{"id":"https://openalex.org/W7204678376","doi":null,"title":"Natural Language Processing and Graph Methods for Knowledge Graph Applications","display_name":"Natural Language Processing and Graph Methods for Knowledge Graph Applications","publication_year":2026,"publication_date":"2026-11-26","ids":{"openalex":"https://openalex.org/W7204678376"},"language":"en","primary_location":{"id":"pmh:oai:doktori.bibl.u-szeged.hu:13202","doi":null,"is_oa":true,"landing_page_url":"https://doktori.bibl.u-szeged.hu/id/eprint/13202/1/kardospeter_disszertacio.pdf","pdf_url":"https://doktori.bibl.u-szeged.hu/id/eprint/13202/2/kardospeter_theses_booklet.pdf","source":{"id":"https://openalex.org/S4306401984","display_name":"SZTE Repository of Dissertations (University of Szeged)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I227486990","host_organization_name":"University of Szeged","host_organization_lineage":["https://openalex.org/I227486990"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Disszert\u00e1ci\u00f3"},"volume":null,"type":"dissertation","indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doktori.bibl.u-szeged.hu/id/eprint/13202/2/kardospeter_theses_booklet.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5148610476","display_name":"Kardos P\u00e9ter","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kardos P\u00e9ter","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5148610476"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.6685000061988831,"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/T10028","display_name":"Topic Modeling","score":0.6685000061988831,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.2849000096321106,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.02800000086426735,"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/entity-resolution","display_name":"entity resolution","score":0.5109999775886536},{"id":"https://openalex.org/keywords/embedding-based-retrieval","display_name":"embedding-based retrieval","score":0.5379999876022339},{"id":"https://openalex.org/keywords/re-ranking","display_name":"re-ranking","score":0.6629999876022339},{"id":"https://openalex.org/keywords/llm-prompting","display_name":"LLM prompting","score":0.7839999794960022},{"id":"https://openalex.org/keywords/entity-representation","display_name":"entity representation","score":0.4830000102519989},{"id":"https://openalex.org/keywords/data-deduplication","display_name":"data deduplication","score":0.5799999833106995}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6973000168800354},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5182999968528748},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4876999855041504},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.48010000586509705},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4578000009059906},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4361000061035156},{"id":"https://openalex.org/C234837","wikidata":"https://www.wikidata.org/wiki/Q1420493","display_name":"Conceptual graph","level":3,"score":0.36230000853538513},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.361299991607666},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.34529998898506165},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.31859999895095825},{"id":"https://openalex.org/C5737132","wikidata":"https://www.wikidata.org/wiki/Q1101814","display_name":"Clique-width","level":5,"score":0.31200000643730164},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.30709999799728394},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30660000443458557},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.3059000074863434},{"id":"https://openalex.org/C129792486","wikidata":"https://www.wikidata.org/wiki/Q1050419","display_name":"Language identification","level":3,"score":0.28049999475479126},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.27250000834465027},{"id":"https://openalex.org/C64339825","wikidata":"https://www.wikidata.org/wiki/Q722659","display_name":"Graph property","level":5,"score":0.26019999384880066},{"id":"https://openalex.org/C66945725","wikidata":"https://www.wikidata.org/wiki/Q18388823","display_name":"Text graph","level":3,"score":0.25760000944137573},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.25290000438690186},{"id":"https://openalex.org/C558772884","wikidata":"https://www.wikidata.org/wiki/Q1508564","display_name":"Graph rewriting","level":3,"score":0.25279998779296875},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.25200000405311584}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:doktori.bibl.u-szeged.hu:13202","doi":null,"is_oa":true,"landing_page_url":"https://doktori.bibl.u-szeged.hu/id/eprint/13202/1/kardospeter_disszertacio.pdf","pdf_url":"https://doktori.bibl.u-szeged.hu/id/eprint/13202/2/kardospeter_theses_booklet.pdf","source":{"id":"https://openalex.org/S4306401984","display_name":"SZTE Repository of Dissertations (University of Szeged)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I227486990","host_organization_name":"University