{"id":"https://openalex.org/W2058469523","doi":"https://doi.org/10.1109/icde.2013.6544826","title":"TYPifier: Inferring the type semantics of structured data","display_name":"TYPifier: Inferring the type semantics of structured data","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W2058469523","doi":"https://doi.org/10.1109/icde.2013.6544826","mag":"2058469523"},"language":"en","primary_location":{"id":"doi:10.1109/icde.2013.6544826","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2013.6544826","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 29th International Conference on Data Engineering (ICDE)","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/A5101375118","display_name":"Yongtao Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Yongtao Ma","raw_affiliation_strings":["Institute AIFB, Karlsruhe Institute of Technology, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"Institute AIFB, Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105208592","display_name":"Thanh Tran","orcid":"https://orcid.org/0000-0001-8663-1652"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thanh Tran","raw_affiliation_strings":["Institute AIFB, Karlsruhe Institute of Technology, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"Institute AIFB, Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066386874","display_name":"Veli Bi\u00e7er","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145784","display_name":"IBM Research - Ireland","ror":"https://ror.org/04jnxr720","country_code":"IE","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210145784"]},{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["IE","US"],"is_corresponding":false,"raw_author_name":"V. Bicer","raw_affiliation_strings":["Smarter Cities Technology Centre, IBM Research, Dublin, Ireland","[Smarter Cities Technology Centre, IBM Research, Dublin, Ireland]"],"affiliations":[{"raw_affiliation_string":"Smarter Cities Technology Centre, IBM Research, Dublin, Ireland","institution_ids":["https://openalex.org/I4210145784"]},{"raw_affiliation_string":"[Smarter Cities Technology Centre, IBM Research, Dublin, Ireland]","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101375118"],"corresponding_institution_ids":["https://openalex.org/I102335020"],"apc_list":null,"apc_paid":null,"fwci":5.2901,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.9538557,"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":"206","last_page":"217"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9991000294685364,"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":0.9991000294685364,"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/T11719","display_name":"Data Quality and Management","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.995199978351593,"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":0.7766495943069458},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.718792200088501},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7071916460990906},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5405861139297485},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45941126346588135},{"id":"https://openalex.org/keywords/typification","display_name":"Typification","score":0.44689565896987915},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.386508584022522},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29058951139450073},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.18716299533843994},{"id":"https://openalex.org/keywords/taxonomy","display_name":"Taxonomy (biology)","score":0.10244983434677124}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7766495943069458},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.718792200088501},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7071916460990906},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5405861139297485},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45941126346588135},{"id":"https://openalex.org/C2779782522","wikidata":"https://www.wikidata.org/wiki/Q7861384","display_name":"Typification","level":4,"score":0.44689565896987915},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.386508584022522},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29058951139450073},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.18716299533843994},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.10244983434677124},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C514705636","wikidata":"https://www.wikidata.org/wiki/Q863247","display_name":"Nomenclature","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icde.2013.6544826","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2013.6544826","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 29th International Conference on Data Engineering (ICDE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W189016807","https://openalex.org/W1908950999","https://openalex.org/W1943383135","https://openalex.org/W1971318281","https://openalex.org/W1978478796","https://openalex.org/W2046112356","https://openalex.org/W2061034685","https://openalex.org/W2065179205","https://openalex.org/W2073459066","https://openalex.org/W2086829791","https://openalex.org/W2092364718","https://openalex.org/W2111869785","https://openalex.org/W2132658991","https://openalex.org/W2134356404","https://openalex.org/W2143124645","https://openalex.org/W2153233077","https://openalex.org/W2160642098","https://openalex.org/W2161728285","https://openalex.org/W2164381747","https://openalex.org/W2164411384","https://openalex.org/W2164928285","https://openalex.org/W2165515835","https://openalex.org/W2167929847","https://openalex.org/W2534315547","https://openalex.org/W4247105055","https://openalex.org/W6607735250","https://openalex.org/W6639980361","https://openalex.org/W6668990524","https://openalex.org/W6679759574","https://openalex.org/W6680962907"],"related_works":["https://openalex.org/W2138239105","https://openalex.org/W4281608882","https://openalex.org/W2313613588","https://openalex.org/W2011743417","https://openalex.org/W2025515283","https://openalex.org/W2319304390","https://openalex.org/W2021555748","https://openalex.org/W2506102834","https://openalex.org/W3023622739","https://openalex.org/W1491006665"],"abstract_inverted_index":{"Structured":[0],"data":[1],"representing":[2],"entity":[3,20],"descriptions":[4],"often":[5],"lacks":[6],"precise":[7],"type":[8,18,25,46],"information.":[9],"That":[10],"is,":[11],"it":[12,55],"is":[13,26],"not":[14,81],"known":[15],"to":[16,29,37,65,88],"which":[17],"an":[19,86],"belongs":[21],"to,":[22],"or":[23],"the":[24,45,62,96,116],"too":[27],"general":[28],"be":[30],"useful.":[31],"In":[32],"this":[33,40],"work,":[34],"we":[35,84,101],"propose":[36,85],"deal":[38],"with":[39],"novel":[41,105],"problem":[42,59],"of":[43,48,98],"inferring":[44],"semantics":[47],"structured":[49],"data,":[50],"called":[51],"typification.":[52],"We":[53],"formulate":[54],"as":[56],"a":[57,104],"clustering":[58,72,106,118],"and":[60],"discuss":[61],"features":[63,76],"needed":[64],"obtain":[66],"several":[67],"solutions":[68],"based":[69],"on":[70],"existing":[71],"solutions.":[73,119],"Because":[74],"schema":[75,99],"perform":[77],"best,":[78],"but":[79],"are":[80],"abundantly":[82],"available,":[83],"approach":[87],"automatically":[89],"derive":[90],"them":[91],"from":[92],"data.":[93],"Optimized":[94],"for":[95],"use":[97],"features,":[100],"present":[102],"TYPifier,":[103],"algorithm":[107],"that":[108],"in":[109],"experiments,":[110],"yields":[111],"better":[112],"typification":[113],"results":[114],"than":[115],"baseline":[117]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
