{"id":"https://openalex.org/W2110918591","doi":"https://doi.org/10.1109/icde.2008.4497611","title":"Ontology-Aware Search on XML-based Electronic Medical Records","display_name":"Ontology-Aware Search on XML-based Electronic Medical Records","publication_year":2008,"publication_date":"2008-04-01","ids":{"openalex":"https://openalex.org/W2110918591","doi":"https://doi.org/10.1109/icde.2008.4497611","mag":"2110918591"},"language":"en","primary_location":{"id":"doi:10.1109/icde.2008.4497611","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2008.4497611","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE 24th International Conference on Data Engineering","raw_type":"proceedings-article"},"type":"conference-paper","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/A5068181614","display_name":"Fernando Farf\u00e1n","orcid":null},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fernando Farfan","raw_affiliation_strings":["School of Computing and Information Sciences, Florida International University, Miami, FL, USA","Sch. of Comput. & Inf. Sci., Florida Int. Univ., Miami, FL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Information Sciences, Florida International University, Miami, FL, USA","institution_ids":["https://openalex.org/I19700959"]},{"raw_affiliation_string":"Sch. of Comput. & Inf. Sci., Florida Int. Univ., Miami, FL","institution_ids":["https://openalex.org/I19700959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113814074","display_name":"Vagelis Hristidis","orcid":"https://orcid.org/0000-0001-8679-4988"},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vagelis Hristidis","raw_affiliation_strings":["School of Computing and Information Sciences, Florida International University, Miami, FL, USA","Sch. of Comput. & Inf. Sci., Florida Int. Univ., Miami, FL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Information Sciences, Florida International University, Miami, FL, USA","institution_ids":["https://openalex.org/I19700959"]},{"raw_affiliation_string":"Sch. of Comput. & Inf. Sci., Florida Int. Univ., Miami, FL","institution_ids":["https://openalex.org/I19700959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110500429","display_name":"Anand Ranganathan","orcid":null},"institutions":[{"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"]},{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anand Ranganathan","raw_affiliation_strings":["Thomas J. Watson Research Center, IBM, Yorktown Heights, NY, USA","IBM T.J. Watson Research, Yorktown Heights, New York, United States of America. arangana@us.ibm.com#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thomas J. Watson Research Center, IBM, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"IBM T.J. Watson Research, Yorktown Heights, New York, United States of America. arangana@us.ibm.com#TAB#","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111546025","display_name":"Redmond P. Burke","orcid":null},"institutions":[{"id":"https://openalex.org/I1288882113","display_name":"Boston Children's Hospital","ror":"https://ror.org/00dvg7y05","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1288882113"]},{"id":"https://openalex.org/I4210146630","display_name":"Miami Children's Hospital","ror":"https://ror.org/048d1b238","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210146630"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Redmond P. Burke","raw_affiliation_strings":["Miami Children's Hospital, Miami, FL, USA","Miami Children's Hospital, Miami, Florida, United States of America. redmond111@aol.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Miami Children's Hospital, Miami, FL, USA","institution_ids":["https://openalex.org/I4210146630"]},{"raw_affiliation_string":"Miami Children's Hospital, Miami, Florida, United States of America. redmond111@aol.com","institution_ids":["https://openalex.org/I1288882113"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0072,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.75214365,"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":"1525","last_page":"1527"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9998000264167786,"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":0.9998000264167786,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.7864822149276733},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7862813472747803},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.7104256749153137},{"id":"https://openalex.org/keywords/snomed-ct","display_name":"SNOMED CT","score":0.5965355038642883},{"id":"https://openalex.org/keywords/xml","display_name":"XML","score":0.5752096176147461},{"id":"https://openalex.org/keywords/xml-schema-editor","display_name":"XML Schema Editor","score":0.5443453788757324},{"id":"https://openalex.org/keywords/document-structure-description","display_name":"Document Structure Description","score":0.499666690826416},{"id":"https://openalex.org/keywords/xml-validation","display_name":"XML validation","score":0.45695140957832336},{"id":"https://openalex.org/keywords/ontology-based-data-integration","display_name":"Ontology-based data integration","score":0.4410809278488159},{"id":"https://openalex.org/keywords/efficient-xml-interchange","display_name":"Efficient