{"id":"https://openalex.org/W2066223936","doi":"https://doi.org/10.1145/1871962.1871970","title":"Cross language information retrieval based on concept base and language grid","display_name":"Cross language information retrieval based on concept base and language grid","publication_year":2010,"publication_date":"2010-10-30","ids":{"openalex":"https://openalex.org/W2066223936","doi":"https://doi.org/10.1145/1871962.1871970","mag":"2066223936"},"language":"en","primary_location":{"id":"doi:10.1145/1871962.1871970","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1871962.1871970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the third workshop on Exploiting semantic annotations 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/A5016400237","display_name":"Pham Huy Anh","orcid":null},"institutions":[{"id":"https://openalex.org/I119806805","display_name":"Nagaoka University","ror":"https://ror.org/02rcadd38","country_code":"JP","type":"education","lineage":["https://openalex.org/I119806805"]},{"id":"https://openalex.org/I85922643","display_name":"Nagaoka University of Technology","ror":"https://ror.org/00ys1hz88","country_code":"JP","type":"education","lineage":["https://openalex.org/I85922643"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Pham Huy Anh","raw_affiliation_strings":["Nagaoka University of Technology, Nagaoka, Niigata, Japan"],"affiliations":[{"raw_affiliation_string":"Nagaoka University of Technology, Nagaoka, Niigata, Japan","institution_ids":["https://openalex.org/I119806805","https://openalex.org/I85922643"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108680481","display_name":"Takashi Yukawa","orcid":null},"institutions":[{"id":"https://openalex.org/I119806805","display_name":"Nagaoka University","ror":"https://ror.org/02rcadd38","country_code":"JP","type":"education","lineage":["https://openalex.org/I119806805"]},{"id":"https://openalex.org/I85922643","display_name":"Nagaoka University of Technology","ror":"https://ror.org/00ys1hz88","country_code":"JP","type":"education","lineage":["https://openalex.org/I85922643"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yukawa Takashi","raw_affiliation_strings":["Nagaoka University of Technology, Nagaoka, Niigata, Japan"],"affiliations":[{"raw_affiliation_string":"Nagaoka University of Technology, Nagaoka, Niigata, Japan","institution_ids":["https://openalex.org/I119806805","https://openalex.org/I85922643"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5016400237"],"corresponding_institution_ids":["https://openalex.org/I119806805","https://openalex.org/I85922643"],"apc_list":null,"apc_paid":null,"fwci":2.7748,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.92580606,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"11","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14025","display_name":"Educational Technology and Assessment","score":0.9700999855995178,"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"}},"topics":[{"id":"https://openalex.org/T14025","display_name":"Educational Technology and Assessment","score":0.9700999855995178,"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"}},{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9416999816894531,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9332000017166138,"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":0.8768318891525269},{"id":"https://openalex.org/keywords/cross-language-information-retrieval","display_name":"Cross-language information retrieval","score":0.72176194190979},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6678677201271057},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6371610760688782},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.6143460869789124},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.5309960842132568},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5185645222663879},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.4870884418487549},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.43622446060180664},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.42501431703567505},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.422088623046875},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.42145439982414246}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8768318891525269},{"id":"https://openalex.org/C2778842860","wikidata":"https://www.wikidata.org/wiki/Q986551","display_name":"Cross-language information retrieval","level":3,"score":0.72176194190979},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6678677201271057},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6371610760688782},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.6143460869789124},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.5309960842132568},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5185645222663879},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.4870884418487549},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.43622446060180664},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.42501431703567505},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.422088623046875},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.42145439982414246},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1871962.1871970","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1871962.1871970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the third workshop on Exploiting semantic annotations in information retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8299999833106995,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2144211451"],"related_works":["https://openalex.org/W2023062464","https://openalex.org/W2036242317","https://openalex.org/W2208286499","https://openalex.org/W2059795162","https://openalex.org/W2939382998","https://openalex.org/W4232943678","https://openalex.org/W1168010826","https://openalex.org/W2111299261","https://openalex.org/W3212971727","https://openalex.org/W2389389220"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"query":[3,61],"translation":[4,31],"using":[5],"multiple":[6,29],"language":[7],"resources":[8],"and":[9,85,120],"concept":[10,80],"base":[11,81],"method":[12],"for":[13],"the":[14,21,24,34,38,49,53,59,90,97,101,105,108,113,117,126,134,139],"Cross":[15],"Language":[16,35],"Information":[17],"Retrieval":[18],"(CLIR).":[19],"In":[20],"proposed":[22,109,131],"method,":[23,110],"queries":[25,39],"are":[26,40,62,75,94],"translated":[27,43,60],"by":[28,42,77,100],"machine":[30],"systems":[32],"on":[33],"Grid.":[36],"Then":[37],"expanded":[41],"compound":[44,86],"words,":[45],"noun":[46,83],"phrases":[47,84],"with":[48,64,82,96,125,138],"bilingual":[50],"dictionary.":[51],"At":[52],"same":[54],"time,":[55],"document":[56],"related":[57],"to":[58,123],"retrieved":[63,73,99],"a":[65,78],"TF-IDF":[66],"term":[67],"weighting":[68],"model.":[69,103],"Then,":[70],"top":[71],"100":[72],"documents":[74],"re-ranked":[76],"specificity-considered":[79],"words":[87],"extracted":[88],"from":[89],"query.":[91],"Re-ranked":[92],"results":[93,98],"combined":[95],"Probabilistic":[102],"For":[104],"evaluation":[106],"of":[107,116],"we":[111],"use":[112],"average":[114],"precision":[115,121,136],"interpolated":[118],"recall":[119],"at":[122],"compare":[124],"NTCIR1":[127,140],"participation":[128],"systems.":[129,142],"The":[130],"system":[132],"achieved":[133],"highest":[135],"compared":[137],"participating":[141]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}