{"id":"https://openalex.org/W4229063341","doi":"https://doi.org/10.1145/3477314.3506964","title":"Spatial data processing meets RDF graph exploration","display_name":"Spatial data processing meets RDF graph exploration","publication_year":2022,"publication_date":"2022-04-25","ids":{"openalex":"https://openalex.org/W4229063341","doi":"https://doi.org/10.1145/3477314.3506964"},"language":"en","primary_location":{"id":"doi:10.1145/3477314.3506964","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477314.3506964","pdf_url":null,"source":{"id":"https://openalex.org/S4363608665","display_name":"Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing","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/A5031887071","display_name":"Houssameddine Yousfi","orcid":null},"institutions":[{"id":"https://openalex.org/I233209018","display_name":"University of Abou Bekr Belka\u00efd","ror":"https://ror.org/00jsjm362","country_code":"DZ","type":"education","lineage":["https://openalex.org/I233209018"]},{"id":"https://openalex.org/I171246369","display_name":"\u00c9cole Nationale Sup\u00e9rieure de M\u00e9canique et d'A\u00e9rotechnique","ror":"https://ror.org/04jx68594","country_code":"FR","type":"facility","lineage":["https://openalex.org/I171246369"]}],"countries":["DZ","FR"],"is_corresponding":true,"raw_author_name":"Houssameddine Yousfi","raw_affiliation_strings":["LIAS/ISAE-ENSMA, Poitiers, France and LRIT/Tlemcen University, Tlemcen, Algeria"],"affiliations":[{"raw_affiliation_string":"LIAS/ISAE-ENSMA, Poitiers, France and LRIT/Tlemcen University, Tlemcen, Algeria","institution_ids":["https://openalex.org/I233209018","https://openalex.org/I171246369"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5031887071"],"corresponding_institution_ids":["https://openalex.org/I171246369","https://openalex.org/I233209018"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03048912,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"389","last_page":"392"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9977999925613403,"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":0.8462492227554321},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.8322401642799377},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.5664499998092651},{"id":"https://openalex.org/keywords/linked-data","display_name":"Linked data","score":0.5566027164459229},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5471068024635315},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.5380643606185913},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5323078632354736},{"id":"https://openalex.org/keywords/sparql","display_name":"SPARQL","score":0.5292522311210632},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4490915536880493},{"id":"https://openalex.org/keywords/rdf-schema","display_name":"RDF Schema","score":0.43416982889175415},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.4308946132659912},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.349662184715271}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8462492227554321},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.8322401642799377},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.5664499998092651},{"id":"https://openalex.org/C69075417","wikidata":"https://www.wikidata.org/wiki/Q515701","display_name":"Linked data","level":3,"score":0.5566027164459229},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5471068024635315},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.5380643606185913},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5323078632354736},{"id":"https://openalex.org/C41009113","wikidata":"https://www.wikidata.org/wiki/Q54871","display_name":"SPARQL","level":4,"score":0.5292522311210632},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4490915536880493},{"id":"https://openalex.org/C15657843","wikidata":"https://www.wikidata.org/wiki/Q1751819","display_name":"RDF Schema","level":5,"score":0.43416982889175415},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.4308946132659912},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.349662184715271}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3477314.3506964","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477314.3506964","pdf_url":null,"source":{"id":"https://openalex.org/S4363608665","display_name":"Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W143391184","https://openalex.org/W1539367018","https://openalex.org/W1565595968","https://openalex.org/W1715730942","https://openalex.org/W2019515069","https://openalex.org/W2028716971","https://openalex.org/W2089247435","https://openalex.org/W2095542621","https://openalex.org/W2131230769","https://openalex.org/W2135577024","https://openalex.org/W2135961964","https://openalex.org/W2153225416","https://openalex.org/W2171539317","https://openalex.org/W2548613432","https://openalex.org/W3009883659","https://openalex.org/W3019943686","https://openalex.org/W3093217297","https://openalex.org/W3132669612","https://openalex.org/W3150257885"],"related_works":["https://openalex.org/W4206665951","https://openalex.org/W2079781157","https://openalex.org/W2615202182","https://openalex.org/W2563388676","https://openalex.org/W199330785","https://openalex.org/W3150241097","https://openalex.org/W2126289327","https://openalex.org/W4322622679","https://openalex.org/W2596045049","https://openalex.org/W2770351630"],"abstract_inverted_index":{"Efficient":[0],"processing":[1,22,37],"of":[2,23,35,38,74],"RDF":[3,11,39],"data":[4],"is":[5,44],"a":[6,17,78],"basic":[7],"requirement":[8],"for":[9],"querying":[10],"knowledge":[12],"graphs,":[13],"which":[14],"are":[15],"today":[16],"centerpiece":[18],"in":[19],"the":[20,26,33,47,70,87],"semantic":[21],"information":[24],"on":[25,53],"Web.":[27],"In":[28],"this":[29,66],"paper,":[30],"we":[31],"investigate":[32],"issue":[34],"efficient":[36],"spatial":[40,58,94],"data.":[41],"Our":[42,82],"aim":[43],"to":[45,56,64,104],"extend":[46],"query":[48],"evaluation":[49],"strategy":[50],"that":[51,86,89],"relies":[52],"graph":[54,91],"exploration":[55,92],"support":[57],"processing.":[59],"We":[60,68],"propose":[61],"several":[62],"methods":[63],"achieve":[65],"goal.":[67],"shown":[69],"drawbacks":[71],"and":[72,93,100],"advantages":[73],"each":[75],"method":[76],"via":[77],"few":[79],"sample":[80],"queries.":[81],"first":[83],"results":[84,102],"show":[85],"proposal":[88],"combines":[90],"indexing":[95],"can":[96],"give":[97],"very":[98],"good":[99],"promising":[101],"compared":[103],"existing":[105],"approaches.":[106]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}