{"id":"https://openalex.org/W2103215912","doi":"https://doi.org/10.1109/fskd.2012.6234075","title":"OntoLabel - data labeling for deep web using WordNet","display_name":"OntoLabel - data labeling for deep web using WordNet","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W2103215912","doi":"https://doi.org/10.1109/fskd.2012.6234075","mag":"2103215912"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2012.6234075","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2012.6234075","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th International Conference on Fuzzy Systems and Knowledge Discovery","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/A5076993574","display_name":"Jer Lang Hong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210143550","display_name":"Taylor's University","ror":"https://ror.org/0498pcx51","country_code":"MY","type":"education","lineage":["https://openalex.org/I4210143550"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Jer Lang Hong","raw_affiliation_strings":["School of Computing and IT, Taylor's University College, Malaysia","School of Computing and IT, Taylor\u2019s University, Malaysia"],"affiliations":[{"raw_affiliation_string":"School of Computing and IT, Taylor's University College, Malaysia","institution_ids":["https://openalex.org/I4210143550"]},{"raw_affiliation_string":"School of Computing and IT, Taylor\u2019s University, Malaysia","institution_ids":["https://openalex.org/I4210143550"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5076993574"],"corresponding_institution_ids":["https://openalex.org/I4210143550"],"apc_list":null,"apc_paid":null,"fwci":0.7106,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.81985482,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1320","last_page":"1324"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":1.0,"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":1.0,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9768999814987183,"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/T13976","display_name":"Web visibility and informetrics","score":0.9656000137329102,"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/wordnet","display_name":"WordNet","score":0.9353559017181396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8310462236404419},{"id":"https://openalex.org/keywords/lexical-database","display_name":"Lexical database","score":0.7188159227371216},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6634277105331421},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5243949294090271},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.49876880645751953},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.46962738037109375},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43367907404899597},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41478148102760315},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.36282235383987427},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07236406207084656}],"concepts":[{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.9353559017181396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8310462236404419},{"id":"https://openalex.org/C2780403423","wikidata":"https://www.wikidata.org/wiki/Q6537700","display_name":"Lexical database","level":3,"score":0.7188159227371216},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6634277105331421},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5243949294090271},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.49876880645751953},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.46962738037109375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43367907404899597},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41478148102760315},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36282235383987427},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07236406207084656},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2012.6234075","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2012.6234075","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th International Conference on Fuzzy Systems and Knowledge Discovery","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1569415500","https://openalex.org/W2015551056","https://openalex.org/W2035302703","https://openalex.org/W2038721957","https://openalex.org/W2069388662","https://openalex.org/W2098162425","https://openalex.org/W2100935296","https://openalex.org/W2127128140","https://openalex.org/W2127563440","https://openalex.org/W2128341918","https://openalex.org/W2133669904","https://openalex.org/W2134126205","https://openalex.org/W2134907429","https://openalex.org/W2136480620","https://openalex.org/W2140887277","https://openalex.org/W2143309843","https://openalex.org/W2160189941","https://openalex.org/W2170626955","https://openalex.org/W2171364811","https://openalex.org/W4232071090","https://openalex.org/W4233962457","https://openalex.org/W6634008025","https://openalex.org/W6675339850","https://openalex.org/W6678868981","https://openalex.org/W6679793691","https://openalex.org/W6681340555","https://openalex.org/W6683516198","https://openalex.org/W7016219665"],"related_works":["https://openalex.org/W2163292279","https://openalex.org/W2749919855","https://openalex.org/W2040624659","https://openalex.org/W3196687212","https://openalex.org/W4241608514","https://openalex.org/W2321197640","https://openalex.org/W11573300","https://openalex.org/W1209047547","https://openalex.org/W1515748455","https://openalex.org/W2134068523"],"abstract_inverted_index":{"Wrappers":[0],"are":[1,67],"used":[2],"to":[3,20,35,46,59],"extract":[4],"relevant":[5],"information":[6],"from":[7],"the":[8,18,22,48,106,121,124],"deep":[9],"web,":[10],"align,":[11],"tabulate,":[12],"and":[13,25,32,114],"label":[14,36,49,93,119,133],"these":[15],"data":[16,63,82,98,107,112,134],"for":[17,50,80,87,105],"users":[19],"recognize":[21],"contents":[23,122],"simply":[24],"quickly.":[26],"Existing":[27],"wrappers":[28,39],"use":[29,40],"DOM":[30],"Tree":[31],"visual":[33],"cue":[34],"data.":[37,125],"These":[38],"several":[41],"sets":[42],"of":[43,62,97,110,123],"heuristic":[44],"rules":[45],"determine":[47],"a":[51,94],"particular":[52],"data,":[53],"which":[54,66],"may":[55],"not":[56],"be":[57],"applicable":[58],"certain":[60],"groups":[61],"with":[64,136],"words":[65],"nearly":[68],"similar":[69],"in":[70],"meaning.":[71],"In":[72],"this":[73],"paper,":[74],"we":[75],"propose":[76],"an":[77],"ontological":[78],"wrapper":[79,91,117,131],"labeling":[81],"using":[83,101,120],"existing":[84],"lexical":[85],"database":[86],"English,":[88],"WordNet.":[89],"Our":[90],"could":[92,132],"wide":[95],"range":[96],"records":[99,135],"without":[100],"any":[102],"specific":[103],"assumptions":[104],"structure.":[108],"Instead":[109],"examining":[111],"structure":[113],"layout,":[115],"our":[116,130],"assigns":[118],"Experimental":[126],"results":[127],"show":[128],"that":[129],"high":[137],"accuracy.":[138]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