XML Interchange","score":0.4347912669181824},{"id":"https://openalex.org/keywords/document-type-definition","display_name":"Document type definition","score":0.4345770478248596},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3471834063529968},{"id":"https://openalex.org/keywords/terminology","display_name":"Terminology","score":0.13275471329689026},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.10914552211761475}],"concepts":[{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.7864822149276733},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7862813472747803},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7104256749153137},{"id":"https://openalex.org/C206497026","wikidata":"https://www.wikidata.org/wiki/Q1753883","display_name":"SNOMED CT","level":3,"score":0.5965355038642883},{"id":"https://openalex.org/C8797682","wikidata":"https://www.wikidata.org/wiki/Q2115","display_name":"XML","level":2,"score":0.5752096176147461},{"id":"https://openalex.org/C34716815","wikidata":"https://www.wikidata.org/wiki/Q8042322","display_name":"XML Schema Editor","level":3,"score":0.5443453788757324},{"id":"https://openalex.org/C68699486","wikidata":"https://www.wikidata.org/wiki/Q265904","display_name":"Document Structure Description","level":3,"score":0.499666690826416},{"id":"https://openalex.org/C55348073","wikidata":"https://www.wikidata.org/wiki/Q595926","display_name":"XML validation","level":3,"score":0.45695140957832336},{"id":"https://openalex.org/C22550185","wikidata":"https://www.wikidata.org/wiki/Q7095047","display_name":"Ontology-based data integration","level":3,"score":0.4410809278488159},{"id":"https://openalex.org/C11508877","wikidata":"https://www.wikidata.org/wiki/Q1124477","display_name":"Efficient XML Interchange","level":3,"score":0.4347912669181824},{"id":"https://openalex.org/C84314905","wikidata":"https://www.wikidata.org/wiki/Q212327","display_name":"Document type definition","level":4,"score":0.4345770478248596},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3471834063529968},{"id":"https://openalex.org/C547195049","wikidata":"https://www.wikidata.org/wiki/Q1725664","display_name":"Terminology","level":2,"score":0.13275471329689026},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.10914552211761475},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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":1,"locations":[{"id":"doi:10.1109/icde.2008.4497611","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2008.4497611","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE 24th International Conference on Data Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1539585011","https://openalex.org/W1555563750","https://openalex.org/W1579971155","https://openalex.org/W1873894770","https://openalex.org/W1973828215","https://openalex.org/W2027752285","https://openalex.org/W2084243240","https://openalex.org/W2113112851","https://openalex.org/W2162988200","https://openalex.org/W4232413872","https://openalex.org/W6639403841","https://openalex.org/W6657223160","https://openalex.org/W6814015227"],"related_works":["https://openalex.org/W2014142435","https://openalex.org/W2181356758","https://openalex.org/W207568125","https://openalex.org/W1592776645","https://openalex.org/W2461360840","https://openalex.org/W4302602186","https://openalex.org/W3022924207","https://openalex.org/W4294541297","https://openalex.org/W4301517345","https://openalex.org/W2131299923"],"abstract_inverted_index":{"As":[0],"the":[1,13,32,53,68,73,96,112,123],"use":[2,34,95],"of":[3,35,52,75,108,115],"electronic":[4],"medical":[5],"records":[6],"(EMRs)":[7],"becomes":[8],"more":[9],"widespread,":[10],"so":[11],"does":[12],"need":[14],"for":[15],"effective":[16],"information":[17],"discovery":[18],"on":[19,79,86],"them.":[20],"Recently":[21],"proposed":[22],"EMR":[23,54,87,109,132],"standards":[24],"are":[25,47,128],"XML-based,":[26],"having":[27],"as":[28,43],"a":[29,60,83],"key":[30],"characteristic":[31],"frequent":[33],"ontological":[36,39],"references,":[37],"i.e.,":[38],"concept":[40],"codes":[41],"appear":[42],"XML":[44,80,88],"elements":[45],"and":[46,93,111,117,126,135,141],"used":[48],"to":[49,130],"associate":[50],"portions":[51],"document":[55,102],"with":[56,82],"concepts":[57,140],"defined":[58],"in":[59],"domain":[61],"ontology.":[62],"In":[63],"this":[64],"paper":[65],"we":[66],"present":[67],"XOntoRank":[69],"system":[70],"which":[71],"tackles":[72],"problem":[74],"ontology-aware":[76],"keyword":[77],"search":[78],"documents":[81],"particular":[84],"focus":[85],"documents.":[89],"Our":[90],"running":[91],"examples":[92],"experiments":[94],"Health":[97],"Level":[98],"Seven":[99],"(HL7)":[100],"clinical":[101],"architecture":[103],"(CDA)":[104],"Release":[105],"2.0":[106],"standard":[107],"representation":[110],"systematized":[113],"nomenclature":[114],"human":[116],"veterinary":[118],"medicine":[119],"(SNOMED)":[120],"ontology,":[121],"although":[122],"presented":[124],"techniques":[125],"results":[127],"applicable":[129],"any":[131,136],"hierarchical":[133],"format":[134],"ontology":[137],"that":[138],"defines":[139],"relationships.":[142]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
