{"id":"https://openalex.org/W4388144278","doi":"https://doi.org/10.1007/978-3-031-47240-4_10","title":"Spatial Link Prediction with\u00a0Spatial and\u00a0Semantic Embeddings","display_name":"Spatial Link Prediction with\u00a0Spatial and\u00a0Semantic Embeddings","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4388144278","doi":"https://doi.org/10.1007/978-3-031-47240-4_10"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-47240-4_10","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-47240-4_10","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-47240-4_10.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-47240-4_10.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102791718","display_name":"Genivika Mann","orcid":"https://orcid.org/0009-0009-2539-9277"},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Genivika Mann","raw_affiliation_strings":["Data Science & Intelligent Systems (DSIS), University of Bonn, Bonn, Germany"],"affiliations":[{"raw_affiliation_string":"Data Science & Intelligent Systems (DSIS), University of Bonn, Bonn, Germany","institution_ids":["https://openalex.org/I135140700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074172005","display_name":"Alishiba Dsouza","orcid":"https://orcid.org/0000-0001-5884-6234"},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alishiba Dsouza","raw_affiliation_strings":["Data Science & Intelligent Systems (DSIS), University of Bonn, Bonn, Germany"],"affiliations":[{"raw_affiliation_string":"Data Science & Intelligent Systems (DSIS), University of Bonn, Bonn, Germany","institution_ids":["https://openalex.org/I135140700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031363707","display_name":"Ran Yu","orcid":"https://orcid.org/0000-0002-1619-3164"},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]},{"id":"https://openalex.org/I4387154616","display_name":"Lamarr Institute for Machine Learning and Artificial Intelligence","ror":"https://ror.org/04s11ea33","country_code":null,"type":"facility","lineage":["https://openalex.org/I135140700","https://openalex.org/I200332995","https://openalex.org/I4210098062","https://openalex.org/I4210144576","https://openalex.org/I4387154616","https://openalex.org/I4923324","https://openalex.org/I4923324"]},{"id":"https://openalex.org/I4923324","display_name":"Fraunhofer-Gesellschaft","ror":"https://ror.org/05hkkdn48","country_code":"DE","type":"government","lineage":["https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ran Yu","raw_affiliation_strings":["Data Science & Intelligent Systems (DSIS), University of Bonn, Bonn, Germany","Lamarr Institute for Machine Learning and Artificial Intelligence, Bonn, Germany"],"affiliations":[{"raw_affiliation_string":"Data Science & Intelligent Systems (DSIS), University of Bonn, Bonn, Germany","institution_ids":["https://openalex.org/I135140700"]},{"raw_affiliation_string":"Lamarr Institute for Machine Learning and Artificial Intelligence, Bonn, Germany","institution_ids":["https://openalex.org/I4923324","https://openalex.org/I4387154616"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087621364","display_name":"Elena Demidova","orcid":"https://orcid.org/0000-0002-5134-9072"},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]},{"id":"https://openalex.org/I4387154616","display_name":"Lamarr Institute for Machine Learning and Artificial Intelligence","ror":"https://ror.org/04s11ea33","country_code":null,"type":"facility","lineage":["https://openalex.org/I135140700","https://openalex.org/I200332995","https://openalex.org/I4210098062","https://openalex.org/I4210144576","https://openalex.org/I4387154616","https://openalex.org/I4923324","https://openalex.org/I4923324"]},{"id":"https://openalex.org/I4923324","display_name":"Fraunhofer-Gesellschaft","ror":"https://ror.org/05hkkdn48","country_code":"DE","type":"government","lineage":["https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Elena Demidova","raw_affiliation_strings":["Data Science & Intelligent Systems (DSIS), University of Bonn, Bonn, Germany","Lamarr Institute for Machine Learning and Artificial Intelligence, Bonn, Germany"],"affiliations":[{"raw_affiliation_string":"Data Science & Intelligent Systems (DSIS), University of Bonn, Bonn, Germany","institution_ids":["https://openalex.org/I135140700"]},{"raw_affiliation_string":"Lamarr Institute for Machine Learning and Artificial Intelligence, Bonn, Germany","institution_ids":["https://openalex.org/I4923324","https://openalex.org/I4387154616"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102791718"],"corresponding_institution_ids":["https://openalex.org/I135140700"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":1.0477,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.80006754,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"179","last_page":"196"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9976000189781189,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.8874025344848633},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8019096255302429},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6274274587631226},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.6116060614585876},{"id":"https://openalex.org/keywords/geographic-information-system","display_name":"Geographic information system","score":0.5456058382987976},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4952181875705719},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.44816139340400696},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43650662899017334},{"id":"https://openalex.org/keywords/spatial-relation","display_name":"Spatial relation","score":0.4298117160797119},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.41387850046157837},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4093492329120636},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4085175693035126},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24671179056167603},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.17321476340293884},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.1328078806400299}],"concepts":[{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.8874025344848633},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8019096255302429},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6274274587631226},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.6116060614585876},{"id":"https://openalex.org/C41856607","wikidata":"https://www.wikidata.org/wiki/Q483130","display_name":"Geographic