(GDS)":[82],"employing":[84],"Depth-First":[85],"Search":[86],"(DFS)":[87],"other":[89],"advanced":[90],"traversal":[91,136],"navigate":[94],"manipulate":[96],"these":[97],"structures.":[99],"The":[100],"findings":[101],"reveal":[102],"not":[103],"only":[104],"significant":[106],"enhancement":[107],"processing":[110],"but":[116],"also":[117],"underscore":[118],"potential":[120],"more":[122],"sophisticated":[123],"SPL":[124],"strategies.":[126],"By":[127],"integrating":[128],"techniques,":[131],"strategies,":[133],"GDS":[135],"this":[138],"lays":[140],"robust":[142],"foundation":[143],"future":[145],"advancements":[146],"field.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
