{"id":"https://openalex.org/W2543901820","doi":"https://doi.org/10.1109/iske.2010.5680861","title":"Design and implementation for literature search and impact-based summaries","display_name":"Design and implementation for literature search and impact-based summaries","publication_year":2010,"publication_date":"2010-11-01","ids":{"openalex":"https://openalex.org/W2543901820","doi":"https://doi.org/10.1109/iske.2010.5680861","mag":"2543901820"},"language":"en","primary_location":{"id":"doi:10.1109/iske.2010.5680861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske.2010.5680861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering","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/A5100348802","display_name":"Chong Chen","orcid":"https://orcid.org/0000-0003-2940-2030"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chong Chen","raw_affiliation_strings":["Department of Information Management, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Information Management, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100448864","display_name":"Feng Li","orcid":"https://orcid.org/0000-0002-1094-7455"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Li","raw_affiliation_strings":["Department of Computer Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017626590","display_name":"Xian-Ling Mao","orcid":"https://orcid.org/0000-0001-6795-2311"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianling Mao","raw_affiliation_strings":["Department of Computer Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100963354","display_name":"Jing He","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing He","raw_affiliation_strings":["Department of Computer Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111726041","display_name":"Hongfei Yan","orcid":"https://orcid.org/0000-0001-5914-8585"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongfei Yan","raw_affiliation_strings":["Department of Computer Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100348802"],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.35311106,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"320","last_page":"325"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9957000017166138,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9957000017166138,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9952999949455261,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9884999990463257,"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":0.8088127374649048},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.7012038230895996},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6556289196014404},{"id":"https://openalex.org/keywords/citation","display_name":"Citation","score":0.6037810444831848},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5753594636917114},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.533240556716919},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.48048701882362366},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.47342565655708313},{"id":"https://openalex.org/keywords/mean-reciprocal-rank","display_name":"Mean reciprocal rank","score":0.4731273055076599},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.4316955506801605},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.34637418389320374},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.32956409454345703},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.29683399200439453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25965988636016846},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.10356813669204712}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8088127374649048},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7012038230895996},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6556289196014404},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.6037810444831848},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5753594636917114},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.533240556716919},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.48048701882362366},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.47342565655708313},{"id":"https://openalex.org/C44083865","wikidata":"https://www.wikidata.org/wiki/Q3853443","display_name":"Mean reciprocal rank","level":2,"score":0.4731273055076599},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.4316955506801605},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34637418389320374},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32956409454345703},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.29683399200439453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25965988636016846},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.10356813669204712},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","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},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iske.2010.5680861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske.2010.5680861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1559838295","https://openalex.org/W2043159619","https://openalex.org/W2088336913","https://openalex.org/W2097433297","https://openalex.org/W2107972503","https://openalex.org/W2130766266","https://openalex.org/W2148212498","https://openalex.org/W2153568396","https://openalex.org/W2160992478","https://openalex.org/W2320766222","https://openalex.org/W4240811499","https://openalex.org/W4251504464","https://openalex.org/W6661175907","https://openalex.org/W6674642055","https://openalex.org/W6681966102"],"related_works":["https://openalex.org/W2025252807","https://openalex.org/W4297883370","https://openalex.org/W1974228362","https://openalex.org/W2951400777","https://openalex.org/W2036588957","https://openalex.org/W4302840609","https://openalex.org/W3118323771","https://openalex.org/W2096699795","https://openalex.org/W2111227719","https://openalex.org/W2980701895"],"abstract_inverted_index":{"Based":[0],"on":[1,59],"the":[2,30,46,50,55,60,71,85,90,101,104,107,111,116,119,124,135,148,157,160],"PARADISE":[3],"(Platform":[4],"for":[5,144],"Applying,":[6],"Researching":[7],"and":[8,35,49,88,110],"Developing":[9],"Intelligent":[10],"Search":[11],"Engine),":[12],"we":[13],"construct":[14],"a":[15,20,39,67,94],"literature":[16],"search":[17],"engine":[18],"with":[19],"collection":[21],"of":[22,38,150,159],"papers":[23,48,87],"in":[24,106],"computer":[25],"network":[26],"area.":[27],"Besides":[28],"retrieval,":[29],"system":[31],"also":[32,142],"provides":[33],"comments":[34,42],"impact-based":[36],"summaries":[37],"paper.":[40],"The":[41,63,114,127,138,154],"are":[43,131,141],"extracted":[44],"from":[45,54,84],"citing":[47,61,86],"summary":[51],"is":[52,97],"obtained":[53],"paper":[56,72,109,152],"sentences":[57,83,105,130,140],"impacting":[58],"papers.":[62],"functions":[64],"give":[65],"users":[66,145],"comprehensive":[68],"knowledge":[69],"about":[70],"they":[73],"want.":[74],"We":[75],"first":[76],"illustrate":[77],"how":[78],"to":[79,99,146],"get":[80],"candidate":[81],"comment":[82,139],"generate":[89],"citation":[91,112],"contexts.":[92,113],"Then":[93],"KL-divergence-based":[95],"model":[96],"introduced":[98],"score":[100,117],"similarity":[102],"between":[103],"original":[108],"higher":[115],"is,":[118],"more":[120],"likely":[121],"academic":[122],"impact":[123],"sentence":[125],"has.":[126],"top":[128],"rank":[129],"combined":[132],"together":[133],"as":[134],"paper's":[136],"summary.":[137],"selected":[143],"compare":[147],"details":[149],"related":[151],"work.":[153],"experiment":[155],"exposes":[156],"effect":[158],"proposed":[161],"implementation.":[162]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
