{"id":"https://openalex.org/W7160426014","doi":"https://doi.org/10.1007/978-3-032-25156-5_9","title":"Conel: Contrastive Neural Link Discovery Leveraging Literal Similarities","display_name":"Conel: Contrastive Neural Link Discovery Leveraging Literal Similarities","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7160426014","doi":"https://doi.org/10.1007/978-3-032-25156-5_9"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-032-25156-5_9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-25156-5_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/A5066893979","display_name":"Mohamed Ahmed Sherif","orcid":null},"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":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.93050031,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"160","last_page":"178"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9161999821662903,"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":0.9161999821662903,"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":0.03909999877214432,"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":0.023399999365210533,"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/literal","display_name":"Literal (mathematical logic)","score":0.7493000030517578},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6165000200271606},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5740000009536743},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5127999782562256},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4327000081539154},{"id":"https://openalex.org/keywords/data-integration","display_name":"Data integration","score":0.40880000591278076},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.3716000020503998},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.3691999912261963}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8769000172615051},{"id":"https://openalex.org/C2780882242","wikidata":"https://www.wikidata.org/wiki/Q14235582","display_name":"Literal (mathematical logic)","level":2,"score":0.7493000030517578},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6233999729156494},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6165000200271606},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5740000009536743},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5401999950408936},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5127999782562256},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4327000081539154},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.40880000591278076},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3716000020503998},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.3691999912261963},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36329999566078186},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.29899999499320984},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.29100000858306885},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.2849000096321106},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.28279998898506165},{"id":"https://openalex.org/C167981619","wikidata":"https://www.wikidata.org/wiki/Q1685498","display_name":"Cross entropy","level":3,"score":0.2770000100135803},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.27630001306533813},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2718000113964081},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.26809999346733093},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.26030001044273376},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.257099986076355},{"id":"https://openalex.org/C33326189","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information integration","level":2,"score":0.25360000133514404},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2526000142097473},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.25200000405311584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-032-25156-5_9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-25156-5_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":36,"referenced_works":["https://openalex.org/W1975356361","https://openalex.org/W1977609394","https://openalex.org/W2019102947","https://openalex.org/W2029097226","https://openalex.org/W2119332773","https://openalex.org/W2340908569","https://openalex.org/W2499696929","https://openalex.org/W2551361256","https://openalex.org/W2573963375","https://openalex.org/W2615504032","https://openalex.org/W2741750617","https://openalex.org/W2757431232","https://openalex.org/W2767692092","https://openalex.org/W2808284704","https://openalex.org/W2885483808","https://openalex.org/W2908230750","https://openalex.org/W2962916648","https://openalex.org/W2964855489","https://openalex.org/W2966055354","https://openalex.org/W2985411935","https://openalex.org/W3091993229","https://openalex.org/W3120491054","https://openalex.org/W3132689447","https://openalex.org/W3138149011","https://openalex.org/W3154675738","https://openalex.org/W3156850293","https://openalex.org/W4281569022","https://openalex.org/W4287252285","https://openalex.org/W4382397550","https://openalex.org/W4382722394","https://openalex.org/W4398186370","https://openalex.org/W4401110069","https://openalex.org/W4404724803","https://openalex.org/W4404725072","https://openalex.org/W4404782649","https://openalex.org/W4415686270"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-05-08T13:12:06.581006","created_date":"2026-05-07T00:00:00"}
