{"id":"https://openalex.org/W2741276760","doi":"https://doi.org/10.1145/3077136.3084371","title":"The First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR)","display_name":"The First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR)","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2741276760","doi":"https://doi.org/10.1145/3077136.3084371","mag":"2741276760"},"language":"en","primary_location":{"id":"doi:10.1145/3077136.3084371","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3077136.3084371","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3084371&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=3084371&type=pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027260515","display_name":"Laura Dietz","orcid":"https://orcid.org/0000-0003-1624-3907"},"institutions":[{"id":"https://openalex.org/I161057412","display_name":"University of New Hampshire","ror":"https://ror.org/01rmh9n78","country_code":"US","type":"education","lineage":["https://openalex.org/I161057412"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Laura Dietz","raw_affiliation_strings":["University of New Hampshire, Durham, NC, USA"],"affiliations":[{"raw_affiliation_string":"University of New Hampshire, Durham, NC, USA","institution_ids":["https://openalex.org/I161057412"]}]},{"author_position":"middle","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":false,"raw_author_name":"Chenyan Xiong","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031940626","display_name":"Edgar Meij","orcid":"https://orcid.org/0000-0003-0516-3688"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Edgar Meij","raw_affiliation_strings":["Bloomberg L.P., London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Bloomberg L.P., London, United Kingdom","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5027260515"],"corresponding_institution_ids":["https://openalex.org/I161057412"],"apc_list":null,"apc_paid":null,"fwci":0.8315,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.80635144,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1427","last_page":"1428"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9991999864578247,"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/T11719","display_name":"Data Quality and Management","score":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8002763986587524},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.7469280958175659},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5951929688453674},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5881697535514832},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5649291276931763},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.5326865315437317},{"id":"https://openalex.org/keywords/knowledge-engineering","display_name":"Knowledge engineering","score":0.4631224572658539},{"id":"https://openalex.org/keywords/knowledge-acquisition","display_name":"Knowledge acquisition","score":0.4345681667327881},{"id":"https://openalex.org/keywords/knowledge-integration","display_name":"Knowledge integration","score":0.432138055562973},{"id":"https://openalex.org/keywords/human\u2013computer-information-retrieval","display_name":"Human\u2013computer information retrieval","score":0.42803284525871277},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3984386920928955},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.369951069355011},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25300952792167664},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.1319035291671753}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8002763986587524},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.7469280958175659},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5951929688453674},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5881697535514832},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5649291276931763},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.5326865315437317},{"id":"https://openalex.org/C84685590","wikidata":"https://www.wikidata.org/wiki/Q1540472","display_name":"Knowledge engineering","level":2,"score":0.4631224572658539},{"id":"https://openalex.org/C2777220311","wikidata":"https://www.wikidata.org/wiki/Q6423340","display_name":"Knowledge acquisition","level":2,"score":0.4345681667327881},{"id":"https://openalex.org/C56289545","wikidata":"https://www.wikidata.org/wiki/Q6423376","display_name":"Knowledge integration","level":3,"score":0.432138055562973},{"id":"https://openalex.org/C90288658","wikidata":"https://www.wikidata.org/wiki/Q3318149","display_name":"Human\u2013computer information retrieval","level":3,"score":0.42803284525871277},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3984386920928955},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.369951069355011},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25300952792167664},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.1319035291671753},{"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:10.1145/3077136.3084371","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3077136.3084371","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3084371&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3077136.3084371","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3077136.3084371","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3084371&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G5523903616","display_name":null,"funder_award_id":"IIS-1422676","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309327","display_name":"Google","ror":"https://ror.org/00njsd438"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2741276760.pdf","grobid_xml":"https://content.openalex.org/works/W2741276760.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1494682522","https://openalex.org/W1505839237","https://openalex.org/W1707562537","https://openalex.org/W1988157164","https://openalex.org/W2000411838","https://openalex.org/W2013579020","https://openalex.org/W2026086644","https://openalex.org/W2040873223","https://openalex.org/W2048110207","https://openalex.org/W2049534074","https://openalex.org/W2055629782","https://openalex.org/W2067506377","https://openalex.org/W2074783258","https://openalex.org/W2094728533","https://openalex.org/W2104428806","https://openalex.org/W2107598941","https://openalex.org/W2114628914","https://openalex.org/W2133465274","https://openalex.org/W2161066414","https://openalex.org/W2251647719","https://openalex.org/W2296157284","https://openalex.org/W2340462169","https://openalex.org/W2467775179","https://openalex.org/W2471366537","https://openalex.org/W2583976214","https://openalex.org/W2604165577","https://openalex.org/W2710956079","https://openalex.org/W2741928062","https://openalex.org/W3126976873","https://openalex.org/W4234348624"],"related_works":["https://openalex.org/W1701657755","https://openalex.org/W2046128842","https://openalex.org/W49581478","https://openalex.org/W2012720743","https://openalex.org/W233420516","https://openalex.org/W2066596929","https://openalex.org/W1968756115","https://openalex.org/W3162477347","https://openalex.org/W2714501393","https://openalex.org/W1753267753"],"abstract_inverted_index":{"Knowledge":[0],"graphs":[1,40,127],"have":[2],"been":[3],"used":[4],"throughout":[5],"the":[6,25,51,68,96],"history":[7],"of":[8,14,34,105,114],"information":[9,64,100,133],"retrieval":[10,43,65,101,134],"for":[11,37,132],"a":[12,32,78,112],"variety":[13],"tasks.":[15,44,102],"Technological":[16],"advances":[17],"in":[18,41,54,63,67,121],"knowledge":[19,39,57,84,126],"acquisition":[20,85],"and":[21,86,93,116,124,128],"alignment":[22,87],"technology":[23,59],"from":[24],"last":[26],"few":[27],"years":[28],"gave":[29],"rise":[30],"to":[31,49,76,88,109],"body":[33],"new":[35],"approaches":[36],"utilizing":[38],"text":[42],"It":[45,72],"is":[46,73,108],"therefore":[47],"time":[48,75],"consolidate":[50],"community":[52,113],"efforts":[53],"studying":[55],"how":[56],"graph":[58],"can":[60],"be":[61],"employed":[62],"systems":[66],"most":[69],"effective":[70],"way.":[71],"also":[74],"start":[77],"dialogue":[79],"with":[80],"researchers":[81,115],"working":[82],"on":[83],"ensure":[89],"that":[90],"resulting":[91],"technologies":[92],"algorithms":[94],"meet":[95],"demands":[97],"posed":[98],"by":[99],"The":[103],"goal":[104],"this":[106],"workshop":[107],"bring":[110],"together":[111],"practitioners":[117],"who":[118],"are":[119],"interested":[120],"using,":[122],"aligning,":[123],"constructing":[125],"similar":[129],"semantic":[130],"resources":[131],"applications.":[135]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3}],"updated_date":"2026-04-22T08:38:42.863108","created_date":"2025-10-10T00:00:00"}