{"id":"https://openalex.org/W4415686270","doi":"https://doi.org/10.1007/978-3-032-09527-5_9","title":"Glide: Knowledge Graph Linking Using Distance-Aware Embeddings","display_name":"Glide: Knowledge Graph Linking Using Distance-Aware Embeddings","publication_year":2025,"publication_date":"2025-10-29","ids":{"openalex":"https://openalex.org/W4415686270","doi":"https://doi.org/10.1007/978-3-032-09527-5_9"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-032-09527-5_9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-09527-5_9","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5102851869","display_name":"Alexander Becker","orcid":"https://orcid.org/0009-0003-8212-4647"},"institutions":[{"id":"https://openalex.org/I206945453","display_name":"Paderborn University","ror":"https://ror.org/058kzsd48","country_code":"DE","type":"education","lineage":["https://openalex.org/I206945453"]},{"id":"https://openalex.org/I4210152224","display_name":"Heinz Nixdorf Stiftung","ror":"https://ror.org/04j2tkk21","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I4210152224"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Alexander Becker","raw_affiliation_strings":["Data Science Group (DICE), Heinz Nixdorf Institute, Paderborn University, Paderborn, Germany"],"raw_orcid":"https://orcid.org/0009-0003-8212-4647","affiliations":[{"raw_affiliation_string":"Data Science Group (DICE), Heinz Nixdorf Institute, Paderborn University, Paderborn, Germany","institution_ids":["https://openalex.org/I206945453","https://openalex.org/I4210152224"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038745720","display_name":"Axel-Cyrille Ngonga Ngomo","orcid":"https://orcid.org/0000-0001-7112-3516"},"institutions":[{"id":"https://openalex.org/I206945453","display_name":"Paderborn University","ror":"https://ror.org/058kzsd48","country_code":"DE","type":"education","lineage":["https://openalex.org/I206945453"]},{"id":"https://openalex.org/I4210152224","display_name":"Heinz Nixdorf Stiftung","ror":"https://ror.org/04j2tkk21","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I4210152224"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Axel-Cyrille Ngonga Ngomo","raw_affiliation_strings":["Data Science Group (DICE), Heinz Nixdorf Institute, Paderborn University, Paderborn, Germany"],"raw_orcid":"https://orcid.org/0000-0001-7112-3516","affiliations":[{"raw_affiliation_string":"Data Science Group (DICE), Heinz Nixdorf Institute, Paderborn University, Paderborn, Germany","institution_ids":["https://openalex.org/I206945453","https://openalex.org/I4210152224"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052233342","display_name":"Mohamed Ahmed Sherif","orcid":"https://orcid.org/0000-0002-9927-2203"},"institutions":[{"id":"https://openalex.org/I206945453","display_name":"Paderborn University","ror":"https://ror.org/058kzsd48","country_code":"DE","type":"education","lineage":["https://openalex.org/I206945453"]},{"id":"https://openalex.org/I4210152224","display_name":"Heinz Nixdorf Stiftung","ror":"https://ror.org/04j2tkk21","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I4210152224"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mohamed Ahmed Sherif","raw_affiliation_strings":["Data Science Group (DICE), Heinz Nixdorf Institute, Paderborn University, Paderborn, Germany"],"raw_orcid":"https://orcid.org/0000-0002-9927-2203","affiliations":[{"raw_affiliation_string":"Data Science Group (DICE), Heinz Nixdorf Institute, Paderborn University, Paderborn, Germany","institution_ids":["https://openalex.org/I206945453","https://openalex.org/I4210152224"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102851869"],"corresponding_institution_ids":["https://openalex.org/I206945453","https://openalex.org/I4210152224"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":6.6496,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.97141116,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"158","last_page":"176"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.8686000108718872,"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":0.8686000108718872,"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":0.10719999670982361,"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"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.005400000140070915,"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/embedding","display_name":"Embedding","score":0.6517999768257141},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.6133000254631042},{"id":"https://openalex.org/keywords/equivalence","display_name":"Equivalence (formal languages)","score":0.5130000114440918},{"id":"https://openalex.org/keywords/vector-space","display_name":"Vector space","score":0.501800000667572},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4894999861717224},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4867999851703644},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47839999198913574},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.3986999988555908}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8137000203132629},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6517999768257141},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.6133000254631042},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.5130000114440918},{"id":"https://openalex.org/C13336665","wikidata":"https://www.wikidata.org/wiki/Q125977","display_name":"Vector space","level":2,"score":0.501800000667572},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4894999861717224},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4894999861717224},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4867999851703644},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47839999198913574},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.3986999988555908},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38119998574256897},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36660000681877136},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.35910001397132874},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.349700003862381},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.3375000059604645},{"id":"https://openalex.org/C143271835","wikidata":"https://www.wikidata.org/wiki/Q254515","display_name":"Similitude","level":2,"score":0.33399999141693115},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.32510000467300415},{"id":"https://openalex.org/C69075417","wikidata":"https://www.wikidata.org/wiki/Q515701","display_name":"Linked data","level":3,"score":0.31040000915527344},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.29760000109672546},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28850001096725464},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.2851000130176544},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.27390000224113464},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.266400009393692},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C89686163","wikidata":"https://www.wikidata.org/wiki/Q1187982","display_name":"Vector space model","level":2,"score":0.26350000500679016},{"id":"https://openalex.org/C156103551","wikidata":"https://www.wikidata.org/wiki/Q130998","display_name":"Equivalence relation","level":2,"score":0.25999999046325684}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-032-09527-5_9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-09527-5_9","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2132497731","https://openalex.org/W2139929608","https://openalex.org/W2615504032","https://openalex.org/W2741750617","https://openalex.org/W2808284704","https://openalex.org/W2844700002","https://openalex.org/W2885483808","https://openalex.org/W2903963001","https://openalex.org/W2954222332","https://openalex.org/W2962916648","https://openalex.org/W2963041663","https://openalex.org/W2964855489","https://openalex.org/W2966055354","https://openalex.org/W2966126249","https://openalex.org/W2980763157","https://openalex.org/W2985411935","https://openalex.org/W2993546660","https://openalex.org/W3094451405","https://openalex.org/W3096932862","https://openalex.org/W3117745048","https://openalex.org/W3120491054","https://openalex.org/W3126308468","https://openalex.org/W3154675738","https://openalex.org/W3156850293","https://openalex.org/W3182536263","https://openalex.org/W4281569022","https://openalex.org/W4287252285","https://openalex.org/W4312375702","https://openalex.org/W4391473819","https://openalex.org/W4404724803","https://openalex.org/W4404725072"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-30T00:00:00"}
