{"id":"https://openalex.org/W7139966382","doi":"https://doi.org/10.48550/arxiv.2603.18447","title":"SODIUM: From Open Web Data to Queryable Databases","display_name":"SODIUM: From Open Web Data to Queryable Databases","publication_year":2026,"publication_date":"2026-03-19","ids":{"openalex":"https://openalex.org/W7139966382","doi":"https://doi.org/10.48550/arxiv.2603.18447"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.18447","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.18447","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.2603.18447","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130214842","display_name":"Chuxuan Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Chuxuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130236861","display_name":"Philip Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Philip","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130235387","display_name":"Maxwell Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Maxwell","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5072348548","display_name":"Daniel Kang","orcid":"https://orcid.org/0000-0001-9860-9938"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kang, Daniel","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/T12016","display_name":"Web Data Mining and Analysis","score":0.8069000244140625,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12016","display_name":"Web Data Mining and Analysis","score":0.8069000244140625,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.0502999983727932,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.03099999949336052,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/construct","display_name":"Construct (python library)","score":0.5241000056266785},{"id":"https://openalex.org/keywords/data-web","display_name":"Data Web","score":0.5012999773025513},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4952000081539154},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.4498000144958496},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.43160000443458557},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.42480000853538513},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.39500001072883606},{"id":"https://openalex.org/keywords/web-application","display_name":"Web application","score":0.38359999656677246},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.3734000027179718},{"id":"https://openalex.org/keywords/web-intelligence","display_name":"Web intelligence","score":0.35910001397132874}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8208000063896179},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5241000056266785},{"id":"https://openalex.org/C162005631","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Data Web","level":3,"score":0.5012999773025513},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4952000081539154},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4893999993801117},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.45159998536109924},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.4498000144958496},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.43160000443458557},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.42480000853538513},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.39500001072883606},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3939000070095062},{"id":"https://openalex.org/C118643609","wikidata":"https://www.wikidata.org/wiki/Q189210","display_name":"Web application","level":2,"score":0.38359999656677246},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.3734000027179718},{"id":"https://openalex.org/C544335954","wikidata":"https://www.wikidata.org/wiki/Q2553348","display_name":"Web intelligence","level":4,"score":0.35910001397132874},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.34549999237060547},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.32839998602867126},{"id":"https://openalex.org/C130436687","wikidata":"https://www.wikidata.org/wiki/Q7978591","display_name":"Web modeling","level":3,"score":0.32499998807907104},{"id":"https://openalex.org/C21959979","wikidata":"https://www.wikidata.org/wiki/Q36774","display_name":"Web page","level":2,"score":0.3068999946117401},{"id":"https://openalex.org/C180198813","wikidata":"https://www.wikidata.org/wiki/Q121182","display_name":"Information system","level":2,"score":0.2874000072479248},{"id":"https://openalex.org/C69075417","wikidata":"https://www.wikidata.org/wiki/Q515701","display_name":"Linked data","level":3,"score":0.2854999899864197},{"id":"https://openalex.org/C35578498","wikidata":"https://www.wikidata.org/wiki/Q193424","display_name":"Web