{"id":"https://openalex.org/W4400524842","doi":"https://doi.org/10.1145/3626772.3657665","title":"A Question-Answering Assistant over Personal Knowledge Graph","display_name":"A Question-Answering Assistant over Personal Knowledge Graph","publication_year":2024,"publication_date":"2024-07-10","ids":{"openalex":"https://openalex.org/W4400524842","doi":"https://doi.org/10.1145/3626772.3657665"},"language":"en","primary_location":{"id":"doi:10.1145/3626772.3657665","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3626772.3657665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"article","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/A5009327148","display_name":"Lingyuan Liu","orcid":"https://orcid.org/0009-0008-9777-4550"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingyuan Liu","raw_affiliation_strings":["Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0008-9777-4550","affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071973358","display_name":"Huifang Du","orcid":"https://orcid.org/0000-0001-9152-8027"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huifang Du","raw_affiliation_strings":["Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-9152-8027","affiliations":[{"raw_affiliation_string":"Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103197292","display_name":"Xiaolian Zhang","orcid":"https://orcid.org/0000-0002-9641-2848"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolian Zhang","raw_affiliation_strings":["Huawei Technologies Co. Ltd., Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-9641-2848","affiliations":[{"raw_affiliation_string":"Huawei Technologies Co. Ltd., Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mengying Guo","orcid":"https://orcid.org/0009-0000-1824-4108"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengying Guo","raw_affiliation_strings":["Huawei Technologies Co. Ltd., Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0000-1824-4108","affiliations":[{"raw_affiliation_string":"Huawei Technologies Co. Ltd., Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039059501","display_name":"Haofen Wang","orcid":"https://orcid.org/0000-0003-3018-3824"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haofen Wang","raw_affiliation_strings":["Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-3018-3824","affiliations":[{"raw_affiliation_string":"Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100377137","display_name":"Meng Wang","orcid":"https://orcid.org/0000-0002-2293-1709"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Wang","raw_affiliation_strings":["Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-2293-1709","affiliations":[{"raw_affiliation_string":"Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6109,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72654957,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2708","last_page":"2712"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9980999827384949,"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":0.9980999827384949,"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":0.9937999844551086,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9879999756813049,"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/computer-science","display_name":"Computer science","score":0.7134436964988708},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.6267019510269165},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.4723946750164032},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4414404332637787},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4255387783050537},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.34076619148254395},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.21203342080116272}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7134436964988708},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.6267019510269165},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.4723946750164032},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4414404332637787},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4255387783050537},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.34076619148254395},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.21203342080116272}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3626772.3657665","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3626772.3657665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2080133951","https://openalex.org/W2595551253","https://openalex.org/W2967884905","https://openalex.org/W2975412433","https://openalex.org/W3034862985","https://openalex.org/W3128120479","https://openalex.org/W3136665819","https://openalex.org/W4221143046","https://openalex.org/W4284675146","https://openalex.org/W4285147034","https://openalex.org/W4290927860","https://openalex.org/W4293261897","https://openalex.org/W4293262045","https://openalex.org/W4385766777"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2384605597","https://openalex.org/W2387743295","https://openalex.org/W2115758952","https://openalex.org/W3082787378","https://openalex.org/W2136007095","https://openalex.org/W2366230879","https://openalex.org/W3208425359","https://openalex.org/W2349927912","https://openalex.org/W2054026175"],"abstract_inverted_index":{"We":[0],"develop":[1],"a":[2,17,35],"Personal":[3],"Knowledge":[4],"Graph":[5],"Question-Answering":[6],"(PKGQA)":[7],"assistant,":[8],"seamlessly":[9],"integrating":[10],"information":[11,27],"from":[12],"multiple":[13],"mobile":[14],"applications":[15],"into":[16,67],"unified":[18],"and":[19,29,57,71,83],"user-friendly":[20],"query":[21],"interface":[22],"to":[23,65],"offer":[24],"users":[25],"convenient":[26],"retrieval":[28],"personalized":[30],"knowledge":[31],"services.":[32],"Based":[33],"on":[34,79],"fine-grained":[36],"schema":[37],"customized":[38],"for":[39],"PKG,":[40],"the":[41,80],"PKGQA":[42,74],"system":[43,75,92],"in":[44,87,102],"this":[45],"paper":[46],"comprises":[47],"Symbolic":[48],"Semantic":[49,55,59],"Parsing,":[50],"Frequently":[51],"Asked":[52],"Question":[53],"(FAQ)":[54],"Matching,":[56],"Neural":[58],"Parsing":[60],"modules,":[61],"which":[62,99],"are":[63],"designed":[64],"take":[66],"account":[68],"both":[69],"accuracy":[70,78],"efficiency.":[72],"The":[73],"achieves":[76],"high":[77],"constructed":[81],"dataset":[82],"demonstrates":[84],"good":[85],"performance":[86],"answering":[88],"complex":[89],"questions.":[90],"Our":[91],"is":[93,100],"implemented":[94],"through":[95],"an":[96],"Android":[97],"application,":[98],"shown":[101],"https://youtu.be/p732U5KPEq4.":[103]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}