{"id":"https://openalex.org/W13464624","doi":"https://doi.org/10.13140/2.1.3706.0803","title":"Using Semantic Data Mining for Classification Improvement and Knowledge Extraction","display_name":"Using Semantic Data Mining for Classification Improvement and Knowledge Extraction","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W13464624","doi":"https://doi.org/10.13140/2.1.3706.0803","mag":"13464624"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.571.9379","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.571.9379","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.inf.uni-konstanz.de/gk/pubsys/unpublishedFiles/BeSa14a.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["datacite"],"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/A5089485826","display_name":"Fernando Benites","orcid":"https://orcid.org/0000-0003-1153-182X","observed_orcids":["https://orcid.org/0000-0003-1153-182X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Benites, Fernando","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5032835843","display_name":"Elena P. Sapozhnikova","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sapozhnikova, Elena","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2982,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63487356,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"150","last_page":"155"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.5835000276565552,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.5835000276565552,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.35350000858306885,"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":0.0272000003606081,"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/semantic-data-mining","display_name":"semantic data mining","score":0.9990000128746033},{"id":"https://openalex.org/keywords/multi-label-classification","display_name":"multi-label classification","score":0.996999979019165},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"knowledge extraction","score":0.8299999833106995},{"id":"https://openalex.org/keywords/association-rule-mining","display_name":"association rule mining","score":0.7149999737739563},{"id":"https://openalex.org/keywords/conceptual-relationships","display_name":"conceptual relations","score":0.6380000114440918},{"id":"https://openalex.org/keywords/data-sparsity","display_name":"data sparsity","score":0.7739999890327454},{"id":"https://openalex.org/keywords/interpretability","display_name":"interpretability","score":0.6769999861717224}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7750810384750366},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7305507063865662},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.568507730960846},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.5388175845146179},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5178335309028625},{"id":"https://openalex.org/C2781289151","wikidata":"https://www.wikidata.org/wiki/Q2903989","display_name":"Class hierarchy","level":3,"score":0.5143529176712036},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.47173774242401123},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.44489967823028564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36005935072898865},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34173911809921265},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C73752529","wikidata":"https://www.wikidata.org/wiki/Q79872","display_name":"Object-oriented programming","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.571.9379","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.571.9379","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.inf.uni-konstanz.de/gk/pubsys/unpublishedFiles/BeSa14a.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.664.3185","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.664.3185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ceur-ws.org/Vol-1226/paper23.pdf","raw_type":"text"},{"id":"doi:10.13140/2.1.3706.0803","doi":"https://doi.org/10.13140/2.1.3706.0803","is_oa":false,"landing_page_url":"https://doi.org/10.13140/2.1.3706.0803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},{"id":"mag:13464624","doi":null,"is_oa":false,"landing_page_url":"http://ceur-ws.org/Vol-1226/paper23.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W6433424","https://openalex.org/W66621957","https://openalex.org/W78732373","https://openalex.org/W1514770182","https://openalex.org/W1515577951","https://openalex.org/W1523293200","https://openalex.org/W1991414223","https://openalex.org/W1991661982","https://openalex.org/W2071399839","https://openalex.org/W2091163492","https://openalex.org/W2092713482","https://openalex.org/W2161910638","https://openalex.org/W2163598528","https://openalex.org/W2171836785","https://openalex.org/W2251899089","https://openalex.org/W2396600361"],"related_works":["https://openalex.org/W7052467574","https://openalex.org/W1568163006","https://openalex.org/W38708366","https://openalex.org/W56549917","https://openalex.org/W2943014238","https://openalex.org/W2615557860","https://openalex.org/W2247734522","https://openalex.org/W2905866091","https://openalex.org/W2483351416","https://openalex.org/W28629560"],"abstract_inverted_index":{"Abstract.":[0],"The":[1],"objective":[2],"of":[3,13,39],"this":[4],"position":[5],"paper":[6],"is":[7],"to":[8,81],"show":[9],"that":[10],"the":[11,18,37,66,79],"inte-gration":[12],"semantic":[14],"data":[15,20,60,99],"mining":[16,21],"into":[17],"DAMIART":[19,32,55],"system":[22,80],"can":[23],"help":[24],"further":[25],"improve":[26,91],"classification":[27,35,87],"performance":[28],"and":[29,47,62,94],"knowledge":[30,57],"ex-traction.":[31],"performs":[33],"multi-label":[34],"in":[36],"presence":[38],"multiple":[40,59,63],"class":[41,64],"ontologies,":[42,65],"hierarchy":[43],"extraction":[44],"from":[45,58],"multi-labels":[46],"concept":[48],"relation":[49],"by":[50],"association":[51],"rule":[52],"mining.":[53],"Whereas":[54],"com-bines":[56],"sources":[61],"proposed":[67],"extension":[68],"should":[69],"also":[70,90],"explore":[71],"available":[72],"ontologies":[73],"over":[74],"at-tributes.":[75],"This":[76],"will":[77],"allow":[78],"produce":[82],"not":[83],"only":[84],"more":[85],"accurate":[86],"results":[88],"but":[89],"their":[92],"interpretability":[93],"overcome":[95],"such":[96],"problems":[97],"as":[98],"sparseness.":[100]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2016-06-24T00:00:00"}