{"id":"https://openalex.org/W7129026948","doi":"https://doi.org/10.1145/3773966.3777916","title":"Rigorizing Retrieval-augmented Generation with Structured Knowledge Intelligence (6 Hrs)","display_name":"Rigorizing Retrieval-augmented Generation with Structured Knowledge Intelligence (6 Hrs)","publication_year":2026,"publication_date":"2026-02-16","ids":{"openalex":"https://openalex.org/W7129026948","doi":"https://doi.org/10.1145/3773966.3777916"},"language":null,"primary_location":{"id":"doi:10.1145/3773966.3777916","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3773966.3777916","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3773966.3777916","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114236207","display_name":"Zhisheng Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I181233156","display_name":"University of Oregon","ror":"https://ror.org/0293rh119","country_code":"US","type":"education","lineage":["https://openalex.org/I181233156"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhisheng Qi","raw_affiliation_strings":["University of Oregon, Eugene, OR, USA"],"affiliations":[{"raw_affiliation_string":"University of Oregon, Eugene, OR, USA","institution_ids":["https://openalex.org/I181233156"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yongjia Lei","orcid":"https://orcid.org/0000-0002-3022-7076"},"institutions":[{"id":"https://openalex.org/I181233156","display_name":"University of Oregon","ror":"https://ror.org/0293rh119","country_code":"US","type":"education","lineage":["https://openalex.org/I181233156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yongjia Lei","raw_affiliation_strings":["University of Oregon, Eugene, USA"],"affiliations":[{"raw_affiliation_string":"University of Oregon, Eugene, USA","institution_ids":["https://openalex.org/I181233156"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101837991","display_name":"Haoyu Han","orcid":"https://orcid.org/0000-0002-2529-6042"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haoyu Han","raw_affiliation_strings":["Michigan State University, East Lansing, USA"],"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126120991","display_name":"Harry Shomer","orcid":null},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Harry Shomer","raw_affiliation_strings":["University of Texas at Arlington, Arlington, USA"],"affiliations":[{"raw_affiliation_string":"University of Texas at Arlington, Arlington, USA","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012496909","display_name":"Kan Ding","orcid":"https://orcid.org/0009-0006-7902-2561"},"institutions":[{"id":"https://openalex.org/I4210100400","display_name":"Northwestern University","ror":"https://ror.org/00m6w7z96","country_code":"PH","type":"education","lineage":["https://openalex.org/I4210100400"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Kaize Ding","raw_affiliation_strings":["Northwestern University, Cook County, USA"],"affiliations":[{"raw_affiliation_string":"Northwestern University, Cook County, USA","institution_ids":["https://openalex.org/I4210100400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003837744","display_name":"Yu Zhang","orcid":"https://orcid.org/0000-0003-0540-6758"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Zhang","raw_affiliation_strings":["Texas A&amp;#38;M University, College Station, USA"],"affiliations":[{"raw_affiliation_string":"Texas A&amp;#38;M University, College Station, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126170820","display_name":"Ryan Rossi","orcid":null},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ryan Rossi","raw_affiliation_strings":["Adobe Research, San Jose, USA"],"affiliations":[{"raw_affiliation_string":"Adobe Research, San Jose, USA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126074861","display_name":"Hui Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui Liu","raw_affiliation_strings":["Michigan State University, East Lansing, MI, USA"],"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001886783","display_name":"Y. Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I181233156","display_name":"University of Oregon","ror":"https://ror.org/0293rh119","country_code":"US","type":"education","lineage":["https://openalex.org/I181233156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Wang","raw_affiliation_strings":["University of Oregon, Eugene, OR, USA"],"affiliations":[{"raw_affiliation_string":"University of Oregon, Eugene, OR, USA","institution_ids":["https://openalex.org/I181233156"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5114236207"],"corresponding_institution_ids":["https://openalex.org/I181233156"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.44554488,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1367","last_page":"1370"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10906","display_name":"AI-based Problem Solving and Planning","score":0.09099999815225601,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.09099999815225601,"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":0.06759999692440033,"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":0.05849999934434891,"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/perspective","display_name":"Perspective (graphical)","score":0.5936999917030334},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5760999917984009},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5055000185966492},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.46000000834465027},{"id":"https://openalex.org/keywords/intelligence-analysis","display_name":"Intelligence