{"id":"https://openalex.org/W2072423339","doi":"https://doi.org/10.1109/icacci.2014.6968314","title":"Using Natural Language Processing techniques and fuzzy-semantic similarity for automatic external plagiarism detection","display_name":"Using Natural Language Processing techniques and fuzzy-semantic similarity for automatic external plagiarism detection","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W2072423339","doi":"https://doi.org/10.1109/icacci.2014.6968314","mag":"2072423339"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2014.6968314","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2014.6968314","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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/A5101475086","display_name":"Deepa Gupta","orcid":"https://orcid.org/0000-0002-1041-5125"},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Deepa Gupta","raw_affiliation_strings":["Dept. of Mathematics ASE, Bangalore Amrita Vishwa Vidyapeetham, Bangalore, India","Dept. of Mathematics, ASE, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Mathematics ASE, Bangalore Amrita Vishwa Vidyapeetham, Bangalore, India","institution_ids":["https://openalex.org/I81556334"]},{"raw_affiliation_string":"Dept. of Mathematics, ASE, Bangalore, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112294104","display_name":"K Vani","orcid":null},"institutions":[{"id":"https://openalex.org/I2800889234","display_name":"Manubhai Patel Dental College and Hospital","ror":"https://ror.org/040z06056","country_code":"IN","type":"education","lineage":["https://openalex.org/I2800889234"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K. Vani","raw_affiliation_strings":["Dept. of Computer Science, Ambalal Sarabhai Enterprises Limited, Vadodara, Gujarat, IN","Dept. of Computer Science, ASE, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Ambalal Sarabhai Enterprises Limited, Vadodara, Gujarat, IN","institution_ids":["https://openalex.org/I2800889234"]},{"raw_affiliation_string":"Dept. of Computer Science, ASE, Bangalore, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111813127","display_name":"Charan Kamal Singh","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Charan Kamal Singh","raw_affiliation_strings":["Dept. of Mathematics ASE, Bangalore Amrita Vishwa Vidyapeetham, Bangalore, India","Dept. of Computer Science, ASE, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Mathematics ASE, Bangalore Amrita Vishwa Vidyapeetham, Bangalore, India","institution_ids":["https://openalex.org/I81556334"]},{"raw_affiliation_string":"Dept. of Computer Science, ASE, Bangalore, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.2137,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.95711311,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2694","last_page":"2699"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11492","display_name":"Academic integrity and plagiarism","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11492","display_name":"Academic integrity and plagiarism","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":0.9970999956130981,"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/T10028","display_name":"Topic Modeling","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"}}],"keywords":[{"id":"https://openalex.org/keywords/plagiarism-detection","display_name":"Plagiarism detection","score":0.9389362931251526},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7425690293312073},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6696429252624512},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.624193549156189},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6169523000717163},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6128148436546326},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5859671831130981},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5736205577850342},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.5588483214378357},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5454174280166626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5374155044555664},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5005574226379395},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.4513189494609833},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.44343024492263794},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1408044695854187}],"concepts":[{"id":"https://openalex.org/C2780907237","wikidata":"https://www.wikidata.org/wiki/Q2986238","display_name":"Plagiarism detection","level":2,"score":0.9389362931251526},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7425690293312073},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6696429252624512},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.624193549156189},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6169523000717163},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6128148436546326},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5859671831130981},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5736205577850342},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.5588483214378357},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5454174280166626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5374155044555664},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5005574226379395},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4513189494609833},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.44343024492263794},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1408044695854187},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2014.6968314","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2014.6968314","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W184453455","https://openalex.org/W1496191935","https://openalex.org/W1544505227","https://openalex.org/W2027056760","https://openalex.org/W2069644548","https://openalex.org/W2113403290","https://openalex.org/W2125980212","https://openalex.org/W2147742901","https://openalex.org/W6632555176"],"related_works":["https://openalex.org/W4287126803","https://openalex.org/W3168266056","https://openalex.org/W4250737080","https://openalex.org/W2735162248","https://openalex.org/W2112890327","https://openalex.org/W311440260","https://openalex.org/W2945111072","https://openalex.org/W1496191935","https://openalex.org/W2790804833","https://openalex.org/W2895872292"],"abstract_inverted_index":{"Plagiarism":[0],"is":[1,29,46,57,97],"one":[2],"of":[3,27,44,110],"the":[4,25,41,50,75],"most":[5],"serious":[6],"crimes":[7],"in":[8],"academia":[9],"and":[10,65,108],"research":[11],"fields.":[12],"In":[13],"this":[14],"modern":[15],"era,":[16],"where":[17,40,63],"access":[18],"to":[19,58],"information":[20],"has":[21],"become":[22],"much":[23],"easier,":[24],"act":[26],"plagiarism":[28,37,61],"rapidly":[30],"increasing.":[31],"This":[32],"paper":[33,73],"aligns":[34],"on":[35,80],"external":[36],"detection":[38],"method,":[39],"source":[42],"collection":[43],"documents":[45,52],"available":[47],"against":[48],"which":[49],"suspicious":[51],"are":[53,113],"compared.":[54,114],"Primary":[55],"focus":[56],"detect":[59],"intelligent":[60],"cases":[62],"semantics":[64],"linguistic":[66],"variations":[67],"play":[68],"an":[69],"important":[70],"role.":[71],"The":[72,95],"explores":[74,88],"different":[76,111],"preprocessing":[77],"methods":[78,112],"based":[79],"Natural":[81],"Language":[82],"Processing":[83],"(NLP)":[84],"techniques.":[85],"It":[86],"further":[87],"fuzzy-semantic":[89],"similarity":[90],"measures":[91],"for":[92],"document":[93],"comparisons.":[94],"system":[96],"finally":[98],"evaluated":[99],"using":[100],"PAN":[101],"2012":[102],"<sup":[103],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[104],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[105],"data":[106],"set":[107],"performances":[109]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}