{"id":"https://openalex.org/W56549917","doi":null,"title":"Ontology-based Induction of High Level Classification Rules.","display_name":"Ontology-based Induction of High Level Classification Rules.","publication_year":1997,"publication_date":"1997-01-01","ids":{"openalex":"https://openalex.org/W56549917","mag":"56549917"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.194.7866","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.194.7866","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cos.ufrj.br/~mcosta/sigmoddmkd97.pdf","raw_type":"text"},"volume":null,"type":"article","indexed_in":[],"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/A5111637776","display_name":"Merwyn Taylor","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Merwyn Taylor","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112472567","display_name":"Kilian Stoffel","orcid":"https://orcid.org/0000-0002-9486-7769","observed_orcids":["https://orcid.org/0000-0002-9486-7769"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kilian Stoffel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5010414972","display_name":"James Hendler","orcid":"https://orcid.org/0000-0003-3056-1960","observed_orcids":["https://orcid.org/0000-0003-3056-1960"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"James Hendler","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-3056-1960","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4196,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.82196648,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"0","last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.8866999745368958,"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":0.8866999745368958,"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":0.07259999960660934,"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":0.006200000178068876,"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/ontology-based-classification","display_name":"ontology-based classification","score":0.75},{"id":"https://openalex.org/keywords/classification-rule-induction","display_name":"classification rule induction","score":0.9049999713897705},{"id":"https://openalex.org/keywords/multi-level-classification","display_name":"multi-level classification","score":0.6169999837875366},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"knowledge base","score":0.4359999895095825},{"id":"https://openalex.org/keywords/relational-databases","display_name":"relational databases","score":0.9890000224113464},{"id":"https://openalex.org/keywords/knowledge-representation-systems","display_name":"knowledge representation systems","score":0.5730000138282776},{"id":"https://openalex.org/keywords/query-expansion","display_name":"query expansion","score":0.38499999046325684},{"id":"https://openalex.org/keywords/concept-generalization","display_name":"concept generalization","score":0.628000020980835}],"concepts":[{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.7392094135284424},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7122738361358643},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.5407521724700928},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.5341324806213379},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5131705403327942},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.49982547760009766},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45991554856300354},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.4254569709300995},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.194.7866","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.194.7866","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cos.ufrj.br/~mcosta/sigmoddmkd97.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.39.5975","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.39.5975","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.umd.edu/~mtaylor/sigmoddmkd97.ps","raw_type":"text"},{"id":"mag:56549917","doi":null,"is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/dmkd/dmkd97.html#TaylorSH97","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":6,"referenced_works":["https://openalex.org/W93037337","https://openalex.org/W379208378","https://openalex.org/W651962779","https://openalex.org/W1578816018","https://openalex.org/W1994299112","https://openalex.org/W2166559705"],"related_works":["https://openalex.org/W2362006872","https://openalex.org/W2104029502","https://openalex.org/W2360454737","https://openalex.org/W4253460667","https://openalex.org/W7097694694","https://openalex.org/W2136369900","https://openalex.org/W2117378499","https://openalex.org/W6986568969","https://openalex.org/W2106478355","https://openalex.org/W2100905438"],"abstract_inverted_index":{"A":[0],"tool":[1,26],"that":[2,13,80,114],"could":[3,27],"be":[4,82],"beneficial":[5],"to":[6,93,98,148],"the":[7,15,29,53,76,132],"data":[8,33],"mining":[9,34],"community":[10],"is":[11,63,134],"one":[12],"facilitates":[14],"seamless":[16],"integration":[17],"of":[18,25,31,37,78,122,128,138],"knowledge":[19,65],"bases":[20],"and":[21,69,143],"databases.":[22,85],"This":[23,86],"kind":[24],"form":[28],"foundation":[30],"a":[32,48,59,64,111],"system":[35],"capable":[36],"finding":[38],"interesting":[39],"information":[40],"using":[41],"ontologies.":[42],"In":[43],"this":[44,104],"paper,":[45],"we":[46,108],"describe":[47],"new":[49],"algorithm":[50,113],"based":[51],"on":[52,101],"query":[54,88],"facilities":[55],"provided":[56],"by":[57],"such":[58],"tool,":[60],"ParkaDB":[61],"which":[62],"representation":[66],"system.":[67],"Ontologies":[68],"relational":[70],"databases":[71,129,140],"are":[72,109,141,144],"merged":[73],"thus":[74],"extending":[75],"range":[77],"queries":[79],"can":[81],"issued":[83],"against":[84],"extended":[87,105],"capability":[89],"makes":[90],"it":[91],"possible":[92],"generalize":[94],"from":[95],"low-level":[96],"concepts":[97,100],"high-level":[99],"demand.":[102],"Given":[103],"querying":[106],"capability,":[107],"developing":[110],"classification":[112,117],"will":[115],"find":[116],"rules":[118],"at":[119],"multiple":[120],"levels":[121],"abstraction.":[123],"1":[124],"Introduction":[125],"The":[126],"number":[127],"maintained":[130],"in":[131],"world":[133],"increasing":[135],"rapidly.":[136],"Many":[137],"these":[139],"huge":[142],"therefore":[145],"very":[146],"difficult":[147],"manually":[149],"analyze.":[150],"To":[151],"...":[152]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-09-21T07:43:02.447757","created_date":"2016-06-24T00:00:00"}