{"id":"https://openalex.org/W1981339084","doi":"https://doi.org/10.1145/1559845.1559915","title":"A gauss function based approach for unbalanced ontology matching","display_name":"A gauss function based approach for unbalanced ontology matching","publication_year":2009,"publication_date":"2009-06-29","ids":{"openalex":"https://openalex.org/W1981339084","doi":"https://doi.org/10.1145/1559845.1559915","mag":"1981339084"},"language":"en","primary_location":{"id":"doi:10.1145/1559845.1559915","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1559845.1559915","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2009 ACM SIGMOD International Conference on Management of data","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/A5042912655","display_name":"Qian Zhong","orcid":"https://orcid.org/0000-0001-7651-7872"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qian Zhong","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100755477","display_name":"Hanyu Li","orcid":"https://orcid.org/0000-0001-5033-578X"},"institutions":[{"id":"https://openalex.org/I4210126794","display_name":"IBM Research (China)","ror":"https://ror.org/02yg1pf55","country_code":"CN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126794"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanyu Li","raw_affiliation_strings":["IBM China Research Laboratory, Beijing, China",", IBM China Research Laboratory, Beijing, China"],"affiliations":[{"raw_affiliation_string":"IBM China Research Laboratory, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]},{"raw_affiliation_string":", IBM China Research Laboratory, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003324011","display_name":"Juanzi Li","orcid":"https://orcid.org/0000-0002-6244-0664"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juanzi Li","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023775139","display_name":"Guotong Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126794","display_name":"IBM Research (China)","ror":"https://ror.org/02yg1pf55","country_code":"CN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126794"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guotong Xie","raw_affiliation_strings":["IBM China Research Laboratory, Beijing, China",", IBM China Research Laboratory, Beijing, China"],"affiliations":[{"raw_affiliation_string":"IBM China Research Laboratory, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]},{"raw_affiliation_string":", IBM China Research Laboratory, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044791875","display_name":"Jie Tang","orcid":"https://orcid.org/0000-0003-3487-4593"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Tang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109309781","display_name":"Lizhu Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhu Zhou","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100642413","display_name":"Yue Pan","orcid":"https://orcid.org/0000-0003-1590-9703"},"institutions":[{"id":"https://openalex.org/I4210126794","display_name":"IBM Research (China)","ror":"https://ror.org/02yg1pf55","country_code":"CN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126794"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Pan","raw_affiliation_strings":["IBM China Research Laboratory, Beijing, China",", IBM China Research Laboratory, Beijing, China"],"affiliations":[{"raw_affiliation_string":"IBM China Research Laboratory, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]},{"raw_affiliation_string":", IBM China Research Laboratory, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5042912655"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":5.8566,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.9590247,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"669","last_page":"680"},"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/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.9980999827384949,"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/T11719","display_name":"Data Quality and Management","score":0.9962999820709229,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ontology-alignment","display_name":"Ontology alignment","score":0.8003623485565186},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.7844611406326294},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7815834283828735},{"id":"https://openalex.org/keywords/ontology-based-data-integration","display_name":"Ontology-based data integration","score":0.7780492901802063},{"id":"https://openalex.org/keywords/process-ontology","display_name":"Process ontology","score":0.7000488042831421},{"id":"https://openalex.org/keywords/upper-ontology","display_name":"Upper ontology","score":0.684848427772522},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6771799325942993},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.5845303535461426},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5781288146972656},{"id":"https://openalex.org/keywords/semantic-heterogeneity","display_name":"Semantic heterogeneity","score":0.5345204472541809},{"id":"https://openalex.org/keywords/suggested-upper-merged-ontology","display_name":"Suggested Upper Merged Ontology","score":0.5116448998451233},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.48434221744537354},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4805446267127991},{"id":"https://openalex.org/keywords/ontology-inference-layer","display_name":"Ontology Inference Layer","score":0.4580811858177185},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4560205936431885},{"id":"https://openalex.org/keywords/ontology-components","display_name":"Ontology components","score":0.44398224353790283},{"id":"https://openalex.org/keywords/data-integration","display_name":"Data