{"id":"https://openalex.org/W2060198719","doi":"https://doi.org/10.4304/jcp.6.3.466-473","title":"A New Intelligent Topic Extraction Model on Web","display_name":"A New Intelligent Topic Extraction Model on Web","publication_year":2011,"publication_date":"2011-03-17","ids":{"openalex":"https://openalex.org/W2060198719","doi":"https://doi.org/10.4304/jcp.6.3.466-473","mag":"2060198719"},"language":"en","primary_location":{"id":"doi:10.4304/jcp.6.3.466-473","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.6.3.466-473","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","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/A5109610013","display_name":"Ming Xie","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ming Xie","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032547552","display_name":"Chanle Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chanle Wu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5051699397","display_name":"Yunlu Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yunlu Zhang","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109610013"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.3894,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.96748689,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"6","issue":"3","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9934999942779541,"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":0.9934999942779541,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9915000200271606,"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/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.9909999966621399,"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":0.7634773850440979},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.6181030869483948},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.36328572034835815},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33646538853645325},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.10248687863349915},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.09023988246917725}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7634773850440979},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.6181030869483948},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.36328572034835815},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33646538853645325},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.10248687863349915},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.09023988246917725}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jcp.6.3.466-473","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.6.3.466-473","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W1998397288","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655","https://openalex.org/W2359140296"],"abstract_inverted_index":{"We":[0,82],"tackle":[1],"the":[2,24,40,56,64,68,78,84,90,100,109,113,135,148,157,160,169],"problem":[3],"of":[4,27,53,67,75,118,122,152,163,165],"topic":[5,132],"extraction":[6,133],"on":[7,112],"Web.":[8],"In":[9],"this":[10],"paper,":[11],"we":[12,129],"propose":[13],"an":[14],"approach":[15,137],"to":[16,34,71,99,147],"implementing":[17],"ontology-based":[18],"data":[19,65,92,120,151],"access":[20],"in":[21,55,97,125,134,156],"WordNet":[22,48],"with":[23,115],"distinguishing":[25],"feature":[26],"optimizing":[28],"density-based":[29],"clustering":[30],"OPTICS":[31,80],"algorithm":[32],"(DBCO)":[33],"extract":[35],"topics.":[36],"Our":[37],"solution":[38],"has":[39],"following":[41],"two":[42],"desirable":[43],"properties:":[44],"i)":[45],"it":[46,62],"uses":[47],"for":[49,141],"word":[50],"sense":[51],"disambiguation":[52],"words":[54],"learning":[57,144,154],"resources":[58],"documents":[59],"and":[60,89,94],"ii)":[61],"mapping":[63],"space":[66,74],"original":[69,79],"method":[70],"a":[72,116],"vector":[73],"sentence,":[76],"improving":[77],"algorithm.":[81],"outline":[83],"interface":[85],"between":[86],"our":[87],"scheme":[88],"current":[91],"Web,":[93],"show":[95],"that,":[96],"contrast":[98],"existing":[101],"approaches,":[102],"no":[103],"exponential":[104],"blowup":[105],"is":[106,138,171],"produced":[107],"by":[108],"DBCO.":[110],"Based":[111],"experiments":[114],"number":[117],"real-world":[119],"sets":[121],"310":[123],"users":[124],"three":[126],"study":[127],"sites,":[128],"demonstrate":[130],"that":[131],"proposed":[136],"efficient,":[139],"especially":[140],"large-scale":[142],"web":[143],"resources.":[145],"According":[146],"user":[149,166],"ratings":[150],"four":[153],"sites":[155],"150":[158],"days,":[159],"average":[161],"rate":[162],"increase":[164],"rating":[167],"after":[168],"system":[170],"used":[172],"reaches":[173],"25.18%.":[174]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}