service","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C182321512","wikidata":"https://www.wikidata.org/wiki/Q1153289","display_name":"Web standards","level":3,"score":0.27469998598098755},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.27410000562667847},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.2736000120639801},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26919999718666077},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C2777466982","wikidata":"https://www.wikidata.org/wiki/Q5227287","display_name":"Data extraction","level":3,"score":0.2646999955177307},{"id":"https://openalex.org/C61096286","wikidata":"https://www.wikidata.org/wiki/Q7978592","display_name":"Web navigation","level":3,"score":0.26460000872612},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.26190000772476196},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C2780535194","wikidata":"https://www.wikidata.org/wiki/Q309901","display_name":"Open data","level":2,"score":0.2574000060558319},{"id":"https://openalex.org/C11392498","wikidata":"https://www.wikidata.org/wiki/Q11288","display_name":"Web server","level":3,"score":0.2563000023365021},{"id":"https://openalex.org/C79373723","wikidata":"https://www.wikidata.org/wiki/Q386275","display_name":"Web development","level":3,"score":0.2547999918460846}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.18447","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.18447","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.2603.18447","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.18447","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"During":[0],"research,":[1],"domain":[2],"experts":[3],"often":[4],"ask":[5],"analytical":[6],"questions":[7],"whose":[8],"answers":[9],"require":[10],"integrating":[11,93],"data":[12,31,137],"from":[13,117,138],"a":[14,111,173,178,182],"wide":[15],"range":[16],"of":[17,74,113,177,196],"web":[18,52,132,179,207],"sources.":[19],"Thus,":[20],"they":[21],"must":[22,57],"spend":[23],"substantial":[24],"effort":[25],"searching,":[26],"extracting,":[27],"and":[28,71,91,135,181,191,199,205,209,229],"organizing":[29],"raw":[30],"before":[32],"analysis":[33],"can":[34],"begin.":[35],"We":[36],"formalize":[37],"this":[38,168],"process":[39],"as":[40,50,53],"the":[41,51,75,103,130,159,222,230],"SODIUM":[42,66,148],"task,":[43],"where":[44,124],"we":[45,108,150,170],"conceptualize":[46],"open":[47,76,131],"domains":[48],"such":[49],"latent":[54],"databases":[55],"that":[56],"be":[58],"systematically":[59],"instantiated":[60],"to":[61,133,234],"support":[62],"downstream":[63],"querying.":[64],"Solving":[65],"requires":[67],"(1)":[68],"conducting":[69],"in-depth":[70],"specialized":[72],"exploration":[73,208],"web,":[77],"which":[78],"is":[79],"further":[80],"strengthened":[81],"by":[82,186,225,232],"(2)":[83],"exploiting":[84],"structural":[85],"correlations":[86],"for":[87],"systematic":[88],"information":[89,95,213],"extraction":[90],"(3)":[92],"collected":[94],"into":[96,141],"coherent,":[97],"queryable":[98],"database":[99],"instances.":[100],"To":[101,166],"quantify":[102],"challenges":[104],"in":[105],"automating":[106],"SODIUM,":[107],"construct":[109],"SODIUM-Bench,":[110,157,220],"benchmark":[112],"105":[114],"tasks":[115],"derived":[116],"published":[118],"academic":[119],"papers":[120],"across":[121],"6":[122,152],"domains,":[123],"systems":[125,145],"are":[126],"tasked":[127],"with":[128,147,158],"exploring":[129],"collect":[134],"aggregate":[136],"diverse":[139],"sources":[140,198],"structured":[142],"tables.":[143],"Existing":[144],"struggle":[146],"tasks:":[149],"evaluate":[151],"advanced":[153],"AI":[154],"agents":[155],"on":[156,219],"strongest":[160,223],"baseline":[161,224],"achieving":[162],"only":[163],"46.5%":[164],"accuracy.":[165],"bridge":[167],"gap,":[169],"develop":[171],"SODIUM-Agent,":[172],"multi-agent":[174],"system":[175],"composed":[176],"explorer":[180],"cache":[183],"manager.":[184],"Powered":[185],"our":[187],"proposed":[188],"ATP-BFS":[189],"algorithm":[190],"optimized":[192],"through":[193],"principled":[194],"management":[195],"cached":[197],"navigation":[200],"paths,":[201],"SODIUM-Agent":[202,215],"conducts":[203],"deep":[204],"comprehensive":[206],"performs":[210],"structurally":[211],"coherent":[212],"extraction.":[214],"achieves":[216],"91.1%":[217],"accuracy":[218],"outperforming":[221],"approximately":[226],"2":[227],"times":[228],"weakest":[231],"up":[233],"73":[235],"times.":[236]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-03-21T00:00:00"}