analysis","score":0.36820000410079956},{"id":"https://openalex.org/keywords/knowledge-based-systems","display_name":"Knowledge-based systems","score":0.3402000069618225},{"id":"https://openalex.org/keywords/social-knowledge","display_name":"Social knowledge","score":0.33250001072883606},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3160000145435333}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7135999798774719},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5936999917030334},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5760999917984009},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5055000185966492},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.46000000834465027},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4205999970436096},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.39430001378059387},{"id":"https://openalex.org/C517642484","wikidata":"https://www.wikidata.org/wiki/Q2388514","display_name":"Intelligence analysis","level":2,"score":0.36820000410079956},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.3402000069618225},{"id":"https://openalex.org/C2986930172","wikidata":"https://www.wikidata.org/wiki/Q1116133","display_name":"Social knowledge","level":2,"score":0.33250001072883606},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3231000006198883},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3160000145435333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3124000132083893},{"id":"https://openalex.org/C2777220311","wikidata":"https://www.wikidata.org/wiki/Q6423340","display_name":"Knowledge acquisition","level":2,"score":0.30300000309944153},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.30250000953674316},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.2874999940395355},{"id":"https://openalex.org/C29804473","wikidata":"https://www.wikidata.org/wiki/Q2025711","display_name":"Open Knowledge Base Connectivity","level":4,"score":0.27570000290870667},{"id":"https://openalex.org/C157170001","wikidata":"https://www.wikidata.org/wiki/Q4781507","display_name":"Applications of artificial intelligence","level":2,"score":0.2662999927997589},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.26100000739097595},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.25839999318122864},{"id":"https://openalex.org/C2776960227","wikidata":"https://www.wikidata.org/wiki/Q2586354","display_name":"Knowledge transfer","level":2,"score":0.2563999891281128},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.2556000053882599},{"id":"https://openalex.org/C84685590","wikidata":"https://www.wikidata.org/wiki/Q1540472","display_name":"Knowledge engineering","level":2,"score":0.25189998745918274},{"id":"https://openalex.org/C164614171","wikidata":"https://www.wikidata.org/wiki/Q5204775","display_name":"DECIPHER","level":2,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3773966.3777916","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3773966.3777916","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3773966.3777916","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3773966.3777916","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W4385570342","https://openalex.org/W4388169576","https://openalex.org/W4393152682","https://openalex.org/W4402670423","https://openalex.org/W4416035591"],"related_works":[],"abstract_inverted_index":{"Retrieving":[0],"external":[1],"knowledge":[2,22,80,120],"to":[3],"Augment":[4],"Generations":[5],"of":[6,41,64],"downstream":[7],"task":[8],"solutions":[9],"(RAGs)":[10],"has":[11],"become":[12],"a":[13,90],"standard":[14],"practice":[15],"in":[16,25,54],"powering":[17],"knowledge-intensive":[18],"applications.":[19],"However,":[20],"real-world":[21],"often":[23],"manifests":[24],"heterogeneous":[26],"yet":[27],"distinctive":[28],"structures":[29],"(e.g.,":[30],"tabular":[31],"schemas,":[32],"social":[33],"networks,":[34],"and":[35,48,126],"document":[36],"trees),":[37],"the":[38,62,68],"effective":[39],"modeling":[40],"which":[42],"demands":[43],"specialized":[44,117],"modeling,":[45],"practical":[46],"engineering,":[47],"domain":[49],"expertise.":[50],"Meanwhile,":[51],"adopting":[52],"RAGs":[53,100],"high-stakes":[55],"scenarios":[56],"underscores":[57],"rigorous":[58],"safety":[59],"considerations.":[60],"Despite":[61],"importance":[63],"this":[65,85],"structural":[66,91],"perspective,":[67],"current":[69],"landscape":[70],"remains":[71],"fragmented.":[72],"Moreover,":[73],"few":[74],"approaches":[75],"adequately":[76],"consider":[77],"how":[78,112],"structured":[79,99],"shapes":[81],"RAG's":[82],"safety.":[83],"Against":[84],"backdrop,":[86],"our":[87],"tutorial":[88,131],"offers":[89],"perspective":[92],"on":[93],"RAGs.":[94],"We":[95,109],"begin":[96],"by":[97],"overviewing":[98],"across":[101],"their":[102,106,123],"full":[103],"lifecycle,":[104],"highlighting":[105],"canonical":[107],"designs.":[108],"then":[110],"examine":[111],"design":[113],"principles":[114],"can":[115],"be":[116],"for":[118],"different":[119],"structures,":[121],"showcasing":[122],"unique":[124],"applications":[125],"security":[127],"attack/defense":[128],"strategies.":[129],"The":[130],"slide":[132],"is":[133],"available":[134],"https://kindlab-fly.github.io/tutorials/WSDM26/":[135]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2026-02-17T00:00:00"}
