{"id":"https://openalex.org/W2051322257","doi":"https://doi.org/10.1145/2063576.2063982","title":"Rule-based construction of matching processes","display_name":"Rule-based construction of matching processes","publication_year":2011,"publication_date":"2011-10-24","ids":{"openalex":"https://openalex.org/W2051322257","doi":"https://doi.org/10.1145/2063576.2063982","mag":"2051322257"},"language":"en","primary_location":{"id":"doi:10.1145/2063576.2063982","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2063576.2063982","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM international conference on Information and knowledge management","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/A5045988611","display_name":"Eric Peukert","orcid":"https://orcid.org/0000-0002-0338-3364"},"institutions":[{"id":"https://openalex.org/I4210135152","display_name":"Roland Ernst Stiftung","ror":"https://ror.org/03m629g08","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I4210135152"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Eric Peukert","raw_affiliation_strings":["SAP Research, SAP AG, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"SAP Research, SAP AG, Dresden, Germany","institution_ids":["https://openalex.org/I4210135152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031718315","display_name":"Julian Eberius","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Julian Eberius","raw_affiliation_strings":["Dresden University of Technology, Dresden, Germany","Dresden University of Technology , Dresden , Germany"],"affiliations":[{"raw_affiliation_string":"Dresden University of Technology, Dresden, Germany","institution_ids":[]},{"raw_affiliation_string":"Dresden University of Technology , Dresden , Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075756237","display_name":"Erhard Rahm","orcid":"https://orcid.org/0000-0002-2665-1114"},"institutions":[{"id":"https://openalex.org/I926574661","display_name":"Leipzig University","ror":"https://ror.org/03s7gtk40","country_code":"DE","type":"education","lineage":["https://openalex.org/I926574661"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Erhard Rahm","raw_affiliation_strings":["University of Leipzig, Leipzig, Germany","University of Leipzig, Leipzig, Germany,"],"affiliations":[{"raw_affiliation_string":"University of Leipzig, Leipzig, Germany","institution_ids":["https://openalex.org/I926574661"]},{"raw_affiliation_string":"University of Leipzig, Leipzig, Germany,","institution_ids":["https://openalex.org/I926574661"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045988611"],"corresponding_institution_ids":["https://openalex.org/I4210135152"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.09779881,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2421","last_page":"2424"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9998999834060669,"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":0.9998999834060669,"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/T10181","display_name":"Natural Language Processing Techniques","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/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.9980000257492065,"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/schema-matching","display_name":"Schema matching","score":0.9313595294952393},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8368613719940186},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.7160331010818481},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.7128962874412537},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4972858726978302},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.46871867775917053},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.45961683988571167},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44088345766067505},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43555590510368347},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3583359718322754},{"id":"https://openalex.org/keywords/data-integration","display_name":"Data integration","score":0.21482440829277039},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09356194734573364}],"concepts":[{"id":"https://openalex.org/C2777327318","wikidata":"https://www.wikidata.org/wiki/Q1408390","display_name":"Schema matching","level":3,"score":0.9313595294952393},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8368613719940186},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.7160331010818481},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7128962874412537},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4972858726978302},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.46871867775917053},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.45961683988571167},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44088345766067505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43555590510368347},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3583359718322754},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.21482440829277039},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09356194734573364},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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":1,"locations":[{"id":"doi:10.1145/2063576.2063982","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2063576.2063982","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM international conference on Information and knowledge management","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":23,"referenced_works":["https://openalex.org/W19626992","https://openalex.org/W1525289042","https://openalex.org/W1556622123","https://openalex.org/W1588910326","https://openalex.org/W1970348112","https://openalex.org/W1970939142","https://openalex.org/W1982801501","https://openalex.org/W1985712423","https://openalex.org/W2008896880","https://openalex.org/W2009676567","https://openalex.org/W2032031520","https://openalex.org/W2038602505","https://openalex.org/W2047029075","https://openalex.org/W2051582400","https://openalex.org/W2091887239","https://openalex.org/W2114538147","https://openalex.org/W2130094385","https://openalex.org/W2133466528","https://openalex.org/W2156510574","https://openalex.org/W2157060173","https://openalex.org/W2615115461","https://openalex.org/W2615447451","https://openalex.org/W2946234461"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4248336175","https://openalex.org/W1528218860","https://openalex.org/W2406112091","https://openalex.org/W2125859764","https://openalex.org/W2029826694","https://openalex.org/W2159303222"],"abstract_inverted_index":{"Semi-automatic":[0],"schema":[1,35],"matching":[2,36,69,82],"systems":[3],"have":[4],"been":[5],"developed":[6],"to":[7,41,44,75,97],"compute":[8],"mapping":[9,47,105],"suggestions":[10],"that":[11,38,92],"can":[12],"be":[13],"corrected":[14],"by":[15],"a":[16,26,33,85],"user.":[17],"However,":[18],"constructing":[19],"and":[20,78,107],"tuning":[21],"match":[22,64,87],"strategies":[23],"still":[24],"requires":[25],"high":[27],"manual":[28],"effort.":[29],"We":[30],"therefore":[31],"propose":[32],"self-configuring":[34],"system":[37,94],"is":[39,53,95],"able":[40,96],"automatically":[42,76],"adapt":[43,79],"the":[45,57,72],"given":[46,86],"problem":[48],"at":[49],"hand.":[50],"Our":[51],"approach":[52],"based":[54],"on":[55],"analyzing":[56],"input":[58],"schemas":[59],"as":[60,62],"well":[61],"intermediate":[63],"results.":[65],"A":[66],"variety":[67],"of":[68],"rules":[70],"use":[71],"analysis":[73],"results":[74],"construct":[77],"an":[80],"underlying":[81],"process":[83],"for":[84],"task.":[88],"The":[89],"evaluation":[90],"shows":[91],"our":[93],"robustly":[98],"return":[99],"good":[100],"quality":[101],"mappings":[102],"across":[103],"different":[104],"problems":[106],"domains.":[108]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