of Szeged","host_organization_lineage":["https://openalex.org/I227486990"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Disszert\u00e1ci\u00f3"}],"best_oa_location":{"id":"pmh:oai:doktori.bibl.u-szeged.hu:13202","doi":null,"is_oa":true,"landing_page_url":"https://doktori.bibl.u-szeged.hu/id/eprint/13202/1/kardospeter_disszertacio.pdf","pdf_url":"https://doktori.bibl.u-szeged.hu/id/eprint/13202/2/kardospeter_theses_booklet.pdf","source":{"id":"https://openalex.org/S4306401984","display_name":"SZTE Repository of Dissertations (University of Szeged)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I227486990","host_organization_name":"University of Szeged","host_organization_lineage":["https://openalex.org/I227486990"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Disszert\u00e1ci\u00f3"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1054051337","display_name":null,"funder_award_id":"RRF-2","funder_id":"https://openalex.org/F4320326762","funder_display_name":"Nemzeti Kutat\u00e1si Fejleszt\u00e9si \u00e9s Innov\u00e1ci\u00f3s Hivatal"},{"id":"https://openalex.org/G115937378","display_name":null,"funder_award_id":"RRF-2.3.1-21","funder_id":"https://openalex.org/F4320336675","funder_display_name":"National Research, Development and Innovation Office"},{"id":"https://openalex.org/G2989289705","display_name":null,"funder_award_id":"2018-1.2.1-NKP","funder_id":"https://openalex.org/F4320326762","funder_display_name":"Nemzeti Kutat\u00e1si Fejleszt\u00e9si \u00e9s Innov\u00e1ci\u00f3s Hivatal"},{"id":"https://openalex.org/G7101391507","display_name":null,"funder_award_id":"EFOP-3.6.3-VEKOP-16","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8898671128","display_name":null,"funder_award_id":"2018-1.2.1-NKP","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320326762","display_name":"Nemzeti Kutat\u00e1si Fejleszt\u00e9si \u00e9s Innov\u00e1ci\u00f3s Hivatal","ror":null},{"id":"https://openalex.org/F4320336675","display_name":"National Research, Development and Innovation Office","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7204678376.pdf","grobid_xml":"https://content.openalex.org/works/W7204678376.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7204690407","https://openalex.org/W4387789903","https://openalex.org/W3096899923","https://openalex.org/W3098984027","https://openalex.org/W3156850293","https://openalex.org/W4385812464","https://openalex.org/W6976980595","https://openalex.org/W3198954224","https://openalex.org/W4306798651","https://openalex.org/W4414394745"],"abstract_inverted_index":{"Declaration":[0],"of":[1,4,8,44,102,200],"the":[2,16,57,103,113,215,225],"Use":[3],"AI":[5],"v":[6],"List":[7],"Figures":[9],"4.1":[10],"KG":[11],"Entity":[12],"Alignment":[13],"example":[14],"in":[15,52,112],"Star":[17],"Wars":[18],"domain.Equivalent":[19],"entities":[20],"often":[21],"appear":[22],"under":[23],"different":[24],"names.":[25],".":[26,27,28,29,30,31,32,33,34,35,36,37,38,39,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,98,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,240,241,242,243,244,245,246,247,248,249,250,251,252,253],".40":[40],"4.2":[41],"Cumulative":[42],"percentage":[43],"gold-standard":[45],"pairs":[46],"retrieved":[47],"at":[48],"each":[49,109],"rank":[50],"position":[51],"SentenceBERT":[53],"similarity":[54],"rankings":[55],"for":[56],"Memory":[58],"Alpha-ST":[59],"Expanded":[60],"dataset.":[61],".42":[88],"4.3":[89],"Pipeline's":[90],"dataflow.The":[91],"brackets":[92],"indicate":[93],"which":[94],"property":[95],"was":[96],"used.":[97],".45":[99],"5.1":[100],"Overview":[101],"proposed":[104],"sparse":[105],"entity":[106,111,201],"alignment":[107],"pipeline.For":[108],"anchor":[110],"source":[114],"KG,":[115],"we:":[116],"(1)":[117],"generate":[118],"textual":[119],"representations":[120,206,230],"(Dogtags)":[121],"incorporating":[122],"node":[123],"attributes":[124,211],"and":[125,146,212,221,237],"graph":[126,227],"structure,":[127],"(2)":[128],"retrieve":[129],"top-k":[130],"candidates":[131],"using":[132,157],"embedding":[133],"similarity,":[134],"(3)":[135],"select":[136],"matches":[137],"via":[138],"exact":[139,161],"matching,":[140],"embedding-based":[141,235],"reranking,":[142],"or":[143],"LLM":[144,216],"prompting,":[145],"(4)":[147],"deduplicate":[148],"to":[149,234],"enforce":[150],"1:1":[151],"alignments.Multiple":[152],"strategies":[153,203],"can":[154],"be":[155],"merged":[156],"threshold":[158],"calibration":[159],"from":[160,210,224],"matches.":[162],".56":[197],"5.2":[198],"Comparison":[199],"representation":[202],"(Dogtags):":[204],"Node-based":[205],"use":[207],"limited":[208],"context":[209],"abstracts,":[213],"while":[214],"Summary":[217],"incorporates":[218],"rich":[219],"relational":[220],"attribute":[222],"information":[223],"knowledge":[226],"neighborhood.All":[228],"four":[229],"serve":[231],"as":[232],"input":[233],"retrieval":[236],"matching":[238],"algorithms.":[239]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-08-30T00:00:00"}