{"id":"https://openalex.org/W7165627709","doi":"https://doi.org/10.48550/arxiv.2606.22645","title":"All Relations Lead to Rome: Automated Knowledge Graph Creation and Question Generation","display_name":"All Relations Lead to Rome: Automated Knowledge Graph Creation and Question Generation","publication_year":2026,"publication_date":"2026-06-21","ids":{"openalex":"https://openalex.org/W7165627709","doi":"https://doi.org/10.48550/arxiv.2606.22645"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.22645","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.22645","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.22645","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5121653693","display_name":"Matthijs Jansen op de Haar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"de Haar, Matthijs Jansen op","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139162033","display_name":"Tobias St\u00e4hle","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"St\u00e4hle, Tobias","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5079215275","display_name":"Lorenzo Gatti","orcid":"https://orcid.org/0000-0003-2422-5055"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gatti, Lorenzo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"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":0.8264999985694885,"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":0.8264999985694885,"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":0.11590000241994858,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.010099999606609344,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/knowledge-graph","display_name":"Knowledge graph","score":0.5831999778747559},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5163999795913696},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.5060999989509583},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4124999940395355},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.3292999863624573},{"id":"https://openalex.org/keywords/lead","display_name":"Lead (geology)","score":0.328900009393692},{"id":"https://openalex.org/keywords/knowledge-based-systems","display_name":"Knowledge-based systems","score":0.3151000142097473}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7595000267028809},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5831999778747559},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5163999795913696},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.5060999989509583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4316999912261963},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4244000017642975},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4124999940395355},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3312999904155731},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.3292999863624573},{"id":"https://openalex.org/C2777093003","wikidata":"https://www.wikidata.org/wiki/Q6508345","display_name":"Lead (geology)","level":2,"score":0.328900009393692},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.3151000142097473},{"id":"https://openalex.org/C195344581","wikidata":"https://www.wikidata.org/wiki/Q2555318","display_name":"Automated reasoning","level":2,"score":0.30970001220703125},{"id":"https://openalex.org/C234837","wikidata":"https://www.wikidata.org/wiki/Q1420493","display_name":"Conceptual graph","level":3,"score":0.30059999227523804},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.2922999858856201},{"id":"https://openalex.org/C69075417","wikidata":"https://www.wikidata.org/wiki/Q515701","display_name":"Linked data","level":3,"score":0.2919999957084656},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.29120001196861267},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.25290000438690186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.22645","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.22645","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.22645","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.22645","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.431508332490921}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"language":[1],"models":[2],"have":[3],"substantially":[4],"improved":[5],"information":[6],"retrieval":[7,18,132,142],"and":[8,44,73,84,95,119,138,144],"question":[9],"answering;":[10],"however,":[11],"existing":[12],"datasets":[13],"generally":[14],"support":[15],"either":[16],"vector-based":[17],"over":[19,24,114],"unstructured":[20],"text":[21],"or":[22],"reasoning":[23],"knowledge":[25,70,81],"graphs,":[26],"without":[27],"providing":[28],"a":[29,65,80,105,149],"unified":[30,66],"representation":[31],"that":[32,87],"combines":[33],"both":[34],"paradigms.":[35],"Moreover,":[36],"current":[37],"benchmarks":[38],"rarely":[39],"provide":[40],"ground-truth":[41],"entities,":[42,93,116],"relations,":[43,94],"fact-grounded":[45,74],"question-answer":[46,75,85,121],"pairs":[47,86,122],"aligned":[48],"with":[49,130],"the":[50,102,110,136],"underlying":[51],"corpus.":[52],"To":[53],"address":[54],"this":[55],"gap,":[56],"we":[57],"introduce":[58],"All":[59],"Relations":[60],"Lead":[61],"to":[62],"Rome":[63],"(ARLtR),":[64],"framework":[67,103],"for":[68],"automated":[69],"graph":[71,128],"construction":[72],"generation.":[76],"ARLtR":[77,134],"jointly":[78],"constructs":[79],"graph,":[82],"embeddings,":[83],"are":[88],"explicitly":[89],"grounded":[90],"in":[91],"extracted":[92],"supporting":[96],"textual":[97],"evidence.":[98],"We":[99],"further":[100],"instantiate":[101],"as":[104],"historical":[106],"dataset":[107],"centered":[108],"on":[109],"Roman":[111],"Empire,":[112],"comprising":[113],"19,000":[115],"16,000":[117],"chunks,":[118],"8,400":[120],"(https://huggingface.co/datasets/FaynePro/all-relations-lead-to-rome).":[123],"By":[124],"tightly":[125],"coupling":[126],"symbolic":[127],"representations":[129],"dense":[131],"representations,":[133],"facilitates":[135],"evaluation":[137],"development":[139],"of":[140],"hybrid":[141],"systems":[143],"semantic":[145],"steering":[146],"approaches":[147],"within":[148],"single":[150],"coherent":[151],"resource.":[152]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-24T00:00:00"}
