{"id":"https://openalex.org/W4379622702","doi":"https://doi.org/10.1145/3555776.3577700","title":"Relation Modeling on Knowledge Graph for Interoperability in Recommender Systems","display_name":"Relation Modeling on Knowledge Graph for Interoperability in Recommender Systems","publication_year":2023,"publication_date":"2023-03-27","ids":{"openalex":"https://openalex.org/W4379622702","doi":"https://doi.org/10.1145/3555776.3577700"},"language":"en","primary_location":{"id":"doi:10.1145/3555776.3577700","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3555776.3577700","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5022074861","display_name":"Seungjoo Lee","orcid":"https://orcid.org/0000-0003-2657-411X"},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seungjoo Lee","raw_affiliation_strings":["Inha University, Incheon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-2657-411X","affiliations":[{"raw_affiliation_string":"Inha University, Incheon, Republic of Korea","institution_ids":["https://openalex.org/I191879574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062434102","display_name":"Seokho Ahn","orcid":"https://orcid.org/0000-0002-5715-4057"},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seokho Ahn","raw_affiliation_strings":["Inha University, Incheon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-5715-4057","affiliations":[{"raw_affiliation_string":"Inha University, Incheon, Republic of Korea","institution_ids":["https://openalex.org/I191879574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038350029","display_name":"Young-Duk Seo","orcid":"https://orcid.org/0000-0001-8542-2058"},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"YoungDuk Seo","raw_affiliation_strings":["Inha University, Incheon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-8542-2058","affiliations":[{"raw_affiliation_string":"Inha University, Incheon, Republic of Korea","institution_ids":["https://openalex.org/I191879574"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I191879574"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"751","last_page":"758"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9984999895095825,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9853000044822693,"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/interoperability","display_name":"Interoperability","score":0.9161531925201416},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.8734525442123413},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8389769196510315},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6451764702796936},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5998006463050842},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5650416612625122},{"id":"https://openalex.org/keywords/semantic-interoperability","display_name":"Semantic interoperability","score":0.5158302187919617},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.488412082195282},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36044639348983765},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.357349157333374},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3389178514480591},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.29021650552749634},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2524443566799164},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.18843597173690796}],"concepts":[{"id":"https://openalex.org/C20136886","wikidata":"https://www.wikidata.org/wiki/Q749647","display_name":"Interoperability","level":2,"score":0.9161531925201416},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8734525442123413},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8389769196510315},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6451764702796936},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5998006463050842},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5650416612625122},{"id":"https://openalex.org/C192800085","wikidata":"https://www.wikidata.org/wiki/Q5258530","display_name":"Semantic interoperability","level":3,"score":0.5158302187919617},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.488412082195282},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36044639348983765},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.357349157333374},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3389178514480591},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29021650552749634},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2524443566799164},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.18843597173690796}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3555776.3577700","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3555776.3577700","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing","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":26,"referenced_works":["https://openalex.org/W103340358","https://openalex.org/W1491841196","https://openalex.org/W1506806321","https://openalex.org/W1984195611","https://openalex.org/W2019491302","https://openalex.org/W2041993046","https://openalex.org/W2045745608","https://openalex.org/W2090621269","https://openalex.org/W2478368149","https://openalex.org/W2592804878","https://openalex.org/W2605350416","https://openalex.org/W2757344433","https://openalex.org/W2893775232","https://openalex.org/W2913560138","https://openalex.org/W2945623882","https://openalex.org/W2966349618","https://openalex.org/W2982108874","https://openalex.org/W2982574009","https://openalex.org/W3029587262","https://openalex.org/W3035566692","https://openalex.org/W3039406656","https://openalex.org/W3093922720","https://openalex.org/W3106439716","https://openalex.org/W4200399716","https://openalex.org/W4225979812","https://openalex.org/W4226103496"],"related_works":["https://openalex.org/W4386953431","https://openalex.org/W2355850745","https://openalex.org/W2109385585","https://openalex.org/W2157800466","https://openalex.org/W2388051831","https://openalex.org/W4292980915","https://openalex.org/W2531681040","https://openalex.org/W2908350895","https://openalex.org/W3209454962","https://openalex.org/W2885367039"],"abstract_inverted_index":{"Network":[0],"technology":[1],"has":[2,75],"changed":[3],"how":[4],"people":[5],"consume":[6],"content":[7],"through":[8,116],"various":[9],"channels,":[10],"which":[11,87],"constantly":[12],"generate":[13],"a":[14],"large":[15],"amount":[16],"of":[17,44,121,140],"data.":[18,94],"To":[19],"effectively":[20],"utilize":[21],"this":[22,135],"data,":[23],"many":[24],"researchers":[25],"have":[26,49,60],"focused":[27],"on":[28],"interoperability,":[29],"or":[30],"the":[31,42,113,127,138],"ability":[32,64],"to":[33,65],"use":[34],"information":[35],"from":[36],"multiple":[37,102],"systems":[38,59,103],"together.":[39],"However,":[40],"in":[41,57,62],"field":[43],"recommender":[45,58,85],"systems,":[46,86],"few":[47],"studies":[48],"considered":[50],"interoperability.":[51],"Existing":[52],"methods":[53],"for":[54,69,82,91,101,105,126],"guaranteeing":[55],"interoperability":[56,81,125],"limitations":[61],"their":[63],"model":[66],"low-order":[67],"relationships":[68],"data":[70],"integration.":[71],"In":[72],"particular,":[73],"there":[74],"been":[76],"no":[77],"study":[78],"that":[79,134],"ensures":[80],"knowledge":[83,106,114],"graph-based":[84,107],"are":[88],"suitable":[89],"structures":[90],"integrating":[92],"heterogeneous":[93],"Therefore,":[95],"we":[96],"propose":[97],"an":[98],"integration":[99],"method":[100,110,136],"optimized":[104],"learning.":[108],"This":[109],"can":[111],"extend":[112],"graph":[115],"deep":[117],"learning-based":[118],"relation":[119],"modeling":[120],"entities":[122],"and":[123],"ensure":[124],"recommendation":[128,142],"system.":[129],"Our":[130],"experimental":[131],"results":[132],"confirm":[133],"improves":[137],"performance":[139],"existing":[141],"algorithms.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}