{"id":"https://openalex.org/W2908621254","doi":"https://doi.org/10.1145/3308774.3308808","title":"Text Representation, Retrieval, and Understanding with Knowledge Graphs","display_name":"Text Representation, Retrieval, and Understanding with Knowledge Graphs","publication_year":2019,"publication_date":"2019-01-17","ids":{"openalex":"https://openalex.org/W2908621254","doi":"https://doi.org/10.1145/3308774.3308808","mag":"2908621254"},"language":"en","primary_location":{"id":"doi:10.1145/3308774.3308808","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3308774.3308808","pdf_url":null,"source":{"id":"https://openalex.org/S6756005","display_name":"ACM SIGIR Forum","issn_l":"0163-5840","issn":["0163-5840","1558-0229"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGIR Forum","raw_type":"journal-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/A5102363883","display_name":"Chenyan Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chenyan Xiong","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5102363883"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":0.2902,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.64492187,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"52","issue":"2","first_page":"180","last_page":"181"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9976999759674072,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9976000189781189,"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":0.8863801956176758},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6668519973754883},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5897874236106873},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5885337591171265},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5507378578186035},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5500586628913879},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.5036279559135437},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.47487422823905945},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4619389772415161},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4474400281906128}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8863801956176758},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6668519973754883},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5897874236106873},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5885337591171265},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5507378578186035},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5500586628913879},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.5036279559135437},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.47487422823905945},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4619389772415161},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4474400281906128},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3308774.3308808","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3308774.3308808","pdf_url":null,"source":{"id":"https://openalex.org/S6756005","display_name":"ACM SIGIR Forum","issn_l":"0163-5840","issn":["0163-5840","1558-0229"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGIR Forum","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":85,"referenced_works":["https://openalex.org/W2808882","https://openalex.org/W11620817","https://openalex.org/W104184427","https://openalex.org/W1512387364","https://openalex.org/W1532470117","https://openalex.org/W1552847225","https://openalex.org/W1587004086","https://openalex.org/W1638567743","https://openalex.org/W1707562537","https://openalex.org/W1932742904","https://openalex.org/W1956559956","https://openalex.org/W1964348731","https://openalex.org/W1973289172","https://openalex.org/W1973435495","https://openalex.org/W1979963107","https://openalex.org/W1981419611","https://openalex.org/W1984380664","https://openalex.org/W1989885825","https://openalex.org/W1990589796","https://openalex.org/W2000411838","https://openalex.org/W2011329312","https://openalex.org/W2015441003","https://openalex.org/W2016753842","https://openalex.org/W2022166150","https://openalex.org/W2022322548","https://openalex.org/W2042980227","https://openalex.org/W2044986849","https://openalex.org/W2047221353","https://openalex.org/W2049534074","https://openalex.org/W2052088591","https://openalex.org/W2055629782","https://openalex.org/W2058200372","https://openalex.org/W2062270497","https://openalex.org/W2067506377","https://openalex.org/W2077948748","https://openalex.org/W2081477775","https://openalex.org/W2087335910","https://openalex.org/W2091158010","https://openalex.org/W2094728533","https://openalex.org/W2102563107","https://openalex.org/W2104049510","https://openalex.org/W2108877333","https://openalex.org/W2119953525","https://openalex.org/W2120101509","https://openalex.org/W2123442489","https://openalex.org/W2127795553","https://openalex.org/W2129245267","https://openalex.org/W2131357087","https://openalex.org/W2131599243","https://openalex.org/W2132220874","https://openalex.org/W2136189984","https://openalex.org/W2145257974","https://openalex.org/W2148212498","https://openalex.org/W2151048449","https://openalex.org/W2153579005","https://openalex.org/W2153635508","https://openalex.org/W2159859920","https://openalex.org/W2161066414","https://openalex.org/W2168588781","https://openalex.org/W2169213601","https://openalex.org/W2170245882","https://openalex.org/W2184957013","https://openalex.org/W2247412337","https://openalex.org/W2250818300","https://openalex.org/W2251079237","https://openalex.org/W2251225846","https://openalex.org/W2252231772","https://openalex.org/W2275624892","https://openalex.org/W2283472011","https://openalex.org/W2340462169","https://openalex.org/W2461925906","https://openalex.org/W2467775179","https://openalex.org/W2517031683","https://openalex.org/W2536015822","https://openalex.org/W2578883687","https://openalex.org/W2583976214","https://openalex.org/W2604165577","https://openalex.org/W2648699835","https://openalex.org/W2710956079","https://openalex.org/W2740492458","https://openalex.org/W2767334383","https://openalex.org/W2783640434","https://openalex.org/W2963157366","https://openalex.org/W3102654612","https://openalex.org/W3158986179"],"related_works":["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/W64303689","https://openalex.org/W2912859789","https://openalex.org/W3080107865","https://openalex.org/W3103476451"],"abstract_inverted_index":{"This":[0],"dissertation":[1,56],"aims":[2],"to":[3],"improve":[4],"text":[5,39,65],"representation,":[6],"retrieval,":[7],"and":[8,23,33,41,48,60,73],"understanding":[9,40],"with":[10,63],"knowledge":[11,53],"graphs.":[12],"Previous":[13],"information":[14],"retrieval":[15,25],"systems":[16],"were":[17],"mostly":[18],"built":[19],"upon":[20],"bag-ofwords":[21],"representations":[22,32],"frequency-based":[24],"models.":[26],"Effective":[27],"as":[28],"they":[29],"are,":[30],"wordbased":[31],"frequency":[34],"signals":[35],"only":[36],"provide":[37],"shallow":[38],"have":[42],"various":[43],"intrinsic":[44],"challenges.":[45],"Utilizing":[46],"entities":[47],"their":[49],"structured":[50],"semantics":[51],"from":[52],"graphs,":[54],"this":[55],"goes":[57],"beyond":[58],"bag-of-words":[59],"improves":[61],"search":[62],"richer":[64],"representations,":[66],"customized":[67],"semantic":[68],"structures,":[69],"sophisticated":[70],"ranking":[71],"models":[72],"neural":[74],"networks.":[75]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
