{"id":"https://openalex.org/W2002447514","doi":"https://doi.org/10.1109/icdew.2014.6818297","title":"Typing query languages for data graphs","display_name":"Typing query languages for data graphs","publication_year":2014,"publication_date":"2014-03-01","ids":{"openalex":"https://openalex.org/W2002447514","doi":"https://doi.org/10.1109/icdew.2014.6818297","mag":"2002447514"},"language":"en","primary_location":{"id":"doi:10.1109/icdew.2014.6818297","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdew.2014.6818297","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 30th International Conference on Data Engineering Workshops","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/A5087371035","display_name":"Dario Colazzo","orcid":"https://orcid.org/0000-0002-6031-0049"},"institutions":[{"id":"https://openalex.org/I56435720","display_name":"Universit\u00e9 Paris Dauphine-PSL","ror":"https://ror.org/052bz7812","country_code":"FR","type":"education","lineage":["https://openalex.org/I2746051580","https://openalex.org/I56435720"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Dario Colazzo","raw_affiliation_strings":["LAMSADE, Universit\u00e9 Paris Dauphine, France","LAMSADE, Universit\u00e9 Paris-Dauphine, Place du Mar\u00e9chal De Lattre de Tassigny, 75 775 Paris Cedex 16, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LAMSADE, Universit\u00e9 Paris Dauphine, France","institution_ids":["https://openalex.org/I56435720"]},{"raw_affiliation_string":"LAMSADE, Universit\u00e9 Paris-Dauphine, Place du Mar\u00e9chal De Lattre de Tassigny, 75 775 Paris Cedex 16, France","institution_ids":["https://openalex.org/I56435720"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026300883","display_name":"Carlo Sartiani","orcid":"https://orcid.org/0000-0002-6514-3569"},"institutions":[{"id":"https://openalex.org/I20272500","display_name":"University of Basilicata","ror":"https://ror.org/03tc05689","country_code":"IT","type":"education","lineage":["https://openalex.org/I20272500"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Carlo Sartiani","raw_affiliation_strings":["DIMIE, Universit\u00e0 della Basilicata, Potenza, Italy","DIMIE, Universit\u00e0 della Basilicata Via dell'Ateneo Lucano 10 - Potenza - Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DIMIE, Universit\u00e0 della Basilicata, Potenza, Italy","institution_ids":["https://openalex.org/I20272500"]},{"raw_affiliation_string":"DIMIE, Universit\u00e0 della Basilicata Via dell'Ateneo Lucano 10 - Potenza - Italy","institution_ids":["https://openalex.org/I20272500"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4135,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.5752615,"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":"28","last_page":"31"},"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/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/T12292","display_name":"Graph Theory and Algorithms","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8466183543205261},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.7808324098587036},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.7144381999969482},{"id":"https://openalex.org/keywords/rdf-query-language","display_name":"RDF query language","score":0.6360873579978943},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.6284403800964355},{"id":"https://openalex.org/keywords/type-inference","display_name":"Type inference","score":0.5816036462783813},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.5271608233451843},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.4938409924507141},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.472755491733551},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.4669170379638672},{"id":"https://openalex.org/keywords/data-control-language","display_name":"Data control language","score":0.4582083225250244},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.446056604385376},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4211016893386841},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.41475462913513184},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3456447720527649},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34032759070396423},{"id":"https://openalex.org/keywords/query-by-example","display_name":"Query by Example","score":0.3219263553619385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2787207067012787},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.12384578585624695}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8466183543205261},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.7808324098587036},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.7144381999969482},{"id":"https://openalex.org/C96956885","wikidata":"https://www.wikidata.org/wiki/Q6138701","display_name":"RDF query language","level":5,"score":0.6360873579978943},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.6284403800964355},{"id":"https://openalex.org/C198370458","wikidata":"https://www.wikidata.org/wiki/Q586459","display_name":"Type inference","level":3,"score":0.5816036462783813},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.5271608233451843},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.4938409924507141},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.472755491733551},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.4669170379638672},{"id":"https://openalex.org/C32977378","wikidata":"https://www.wikidata.org/wiki/Q604737","display_name":"Data control language","level":5,"score":0.4582083225250244},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.446056604385376},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4211016893386841},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.41475462913513184},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3456447720527649},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34032759070396423},{"id":"https://openalex.org/C194222762","wikidata":"https://www.wikidata.org/wiki/Q114486","display_name":"Query by Example","level":4,"score":0.3219263553619385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2787207067012787},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.12384578585624695}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icdew.2014.6818297","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdew.2014.6818297","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 30th International Conference on Data Engineering Workshops","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01632380v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01632380","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"30th IEEE International Conference on Data Engineering (ICDEW), Apr 2014, Chicago, IL, United States. pp.28-31, ⟨10.1109/ICDEW.2014.6818297⟩","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:basepub.dauphine.fr:123456789/16954","is_oa":false,"landing_page_url":"https://basepub.dauphine.fr/handle/123456789/16954","pdf_url":null,"source":{"id":"https://openalex.org/S4306401007","display_name":"Base Institutionnelle de Recherche de l'universit\u00e9 Paris-Dauphine (BIRD) (University Paris-Dauphine)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I102197404","host_organization_name":"Universit\u00e9 Paris-Sud","host_organization_lineage":["https://openalex.org/I102197404"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Communication / Conf\u00e9rence"},{"id":"pmh:oai:iris.unibas.it:11563/99730","is_oa":false,"landing_page_url":"http://hdl.handle.net/11563/99730","pdf_url":null,"source":{"id":"https://openalex.org/S4377196360","display_name":"CINECA IRIS Institutional Research Information System (University of Basilicata)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I20272500","host_organization_name":"University of Basilicata","host_organization_lineage":["https://openalex.org/I20272500"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W270849871","https://openalex.org/W1582089387","https://openalex.org/W1997520998","https://openalex.org/W2109486375","https://openalex.org/W2126079271","https://openalex.org/W2127315934","https://openalex.org/W2135282325"],"related_works":["https://openalex.org/W1548279772","https://openalex.org/W2400419823","https://openalex.org/W2970853428","https://openalex.org/W2130043461","https://openalex.org/W2353434938","https://openalex.org/W1565848721","https://openalex.org/W1585732288","https://openalex.org/W1489445454","https://openalex.org/W4242973525","https://openalex.org/W1962722052"],"abstract_inverted_index":{"Graph":[0],"query":[1,17,49],"languages":[2],"are":[3],"essentially":[4],"untyped.":[5],"The":[6],"lack":[7],"of":[8],"type":[9,50],"information":[10],"greatly":[11],"limits":[12],"the":[13],"optimization":[14],"opportunities":[15],"for":[16,36],"engines":[18],"and":[19],"makes":[20],"application":[21],"development":[22],"more":[23],"complex.":[24],"In":[25],"this":[26],"paper":[27],"we":[28],"discuss":[29],"a":[30,48],"simple,":[31],"yet":[32],"expressive,":[33],"schema":[34,41],"language":[35,42],"edge-labelled":[37],"data":[38],"graphs.":[39],"This":[40],"is,":[43],"then,":[44],"used":[45],"to":[46],"define":[47],"inference":[51],"approach":[52],"with":[53],"good":[54],"precision":[55],"properties.":[56]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}