{"id":"https://openalex.org/W2049542472","doi":"https://doi.org/10.3115/1117794.1117813","title":"A real-time integration of concept-based search and summarization on Chinese websites","display_name":"A real-time integration of concept-based search and summarization on Chinese websites","publication_year":2000,"publication_date":"2000-01-01","ids":{"openalex":"https://openalex.org/W2049542472","doi":"https://doi.org/10.3115/1117794.1117813","mag":"2049542472"},"language":"en","primary_location":{"id":"doi:10.3115/1117794.1117813","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1117794.1117813","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1117794.1117813","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in natural language processing and very large corpora held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics -","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.3115/1117794.1117813","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017714209","display_name":"Joe Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Joe F. Zhou","raw_affiliation_strings":["Intel China Research Center, Beijing, China","[Intel China Research Center, Beijing, China]"],"affiliations":[{"raw_affiliation_string":"Intel China Research Center, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"[Intel China Research Center, Beijing, China]","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066301734","display_name":"Weiquan Liu","orcid":"https://orcid.org/0000-0002-5934-1139"},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weiquan Liu","raw_affiliation_strings":["Intel China Research Center, Beijing, China","[Intel China Research Center, Beijing, China]"],"affiliations":[{"raw_affiliation_string":"Intel China Research Center, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"[Intel China Research Center, Beijing, China]","institution_ids":["https://openalex.org/I1343180700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5017714209"],"corresponding_institution_ids":["https://openalex.org/I1343180700"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17832267,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"148","last_page":"154"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9970999956130981,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9970999956130981,"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/T10028","display_name":"Topic Modeling","score":0.9948999881744385,"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":0.9854000210762024,"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/automatic-summarization","display_name":"Automatic summarization","score":0.8668757677078247},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8029659390449524},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.6793386936187744},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.646514892578125},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5794131755828857},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.5398025512695312},{"id":"https://openalex.org/keywords/metasearch-engine","display_name":"Metasearch engine","score":0.4168260991573334},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.3482183814048767},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2888944149017334}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8668757677078247},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8029659390449524},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.6793386936187744},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.646514892578125},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5794131755828857},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5398025512695312},{"id":"https://openalex.org/C173979980","wikidata":"https://www.wikidata.org/wiki/Q114106","display_name":"Metasearch engine","level":4,"score":0.4168260991573334},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.3482183814048767},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2888944149017334},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3115/1117794.1117813","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1117794.1117813","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1117794.1117813","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in natural language processing and very large corpora held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics -","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.13.1378","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.13.1378","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://acl.ldc.upenn.edu/W/W00/W00-1319.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.415.7412","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.415.7412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.jhu.edu/~yarowsky/acl2000/sigdat/zhou2.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3115/1117794.1117813","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1117794.1117813","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1117794.1117813","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in natural language processing and very large corpora held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics -","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.699999988079071,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2049542472.pdf","grobid_xml":"https://content.openalex.org/works/W2049542472.grobid-xml"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W150654272","https://openalex.org/W1532008752","https://openalex.org/W1982451429","https://openalex.org/W2093583221","https://openalex.org/W2132354939","https://openalex.org/W2158291389","https://openalex.org/W4250832156"],"related_works":["https://openalex.org/W193889389","https://openalex.org/W4206551437","https://openalex.org/W2060088491","https://openalex.org/W4233958997","https://openalex.org/W3210975432","https://openalex.org/W2547614144","https://openalex.org/W2184474188","https://openalex.org/W2533706070","https://openalex.org/W2066869521","https://openalex.org/W2105258824"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"an":[3,33,52,157],"intuitive":[4],"search":[5,30,49,129,144],"environment":[6],"for":[7,80],"casual":[8],"and":[9,32,45,56,84,156],"novice":[10],"Chinese":[11],"users":[12],"over":[13],"Internet.":[14],"The":[15,107],"system":[16],"consists":[17],"of":[18,71,89,112,117,126,152],"four":[19],"components,":[20],"a":[21,24,28,77,81,87],"concept":[22,66,79,95],"network,":[23,100],"query":[25,63],"reformulation":[26],"model,":[27],"standard":[29],"engine,":[31],"automatic":[34],"summarizer.":[35],"When":[36],"the":[37,48,58,62,65,94,99,101,110,123,133,149,153,164,168],"user":[38,108,169],"enters":[39],"one":[40,114],"or":[41,115],"more":[42,116],"fairly":[43],"general":[44],"vague":[46],"terms,":[47],"engine":[50,160],"returns":[51],"initial":[53],"answer":[54],"set,":[55],"at":[57],"same":[59],"time":[60],"pipes":[61],"to":[64,76,86,121],"network":[67],"that":[68],"connects":[69],"thousands":[70],"conceptual":[72,91,103],"nodes,":[73],"each":[74,143],"referring":[75],"specific":[78,119],"given":[82],"domain":[83],"pointing":[85],"number":[88],"associated":[90],"terms.":[92],"If":[93],"is":[96,140],"located":[97],"in":[98],"related":[102],"terms":[104,120],"are":[105],"displayed.":[106],"has":[109],"option":[111],"using":[113],"these":[118],"reformulate":[122],"next":[124],"round":[125],"searches.":[127],"Such":[128],"iterations":[130],"continue":[131],"until":[132],"user'":[134],"s":[135],"ultimate":[136],"information":[137],"seeking":[138],"goal":[139],"reached.":[141],"For":[142],"iteration,":[145],"auto":[146],"summarizer":[147],"presents":[148],"main":[150],"theme":[151],"document":[154],"retrieved":[155],"optional":[158],"text-to-speech":[159],"can":[161],"read":[162],"out":[163],"output":[165],"summary":[166],"if":[167],"prefers.":[170]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
