{"id":"https://openalex.org/W4407057168","doi":"https://doi.org/10.1145/3705374.3705375","title":"Construction of Multi modal Information Knowledge Graph for E-commmerce Products Based on Pre-trained Model","display_name":"Construction of Multi modal Information Knowledge Graph for E-commmerce Products Based on Pre-trained Model","publication_year":2024,"publication_date":"2024-11-15","ids":{"openalex":"https://openalex.org/W4407057168","doi":"https://doi.org/10.1145/3705374.3705375"},"language":"en","primary_location":{"id":"doi:10.1145/3705374.3705375","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3705374.3705375","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 8th International Conference on Computing and Data Analysis","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":null,"display_name":"Zonglin Li","orcid":"https://orcid.org/0009-0005-8970-2651"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zonglin Li","raw_affiliation_strings":["Shandong University, Weihai, China"],"raw_orcid":"https://orcid.org/0009-0005-8970-2651","affiliations":[{"raw_affiliation_string":"Shandong University, Weihai, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23751767,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9399999976158142,"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"}},"topics":[{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9399999976158142,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9258999824523926,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9172000288963318,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7172784805297852},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6605002880096436},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5514460802078247},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4560548961162567},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.43311020731925964},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38486069440841675},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37719449400901794},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.31283459067344666},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14519697427749634},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.07690387964248657},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.06262814998626709}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7172784805297852},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6605002880096436},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5514460802078247},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4560548961162567},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.43311020731925964},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38486069440841675},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37719449400901794},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.31283459067344666},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14519697427749634},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.07690387964248657},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.06262814998626709},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3705374.3705375","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3705374.3705375","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 8th International Conference on Computing and Data Analysis","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":6,"referenced_works":["https://openalex.org/W1491037026","https://openalex.org/W1514386572","https://openalex.org/W2323469568","https://openalex.org/W3092965216","https://openalex.org/W4406356908","https://openalex.org/W6927648661"],"related_works":["https://openalex.org/W2379392295","https://openalex.org/W3160965418","https://openalex.org/W613940353","https://openalex.org/W2320915480","https://openalex.org/W2362990116","https://openalex.org/W2532801570","https://openalex.org/W4385627933","https://openalex.org/W2480127678","https://openalex.org/W2806270048","https://openalex.org/W4310605282"],"abstract_inverted_index":{"Social":[0],"media":[1,43],"platforms":[2],"have":[3],"become":[4],"significant":[5],"channels":[6],"for":[7,21,28],"the":[8,74,84,102],"public":[9],"to":[10,60,87,143],"express":[11],"their":[12,147],"opinions,":[13],"and":[14,50,63,69,78,125,149],"consumers'":[15],"shared":[16],"shopping":[17],"experiences":[18],"are":[19,81],"crucial":[20],"consumer":[22],"purchase":[23],"decisions":[24],"as":[25,27,58,95],"well":[26],"merchants'":[29],"product":[30,38,138],"improvements.":[31],"This":[32],"study":[33],"focuses":[34],"on":[35],"capturing":[36],"e-commerce":[37],"information":[39],"from":[40],"popular":[41],"social":[42],"platforms,":[44],"converting":[45],"video":[46],"data":[47,77,80],"into":[48],"image":[49,62],"text":[51,64],"forms,":[52],"using":[53,114,122,130],"pre":[54,105,115,119,127],"trained":[55,106,116,120,128],"models":[56,107,121,129],"such":[57],"CNN":[59],"extract":[61],"features,":[65],"achieving":[66],"modal":[67],"transformation,":[68],"constructing":[70],"entity":[71],"relationships.":[72],"Ultimately,":[73,134],"integrated":[75],"multi-modal":[76],"cross-platform":[79],"stored":[82],"in":[83,108,152],"Neo4j":[85],"database":[86],"build":[88],"a":[89,135],"knowledge":[90,110,139],"graph.":[91],"Taking":[92],"footwear":[93,137],"products":[94,148],"an":[96],"example,":[97],"this":[98],"article":[99],"further":[100],"practices":[101],"application":[103],"of":[104],"building":[109],"graphs,":[111],"including":[112],"directly":[113],"models,":[117],"fine-tuning":[118,126],"existing":[123],"datasets,":[124],"manually":[131],"annotated":[132],"datasets.":[133],"multimodal":[136],"graph":[140],"is":[141],"constructed":[142],"help":[144],"businesses":[145],"improve":[146],"assist":[150],"consumers":[151],"making":[153],"purchasing":[154],"decisions.":[155]},"counts_by_year":[],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
