{"id":"https://openalex.org/W2548606412","doi":"https://doi.org/10.1145/2980258.2980265","title":"Web Data Extraction from Retailers' Site using Semantic Density and Case Based Reasoning","display_name":"Web Data Extraction from Retailers' Site using Semantic Density and Case Based Reasoning","publication_year":2016,"publication_date":"2016-08-25","ids":{"openalex":"https://openalex.org/W2548606412","doi":"https://doi.org/10.1145/2980258.2980265","mag":"2548606412"},"language":"en","primary_location":{"id":"doi:10.1145/2980258.2980265","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2980258.2980265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Informatics and Analytics","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/A5082505884","display_name":"B. Umamageswari","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"B. Umamageswari","raw_affiliation_strings":["Dept. of IT, New Prince Shri Bhavani College of Engineering &amp; Technology"],"affiliations":[{"raw_affiliation_string":"Dept. of IT, New Prince Shri Bhavani College of Engineering &amp; Technology","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112831059","display_name":"R. Kalpana","orcid":null},"institutions":[{"id":"https://openalex.org/I175691731","display_name":"Pondicherry University","ror":"https://ror.org/01a3mef16","country_code":"IN","type":"education","lineage":["https://openalex.org/I175691731"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R. Kalpana","raw_affiliation_strings":["Dept. of CSE, Pondicherry Engineering College"],"affiliations":[{"raw_affiliation_string":"Dept. of CSE, Pondicherry Engineering College","institution_ids":["https://openalex.org/I175691731"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5082505884"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15452665,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T13976","display_name":"Web visibility and informetrics","score":0.9602000117301941,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9067999720573425,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.762881338596344},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.6679151058197021},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.49392372369766235},{"id":"https://openalex.org/keywords/social-semantic-web","display_name":"Social Semantic Web","score":0.4863589406013489},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.4653061032295227},{"id":"https://openalex.org/keywords/semantic-web-stack","display_name":"Semantic Web Stack","score":0.44655975699424744},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4100683629512787},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4011048674583435},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4006612002849579},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3342890739440918},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.06625860929489136}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.762881338596344},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.6679151058197021},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.49392372369766235},{"id":"https://openalex.org/C534406577","wikidata":"https://www.wikidata.org/wiki/Q7550843","display_name":"Social Semantic Web","level":3,"score":0.4863589406013489},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.4653061032295227},{"id":"https://openalex.org/C167379230","wikidata":"https://www.wikidata.org/wiki/Q1026884","display_name":"Semantic Web Stack","level":3,"score":0.44655975699424744},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4100683629512787},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4011048674583435},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4006612002849579},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3342890739440918},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.06625860929489136},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2980258.2980265","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2980258.2980265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Informatics and Analytics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W67553851","https://openalex.org/W109237585","https://openalex.org/W111639511","https://openalex.org/W1509235435","https://openalex.org/W1553019137","https://openalex.org/W2006901716","https://openalex.org/W2037504378","https://openalex.org/W2040757233","https://openalex.org/W2053045757","https://openalex.org/W2065568440","https://openalex.org/W2067416210","https://openalex.org/W2071628657","https://openalex.org/W2085016361","https://openalex.org/W2134172329","https://openalex.org/W2136072238","https://openalex.org/W2138405339","https://openalex.org/W2143309843","https://openalex.org/W2148540243","https://openalex.org/W2150721933","https://openalex.org/W2153072229","https://openalex.org/W2160196229","https://openalex.org/W2171364811","https://openalex.org/W3004954992"],"related_works":["https://openalex.org/W2351790455","https://openalex.org/W2352490706","https://openalex.org/W1561729373","https://openalex.org/W2380556669","https://openalex.org/W2355894329","https://openalex.org/W2800975405","https://openalex.org/W1526116433","https://openalex.org/W2570974996","https://openalex.org/W2745096893","https://openalex.org/W2379099092"],"abstract_inverted_index":{"Deep":[0],"web":[1,4,30,36,72,161],"or":[2],"hidden":[3],"acts":[5],"as":[6,46],"a":[7,47,85,123],"major":[8],"source":[9],"of":[10,49,51],"information":[11],"for":[12,107,126,132,157],"many":[13,96],"data":[14,17,33,133],"analytical":[15],"and":[16,62,118,137,151],"mining":[18],"applications":[19],"like":[20],"product":[21],"intelligence,":[22,24],"competitive":[23],"online":[25],"market":[26],"intelligence":[27],"etc.":[28],"The":[29,71],"pages":[31,39,73],"containing":[32],"from":[34,110],"deep":[35],"are":[37,41,56,74],"dynamic":[38],"which":[40,128,141],"generated":[42],"using":[43,67],"server-side":[44],"templates":[45,150],"result":[48],"submission":[50],"query":[52],"search":[53,60],"form.":[54],"They":[55],"not":[57],"indexed":[58],"to":[59,76,114,147],"engines":[61],"therefore":[63],"cannot":[64],"be":[65],"retrieved":[66],"traditional":[68],"keyword":[69],"search.":[70],"designed":[75],"improve":[77],"user":[78],"experience":[79],"but":[80],"it":[81],"makes":[82,89],"automated":[83],"processing,":[84],"unwieldy":[86],"task.":[87],"This":[88,120],"WDE":[90,108,127],"an":[91],"on-going":[92],"research":[93],"area":[94],"facing":[95],"challenges.":[97],"Many":[98],"solutions":[99],"have":[100],"been":[101],"proposed":[102],"over":[103],"the":[104,145],"past":[105],"decades":[106],"ranging":[109],"hand":[111],"crafted":[112],"rules":[113],"automatic":[115],"template":[116],"deduction":[117],"extraction.":[119],"paper":[121],"explores":[122],"new":[124,149],"framework":[125],"uses":[129],"semantic":[130],"density":[131],"rich":[134],"region":[135],"detection":[136],"case":[138],"based":[139],"reasoning":[140],"helps":[142],"in":[143],"adapting":[144],"system":[146],"learn":[148],"carry":[152],"out":[153],"extraction":[154],"process":[155],"even":[156],"unseen":[158],"newly":[159],"structured":[160],"pages.":[162]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