integration","score":0.4148520827293396},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.3843751549720764},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3209923505783081},{"id":"https://openalex.org/keywords/owl-s","display_name":"OWL-S","score":0.29206323623657227},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.18750041723251343},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1149783730506897},{"id":"https://openalex.org/keywords/semantic-web-stack","display_name":"Semantic Web Stack","score":0.05553463101387024}],"concepts":[{"id":"https://openalex.org/C98893333","wikidata":"https://www.wikidata.org/wiki/Q4339878","display_name":"Ontology alignment","level":4,"score":0.8003623485565186},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.7844611406326294},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7815834283828735},{"id":"https://openalex.org/C22550185","wikidata":"https://www.wikidata.org/wiki/Q7095047","display_name":"Ontology-based data integration","level":3,"score":0.7780492901802063},{"id":"https://openalex.org/C137003198","wikidata":"https://www.wikidata.org/wiki/Q7247296","display_name":"Process ontology","level":3,"score":0.7000488042831421},{"id":"https://openalex.org/C78726541","wikidata":"https://www.wikidata.org/wiki/Q3882785","display_name":"Upper ontology","level":3,"score":0.684848427772522},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6771799325942993},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.5845303535461426},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5781288146972656},{"id":"https://openalex.org/C2778180026","wikidata":"https://www.wikidata.org/wiki/Q18378163","display_name":"Semantic heterogeneity","level":4,"score":0.5345204472541809},{"id":"https://openalex.org/C50971890","wikidata":"https://www.wikidata.org/wiki/Q7635093","display_name":"Suggested Upper Merged Ontology","level":4,"score":0.5116448998451233},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.48434221744537354},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4805446267127991},{"id":"https://openalex.org/C115408247","wikidata":"https://www.wikidata.org/wiki/Q3882789","display_name":"Ontology Inference Layer","level":5,"score":0.4580811858177185},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4560205936431885},{"id":"https://openalex.org/C154210476","wikidata":"https://www.wikidata.org/wiki/Q7095057","display_name":"Ontology components","level":5,"score":0.44398224353790283},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.4148520827293396},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.3843751549720764},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3209923505783081},{"id":"https://openalex.org/C50382505","wikidata":"https://www.wikidata.org/wiki/Q2553356","display_name":"OWL-S","level":4,"score":0.29206323623657227},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.18750041723251343},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1149783730506897},{"id":"https://openalex.org/C167379230","wikidata":"https://www.wikidata.org/wiki/Q1026884","display_name":"Semantic Web Stack","level":3,"score":0.05553463101387024},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1559845.1559915","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1559845.1559915","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2009 ACM SIGMOD International Conference on Management of data","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.459.3233","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.459.3233","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://se-pubs.dbs.uni-leipzig.de/files/Zhong2009AGaussFunctionBasedApproachforUnbalancedOntology.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W509898","https://openalex.org/W637411437","https://openalex.org/W1481690646","https://openalex.org/W1493691328","https://openalex.org/W1494682522","https://openalex.org/W1505839237","https://openalex.org/W1506411770","https://openalex.org/W1594946023","https://openalex.org/W1647729745","https://openalex.org/W2017666497","https://openalex.org/W2024523516","https://openalex.org/W2106039833","https://openalex.org/W2125149214","https://openalex.org/W2136930489","https://openalex.org/W2138105615","https://openalex.org/W2139135093","https://openalex.org/W2140493646","https://openalex.org/W2142104809","https://openalex.org/W2150365753","https://openalex.org/W2156543375","https://openalex.org/W2157060173","https://openalex.org/W2160873337","https://openalex.org/W2161549461","https://openalex.org/W2171970775","https://openalex.org/W2466365012","https://openalex.org/W3004104752","https://openalex.org/W6680506379"],"related_works":["https://openalex.org/W2732632690","https://openalex.org/W4248726527","https://openalex.org/W2012420033","https://openalex.org/W2107335810","https://openalex.org/W2150375996","https://openalex.org/W2365397974","https://openalex.org/W2102229151","https://openalex.org/W2266640911","https://openalex.org/W1794266373","https://openalex.org/W2138664789"],"abstract_inverted_index":{"Ontology":[0],"matching,":[1],"aiming":[2],"to":[3,45],"obtain":[4],"semantic":[5],"correspondences":[6],"between":[7,49],"two":[8],"ontologies,":[9],"has":[10],"played":[11],"a":[12,53],"key":[13],"role":[14],"in":[15,70],"data":[16,18],"exchange,":[17],"integration":[19],"and":[20,57],"metadata":[21],"management.":[22],"Among":[23],"numerous":[24],"matching":[25,42],"scenarios,":[26],"especially":[27],"the":[28,47,61,71],"applications":[29],"cross":[30],"multiple":[31,64],"domains,":[32,65],"we":[33],"observe":[34],"an":[35,50],"important":[36],"problem,":[37],"denoted":[38],"as":[39],"unbalanced":[40],"ontology":[41,51,59],"which":[43],"requires":[44],"find":[46],"matches":[48],"describing":[52],"local":[54],"domain":[55],"knowledge":[56],"another":[58],"covering":[60],"information":[62],"over":[63],"is":[66],"not":[67],"well":[68],"studied":[69],"community.":[72]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
