{"id":"https://openalex.org/W2492408880","doi":"https://doi.org/10.1145/2912845.2912880","title":"Multi-Layer Semantics Based Document Clustering","display_name":"Multi-Layer Semantics Based Document Clustering","publication_year":2016,"publication_date":"2016-06-02","ids":{"openalex":"https://openalex.org/W2492408880","doi":"https://doi.org/10.1145/2912845.2912880","mag":"2492408880"},"language":"en","primary_location":{"id":"doi:10.1145/2912845.2912880","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2912845.2912880","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Web Intelligence, Mining and Semantics","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/A5086471874","display_name":"Muhammad Rafi","orcid":"https://orcid.org/0000-0002-3673-5979"},"institutions":[{"id":"https://openalex.org/I201384688","display_name":"National University of Computer and Emerging Sciences","ror":"https://ror.org/003eyb898","country_code":"PK","type":"education","lineage":["https://openalex.org/I201384688"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Rafi","raw_affiliation_strings":["Assistant Professor, National University of Computer and Emerging Sciences Karachi, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Assistant Professor, National University of Computer and Emerging Sciences Karachi, Pakistan","institution_ids":["https://openalex.org/I201384688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078167720","display_name":"Muhammad Sharif","orcid":"https://orcid.org/0000-0002-5121-8320"},"institutions":[{"id":"https://openalex.org/I201384688","display_name":"National University of Computer and Emerging Sciences","ror":"https://ror.org/003eyb898","country_code":"PK","type":"education","lineage":["https://openalex.org/I201384688"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Naveed Sharif","raw_affiliation_strings":["National University of Computer and Emerging Sciences Karachi, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Computer and Emerging Sciences Karachi, Pakistan","institution_ids":["https://openalex.org/I201384688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053456121","display_name":"Waleed Arshad","orcid":null},"institutions":[{"id":"https://openalex.org/I201384688","display_name":"National University of Computer and Emerging Sciences","ror":"https://ror.org/003eyb898","country_code":"PK","type":"education","lineage":["https://openalex.org/I201384688"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Waleed Arshad","raw_affiliation_strings":["National University of Computer and Emerging Sciences Karachi, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Computer and Emerging Sciences Karachi, Pakistan","institution_ids":["https://openalex.org/I201384688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091003094","display_name":"Sheharyar Mohsin","orcid":null},"institutions":[{"id":"https://openalex.org/I201384688","display_name":"National University of Computer and Emerging Sciences","ror":"https://ror.org/003eyb898","country_code":"PK","type":"education","lineage":["https://openalex.org/I201384688"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Sheharyar Mohsin","raw_affiliation_strings":["National University of Computer and Emerging Sciences Karachi, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Computer and Emerging Sciences Karachi, Pakistan","institution_ids":["https://openalex.org/I201384688"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052120747","display_name":"Habibullah Rafay","orcid":null},"institutions":[{"id":"https://openalex.org/I201384688","display_name":"National University of Computer and Emerging Sciences","ror":"https://ror.org/003eyb898","country_code":"PK","type":"education","lineage":["https://openalex.org/I201384688"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Habibullah Rafay","raw_affiliation_strings":["National University of Computer and Emerging Sciences Karachi, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Computer and Emerging Sciences Karachi, Pakistan","institution_ids":["https://openalex.org/I201384688"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I201384688"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.0456549,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9980000257492065,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9980000257492065,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9972000122070312,"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":0.9957000017166138,"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/document-clustering","display_name":"Document clustering","score":0.7963792085647583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.792608380317688},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7625584602355957},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5475594997406006},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.518913745880127},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5104972124099731},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.47869589924812317},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.43359988927841187},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32038965821266174}],"concepts":[{"id":"https://openalex.org/C177937566","wikidata":"https://www.wikidata.org/wiki/Q4223102","display_name":"Document clustering","level":3,"score":0.7963792085647583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.792608380317688},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7625584602355957},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5475594997406006},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.518913745880127},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5104972124099731},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47869589924812317},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.43359988927841187},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32038965821266174},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2912845.2912880","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2912845.2912880","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Web Intelligence, Mining and Semantics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1546703457","https://openalex.org/W1971785050","https://openalex.org/W2041490212","https://openalex.org/W2074449313","https://openalex.org/W2137763598","https://openalex.org/W2140156730","https://openalex.org/W6785867124"],"related_works":["https://openalex.org/W4376653378","https://openalex.org/W2019737068","https://openalex.org/W2899601636","https://openalex.org/W4254379378","https://openalex.org/W3015674157","https://openalex.org/W4206655101","https://openalex.org/W4237592971","https://openalex.org/W2898077673","https://openalex.org/W4385239468","https://openalex.org/W4200476258"],"abstract_inverted_index":{"Document":[0],"clustering":[1,31,65,189],"is":[2],"an":[3,176],"unsupervised":[4],"machine":[5],"learning":[6],"method":[7,28],"that":[8,60,79,110,147],"separates":[9],"a":[10,77,101,129,167],"large":[11],"subject":[12,23],"heterogeneous":[13],"collection":[14],"(Document":[15],"Base":[16],"or":[17],"Corpus)":[18],"into":[19,156],"smaller,":[20],"more":[21],"manageable":[22],"homogeneous":[24],"collections":[25],"(clusters).":[26],"Traditional":[27],"of":[29,63,84,94,131,179],"document":[30,64,74,96,117,157,172],"uses":[32],"features":[33,40,164],"like":[34],"words,":[35],"sequence,":[36],"phrases,":[37],"etc.":[38],"These":[39],"are":[41,139,151],"independent":[42],"to":[43,53,71,91,99,116,153],"each":[44],"other":[45],"and":[46,97,142,193],"do":[47],"not":[48],"cater":[49],"semantics.":[50],"In":[51,124],"order":[52],"perform":[54],"semantic":[55,107,122,143],"viable":[56],"clustering,":[57],"we":[58,127,165],"believe":[59,146],"the":[61,73,85,95,106],"problem":[62],"has":[66],"two":[67],"main":[68],"components:":[69],"(1)":[70],"represent":[72],"in":[75],"such":[76,109],"form":[78],"it":[80,111],"inherently":[81],"captures":[82],"semantics":[83,155],"text.":[86],"This":[87],"may":[88],"also":[89],"help":[90],"reduce":[92],"dimensionality":[93],"(2)":[98],"define":[100],"similarity":[102,168],"measure":[103],"based":[104,133],"on":[105,134,181],"representation":[108,130],"assigns":[112],"higher":[113,121],"numerical":[114],"values":[115],"pairs":[118],"which":[119],"have":[120],"relationship.":[123],"this":[125],"paper,":[126],"propose":[128,166],"document,":[132],"three":[135,149,162],"distinct":[136],"layers:":[137],"these":[138,148,161],"lexical,":[140],"syntactic":[141],"layers.":[144],"We":[145,174],"layers":[150],"essential":[152],"ensure":[154],"meta":[158],"descriptor.":[159],"Using":[160],"layer's":[163],"function":[169],"for":[170],"performing":[171],"clustering.":[173],"performed":[175],"extensive":[177],"series":[178],"experiments":[180],"standard":[182],"text":[183],"mining":[184],"data":[185],"sets":[186],"with":[187],"external":[188],"evaluations":[190],"like:":[191],"F-Measure":[192],"Purity.":[194]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
