{"id":"https://openalex.org/W4312515853","doi":"https://doi.org/10.1109/iisa56318.2022.9904390","title":"Question Answering Using Semantic Query Graphs: A Replication Study","display_name":"Question Answering Using Semantic Query Graphs: A Replication Study","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4312515853","doi":"https://doi.org/10.1109/iisa56318.2022.9904390"},"language":"en","primary_location":{"id":"doi:10.1109/iisa56318.2022.9904390","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iisa56318.2022.9904390","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 13th International Conference on Information, Intelligence, Systems &amp; Applications (IISA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5087046182","display_name":"Alexandru Ianta","orcid":"https://orcid.org/0000-0003-0276-0620"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Alexandru Ianta","raw_affiliation_strings":["University of Alberta,Department of Computing Science,Edmonton,Canada","Department of Computing Science, University of Alberta, Edmonton, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alberta,Department of Computing Science,Edmonton,Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"Department of Computing Science, University of Alberta, Edmonton, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048978461","display_name":"Eleni Stroulia","orcid":"https://orcid.org/0000-0002-8784-8236"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Eleni Stroulia","raw_affiliation_strings":["University of Alberta,Department of Computing Science,Edmonton,Canada","Department of Computing Science, University of Alberta, Edmonton, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alberta,Department of Computing Science,Edmonton,Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"Department of Computing Science, University of Alberta, Edmonton, Canada","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154425047"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15477962,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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":0.9998000264167786,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9980000257492065,"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":0.9977999925613403,"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/computer-science","display_name":"Computer science","score":0.8556132316589355},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.8196349143981934},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5774937272071838},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.5769560933113098},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5185295343399048},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4852845370769501},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.48470330238342285},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4613603949546814},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44256591796875},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.42333346605300903},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.3025472164154053},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1483650505542755}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8556132316589355},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.8196349143981934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5774937272071838},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.5769560933113098},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5185295343399048},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4852845370769501},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.48470330238342285},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4613603949546814},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44256591796875},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.42333346605300903},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.3025472164154053},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1483650505542755},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iisa56318.2022.9904390","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iisa56318.2022.9904390","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 13th International Conference on Information, Intelligence, Systems &amp; Applications (IISA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W102708294","https://openalex.org/W1577425432","https://openalex.org/W1992712260","https://openalex.org/W2011992920","https://openalex.org/W2250750514","https://openalex.org/W2766317792","https://openalex.org/W2896457183","https://openalex.org/W2999791086","https://openalex.org/W3184966646","https://openalex.org/W4287023303","https://openalex.org/W6691288088","https://openalex.org/W6755207826","https://openalex.org/W6800783622"],"related_works":["https://openalex.org/W2384605597","https://openalex.org/W2387743295","https://openalex.org/W2776293731","https://openalex.org/W2610919777","https://openalex.org/W4401140950","https://openalex.org/W2965230088","https://openalex.org/W1534806717","https://openalex.org/W4293389049","https://openalex.org/W4243630814","https://openalex.org/W4400650325"],"abstract_inverted_index":{"Semantic":[0],"methods":[1],"for":[2,10,34,43,129],"natural":[3],"language":[4],"question":[5,45,51],"answering":[6,46],"are":[7,109],"better":[8],"suited":[9],"domain-specific":[11,21],"applications":[12],"than":[13],"their":[14],"deep-learning":[15],"counterparts":[16],"because":[17],"they":[18],"can":[19],"utilize":[20],"structured":[22],"data":[23],"and":[24,81],"do":[25],"not":[26],"require":[27],"the":[28,49,67,72,85,94,101],"large":[29],"training":[30],"datasets":[31],"typically":[32],"necessary":[33],"deep":[35],"learning.":[36],"Zou":[37],"et":[38],"al.":[39],"describe":[40],"a":[41,55,64,126],"method":[42,102],"RDF-based":[44],"in":[47,98],"which":[48,108],"input":[50],"is":[52,60],"transformed":[53],"into":[54],"semantic":[56],"query":[57],"graph":[58,70],"that":[59],"subsequently":[61],"mapped":[62],"to":[63],"subgraph":[65],"of":[66,107,115,118],"domain":[68],"knowledge":[69],"containing":[71],"answer.":[73],"In":[74],"this":[75,79,99],"work":[76],"we":[77],"replicate":[78],"approach":[80],"evaluate":[82],"it":[83],"using":[84],"Question":[86],"Answering":[87],"over":[88],"Linked":[89],"Data":[90],"(QALD)":[91],"dataset.":[92],"Of":[93],"131":[95],"relevant":[96],"questions":[97],"dataset,":[100],"answers":[103],"41":[104],"questions,":[105],"23":[106],"answered":[110],"correctly,":[111],"achieving":[112],"an":[113],"Fl-score":[114],"0.201.":[116],"Integration":[117],"state-of-the-art":[119],"named":[120],"entity":[121],"recognition":[122],"(NER)":[123],"techniques":[124],"provide":[125],"path":[127],"forward":[128],"improving":[130],"performance.":[131]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