information system","level":2,"score":0.5456058382987976},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4952181875705719},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.44816139340400696},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43650662899017334},{"id":"https://openalex.org/C27511587","wikidata":"https://www.wikidata.org/wiki/Q2178623","display_name":"Spatial relation","level":2,"score":0.4298117160797119},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.41387850046157837},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4093492329120636},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4085175693035126},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24671179056167603},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.17321476340293884},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.1328078806400299},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-47240-4_10","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-47240-4_10","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-47240-4_10.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-031-47240-4_10","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-47240-4_10","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-47240-4_10.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6955755495","display_name":null,"funder_award_id":"Germany","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G7225624288","display_name":null,"funder_award_id":"This work was","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G7275571203","display_name":null,"funder_award_id":"424985896","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G7393147716","display_name":null,"funder_award_id":"Climate","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320875","display_name":"Deutscher Akademischer Austauschdienst","ror":"https://ror.org/039djdh30"},{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388144278.pdf"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W2493916176","https://openalex.org/W2560302897","https://openalex.org/W2602856279","https://openalex.org/W2885483808","https://openalex.org/W2888677580","https://openalex.org/W2914592219","https://openalex.org/W2947768337","https://openalex.org/W2964161331","https://openalex.org/W2970641574","https://openalex.org/W2980763157","https://openalex.org/W2997897037","https://openalex.org/W2998354817","https://openalex.org/W3022514719","https://openalex.org/W3023770275","https://openalex.org/W3094537309","https://openalex.org/W3102423243","https://openalex.org/W3103296573","https://openalex.org/W3120491054","https://openalex.org/W3171651191","https://openalex.org/W3199018466","https://openalex.org/W3203587881","https://openalex.org/W4296354701","https://openalex.org/W4307807303","https://openalex.org/W4312322839","https://openalex.org/W4320507247"],"related_works":["https://openalex.org/W2004086023","https://openalex.org/W4367313141","https://openalex.org/W3155483442","https://openalex.org/W4214818710","https://openalex.org/W4296970743","https://openalex.org/W4205665237","https://openalex.org/W2365031108","https://openalex.org/W3159249782","https://openalex.org/W4389195459","https://openalex.org/W2925311845"],"abstract_inverted_index":{"Abstract":[0],"Semantic":[1],"geospatial":[2,89,184],"applications,":[3],"such":[4,111],"as":[5],"geographic":[6,17,30,40,50,82,157,179],"question":[7],"answering,":[8],"have":[9],"benefited":[10],"from":[11,54,187],"knowledge":[12,31,45,97,129,158,180],"graphs":[13,32,46,59,98,130,159],"incorporating":[14],"information":[15,112],"regarding":[16],"entities":[18,51,83],"and":[19,141,162,195],"their":[20],"relations.":[21],"However,":[22],"one":[23],"of":[24,29,36,122,153,169],"the":[25,34,67,120,151,167,177,193],"most":[26,43],"critical":[27],"limitations":[28],"is":[33,84,113],"lack":[35],"semantic":[37,88,163],"relations":[38],"between":[39,81],"entities.":[41],"The":[42],"extensive":[44],"specifically":[47],"tailored":[48],"to":[49,65],"are":[52],"extracted":[53,186],"unstructured":[55],"sources,":[56],"with":[57],"these":[58],"often":[60],"relying":[61],"on":[62,101,176],"datatype":[63],"properties":[64],"describe":[66],"entities,":[68],"resulting":[69],"in":[70,126,156],"a":[71],"flat":[72],"representation":[73],"that":[74,192],"lacks":[75],"entity":[76,103],"relationships.":[77],"Therefore,":[78],"predicting":[79,123],"links":[80,125],"essential":[85],"for":[86,96,108],"advancing":[87],"applications.":[90],"Existing":[91],"neural":[92],"link":[93,138,145,201],"prediction":[94,139,146,202],"methods":[95],"typically":[99],"rely":[100],"pre-existing":[102],"relations,":[104],"making":[105],"them":[106],"unsuitable":[107],"scenarios":[109],"where":[110],"absent.":[114],"In":[115],"this":[116],"paper,":[117],"we":[118,173],"tackle":[119],"challenge":[121],"spatial":[124,137,144,161],"sparsely":[127],"interlinked":[128],"by":[131],"introducing":[132],"two":[133],"novel":[134],"approaches:":[135],"supervised":[136],"(SSLP)":[140],"unsupervised":[142],"inductive":[143],"(USLP).":[147],"These":[148],"approaches":[149,197],"leverage":[150],"wealth":[152],"literal":[154],"values":[155],"through":[160],"embeddings.":[164],"To":[165],"assess":[166],"effectiveness":[168],"our":[170],"proposed":[171],"methods,":[172],"conduct":[174],"evaluations":[175],"WorldKG":[178],"graph,":[181],"which":[182],"incorporates":[183],"data":[185],"OpenStreetMap.":[188],"Our":[189],"results":[190],"demonstrate":[191],"SSLP":[194],"USLP":[196],"substantially":[198],"outperform":[199],"state-of-the-art":[200],"methods.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
