{"id":"https://openalex.org/W4386365950","doi":"https://doi.org/10.18293/seke2023-100","title":"Combining Structure Embedding and Text Semantics for Efficient Knowledge Graph Completion","display_name":"Combining Structure Embedding and Text Semantics for Efficient Knowledge Graph Completion","publication_year":2023,"publication_date":"2023-07-01","ids":{"openalex":"https://openalex.org/W4386365950","doi":"https://doi.org/10.18293/seke2023-100"},"language":"en","primary_location":{"id":"doi:10.18293/seke2023-100","is_oa":true,"landing_page_url":"http://doi.org/10.18293/seke2023-100","pdf_url":"https://doi.org/10.18293/seke2023-100","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.18293/seke2023-100","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102638613","display_name":"Wen Lei Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wen Sun","raw_affiliation_strings":["School of Informatics School of Film Xiamen University Xiamen, China","School of Informatics Xiamen University Xiamen, China","School of Film Xiamen University Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Informatics School of Film Xiamen University Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"School of Informatics Xiamen University Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"School of Film Xiamen University Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100427047","display_name":"Yifan Li","orcid":"https://orcid.org/0009-0006-1222-7706"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Li","raw_affiliation_strings":["School of Informatics School of Film Xiamen University Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Informatics School of Film Xiamen University Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051198154","display_name":"Junfeng Yao","orcid":"https://orcid.org/0000-0002-2330-7406"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junfeng Yao","raw_affiliation_strings":["School of Informatics School of Film Xiamen University Xiamen, China","School of Film Xiamen University Xiamen, China","School of Informatics Xiamen University Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Informatics School of Film Xiamen University Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"School of Film Xiamen University Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"School of Informatics Xiamen University Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103008255","display_name":"Qingqiang Wu","orcid":"https://orcid.org/0000-0001-7428-5908"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingqiang Wu","raw_affiliation_strings":["School of Film Xiamen University Xiamen, China","School of Informatics School of Film Xiamen University Xiamen, China","School of Informatics Xiamen University Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Film Xiamen University Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"School of Informatics School of Film Xiamen University Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"School of Informatics Xiamen University Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066879706","display_name":"Kunhong Liu","orcid":"https://orcid.org/0000-0002-1222-8876"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kunhong Liu","raw_affiliation_strings":["School of Informatics Xiamen University Xiamen, China","School of Film Xiamen University Xiamen, China","School of Informatics School of Film Xiamen University Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Informatics Xiamen University Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"School of Film Xiamen University Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"School of Informatics School of Film Xiamen University Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102638613"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10958698,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2023","issue":null,"first_page":"317","last_page":"322"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998999834060669,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998999834060669,"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/T10028","display_name":"Topic Modeling","score":0.9994000196456909,"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/T11719","display_name":"Data Quality and Management","score":0.9787999987602234,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8253763318061829},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7596714496612549},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.7133270502090454},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6057437062263489},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.534704327583313},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.49033617973327637},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47295138239860535},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4046648144721985},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3314066529273987}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8253763318061829},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7596714496612549},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.7133270502090454},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6057437062263489},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.534704327583313},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.49033617973327637},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47295138239860535},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4046648144721985},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3314066529273987}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18293/seke2023-100","is_oa":true,"landing_page_url":"http://doi.org/10.18293/seke2023-100","pdf_url":"https://doi.org/10.18293/seke2023-100","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18293/seke2023-100","is_oa":true,"landing_page_url":"http://doi.org/10.18293/seke2023-100","pdf_url":"https://doi.org/10.18293/seke2023-100","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320325434","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386365950.pdf","grobid_xml":"https://content.openalex.org/works/W4386365950.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1533230146","https://openalex.org/W2127795553","https://openalex.org/W2184957013","https://openalex.org/W2206373005","https://openalex.org/W2283196293","https://openalex.org/W2432356473","https://openalex.org/W2728059831","https://openalex.org/W2807873315","https://openalex.org/W2890216969","https://openalex.org/W2896457183","https://openalex.org/W2909137510","https://openalex.org/W2949434543","https://openalex.org/W2965373594","https://openalex.org/W2972167903","https://openalex.org/W2987921940","https://openalex.org/W2997837621","https://openalex.org/W3003265726","https://openalex.org/W3012474999","https://openalex.org/W3032390337","https://openalex.org/W3117339789","https://openalex.org/W3155001903","https://openalex.org/W4285261975","https://openalex.org/W4309811444","https://openalex.org/W4385245566","https://openalex.org/W6718112784","https://openalex.org/W6739901393","https://openalex.org/W6740216407","https://openalex.org/W6767905578","https://openalex.org/W6796475582"],"related_works":["https://openalex.org/W2604454537","https://openalex.org/W2808284704","https://openalex.org/W2897702399","https://openalex.org/W4206028705","https://openalex.org/W2757431232","https://openalex.org/W2954554213","https://openalex.org/W2251363251","https://openalex.org/W4206547516","https://openalex.org/W4293236197","https://openalex.org/W2932872266"],"abstract_inverted_index":{"Knowledge":[0],"graph":[1,115,164],"completion":[2,165],"plays":[3],"a":[4,49,97],"crucial":[5],"role":[6],"in":[7,24],"downstream":[8],"applications.":[9],"However,":[10],"existing":[11],"methods":[12],"tend":[13],"to":[14,31,36,101,138],"only":[15],"rely":[16],"on":[17,68,161],"the":[18,60,77,103,113,124,142],"structure":[19],"or":[20],"textual":[21],"information,":[22],"resulting":[23],"suboptimal":[25],"model":[26,51,73,95,170],"performance.":[27],"Moreover,":[28],"recent":[29],"attempts":[30],"leverage":[32],"pre-trained":[33,69,81],"language":[34,70,82],"models":[35,83],"complete":[37],"knowledge":[38,61,79,114,163],"graphs":[39],"have":[40],"proved":[41],"unsatisfactory.":[42],"To":[43],"overcome":[44],"these":[45,147],"limitations,":[46],"we":[47,133],"propose":[48],"novel":[50],"that":[52,168],"combines":[53],"structural":[54],"embedding":[55,104,116],"and":[56,90,109,122,155],"semantic":[57,105,125],"information":[58,151],"of":[59,80,107,127,130,150],"graph.":[62],"Compared":[63],"with":[64],"previous":[65],"works":[66],"based":[67],"models,":[71],"our":[72,94,169],"can":[74],"better":[75],"use":[76],"implicit":[78],"by":[84,145],"using":[85],"relation":[86],"templates,":[87],"entity":[88],"definitions,":[89],"learnable":[91],"tokens.":[92],"Furthermore,":[93],"employs":[96],"multihead":[98],"attention":[99],"mechanism":[100],"transform":[102],"space":[106,126],"entities":[108],"relations":[110],"obtained":[111],"from":[112,141],"model,":[117],"thereby":[118],"enhancing":[119],"their":[120],"expressiveness":[121],"unifying":[123],"both":[128,174],"types":[129,149],"information.":[131],"Finally,":[132],"utilize":[134],"convolutional":[135],"neural":[136],"networks":[137],"extract":[139],"features":[140],"matrices":[143],"created":[144],"combining":[146],"two":[148,162],"for":[152,173],"link":[153],"prediction":[154],"triplet":[156],"classification":[157],"tasks.":[158,175],"Empirical":[159],"evaluations":[160],"datasets":[166],"demonstrate":[167],"is":[171],"effective":[172]},"counts_by_year":[],"updated_date":"2026-03-11T06:11:40.159057","created_date":"2025-10-10T00:00:00"}