{"id":"https://openalex.org/W3041435830","doi":"https://doi.org/10.1109/memea49120.2020.9137149","title":"Applicability of Multi-model Databases for Accessible Indoor Navigation","display_name":"Applicability of Multi-model Databases for Accessible Indoor Navigation","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3041435830","doi":"https://doi.org/10.1109/memea49120.2020.9137149","mag":"3041435830"},"language":"en","primary_location":{"id":"doi:10.1109/memea49120.2020.9137149","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea49120.2020.9137149","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","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/A5049910820","display_name":"Gabriella Simon-Nagy","orcid":"https://orcid.org/0009-0002-4784-1344"},"institutions":[{"id":"https://openalex.org/I103356709","display_name":"Obuda University","ror":"https://ror.org/00ax71d21","country_code":"HU","type":"education","lineage":["https://openalex.org/I103356709"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Gabriella Simon-Nagy","raw_affiliation_strings":["John von Neumann Faculty of Informatics, Obuda University, Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"John von Neumann Faculty of Informatics, Obuda University, Budapest, Hungary","institution_ids":["https://openalex.org/I103356709"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058193192","display_name":"Rita Fleiner","orcid":null},"institutions":[{"id":"https://openalex.org/I103356709","display_name":"Obuda University","ror":"https://ror.org/00ax71d21","country_code":"HU","type":"education","lineage":["https://openalex.org/I103356709"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Rita Fleiner","raw_affiliation_strings":["John von Neumann Faculty of Informatics, Obuda University, Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"John von Neumann Faculty of Informatics, Obuda University, Budapest, Hungary","institution_ids":["https://openalex.org/I103356709"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053864965","display_name":"Annam\u00e1ria R. V\u00e1rkonyi-K\u00f3czy","orcid":"https://orcid.org/0000-0002-6932-8608"},"institutions":[{"id":"https://openalex.org/I103356709","display_name":"Obuda University","ror":"https://ror.org/00ax71d21","country_code":"HU","type":"education","lineage":["https://openalex.org/I103356709"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Annamaria Varkonyi-Koczy","raw_affiliation_strings":["Kand\u00f3 K\u00e1lm\u00e1n Faculty of Electrical Engineering, Obuda University, Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kand\u00f3 K\u00e1lm\u00e1n Faculty of Electrical Engineering, Obuda University, Budapest, Hungary","institution_ids":["https://openalex.org/I103356709"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7313,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.76626231,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"14","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9921000003814697,"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/T11106","display_name":"Data Management and Algorithms","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8357922434806824},{"id":"https://openalex.org/keywords/nosql","display_name":"NoSQL","score":0.8087701797485352},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.5919142365455627},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5693160891532898},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.5171805620193481},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.5066569447517395},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5032550692558289},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41546571254730225},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3868957757949829},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.18483486771583557},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.14005175232887268}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8357922434806824},{"id":"https://openalex.org/C2779599972","wikidata":"https://www.wikidata.org/wiki/Q82231","display_name":"NoSQL","level":3,"score":0.8087701797485352},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.5919142365455627},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5693160891532898},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.5171805620193481},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.5066569447517395},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5032550692558289},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41546571254730225},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3868957757949829},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.18483486771583557},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.14005175232887268},{"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":1,"locations":[{"id":"doi:10.1109/memea49120.2020.9137149","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea49120.2020.9137149","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","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":6,"referenced_works":["https://openalex.org/W2015191210","https://openalex.org/W2751251165","https://openalex.org/W2763509761","https://openalex.org/W2888002610","https://openalex.org/W3033104756","https://openalex.org/W6745454200"],"related_works":["https://openalex.org/W2535413785","https://openalex.org/W3175354878","https://openalex.org/W2199030308","https://openalex.org/W2063103532","https://openalex.org/W2041326221","https://openalex.org/W2300826460","https://openalex.org/W2784311693","https://openalex.org/W2397211153","https://openalex.org/W2514636569","https://openalex.org/W3122656612"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"an":[3],"accessible":[4,39],"indoor":[5,40],"navigation":[6],"data":[7,35,60],"model":[8,61],"suitable":[9],"for":[10,38],"multi-model":[11,51],"NoSQL":[12],"databases":[13],"is":[14,62],"proposed,":[15],"based":[16],"on":[17],"iLOC":[18],"and":[19,29,42],"iACC":[20],"ontologies.":[21],"We":[22],"consider":[23],"our":[24],"previous":[25],"observations":[26],"about":[27],"practicality":[28],"performance":[30],"of":[31,46,57,81],"labeled":[32],"property":[33],"graph":[34],"models":[36],"used":[37],"wayfinding":[41,74],"suggest":[43],"multiple":[44],"ways":[45],"improvement":[47],"by":[48],"using":[49],"a":[50,65],"approach.":[52],"A":[53],"very":[54],"important":[55],"aim":[56],"the":[58],"new":[59],"to":[63,67,70,78],"provide":[64],"structure":[66],"be":[68],"able":[69],"run":[71],"fully":[72],"customizable":[73],"queries":[75],"with":[76],"respect":[77],"accessibility":[79],"needs":[80],"disabled":[82],"users.":[83]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}