{"id":"https://openalex.org/W3031174817","doi":"https://doi.org/10.1145/3318464.3384684","title":"SHARQL: Shape Analysis of Recursive SPARQL Queries","display_name":"SHARQL: Shape Analysis of Recursive SPARQL Queries","publication_year":2020,"publication_date":"2020-05-29","ids":{"openalex":"https://openalex.org/W3031174817","doi":"https://doi.org/10.1145/3318464.3384684","mag":"3031174817"},"language":"en","primary_location":{"id":"doi:10.1145/3318464.3384684","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3318464.3384684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://inria.hal.science/hal-03125718","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085664755","display_name":"Angela Bonifati","orcid":"https://orcid.org/0000-0002-9582-869X"},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I4530042","display_name":"Webb Institute","ror":"https://ror.org/02f29yc36","country_code":"US","type":"education","lineage":["https://openalex.org/I4530042"]}],"countries":["FR","US"],"is_corresponding":false,"raw_author_name":"Angela Bonifati","raw_affiliation_strings":["Lyon 1 University, Lyon, France","Types and Reasoning for the Web"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lyon 1 University, Lyon, France","institution_ids":["https://openalex.org/I100532134"]},{"raw_affiliation_string":"Types and Reasoning for the Web","institution_ids":["https://openalex.org/I4530042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016412428","display_name":"Wim Martens","orcid":"https://orcid.org/0000-0001-9480-3522"},"institutions":[{"id":"https://openalex.org/I54009628","display_name":"University of Bayreuth","ror":"https://ror.org/0234wmv40","country_code":"DE","type":"education","lineage":["https://openalex.org/I54009628"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wim Martens","raw_affiliation_strings":["University of Bayreuth, Bayreuth, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bayreuth, Bayreuth, Germany","institution_ids":["https://openalex.org/I54009628"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057878551","display_name":"Thomas Timm","orcid":null},"institutions":[{"id":"https://openalex.org/I54009628","display_name":"University of Bayreuth","ror":"https://ror.org/0234wmv40","country_code":"DE","type":"education","lineage":["https://openalex.org/I54009628"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Timm","raw_affiliation_strings":["University of Bayreuth, Bayreuth, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bayreuth, Bayreuth, Germany","institution_ids":["https://openalex.org/I54009628"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2701","last_page":"2704"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.9955000281333923,"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"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9894999861717224,"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/sparql","display_name":"SPARQL","score":0.9666129350662231},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8532056212425232},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6458828449249268},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.606365978717804},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.562391996383667},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.5022232532501221},{"id":"https://openalex.org/keywords/named-graph","display_name":"Named graph","score":0.47318482398986816},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.42004865407943726},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3502466678619385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13865894079208374},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.13824692368507385}],"concepts":[{"id":"https://openalex.org/C41009113","wikidata":"https://www.wikidata.org/wiki/Q54871","display_name":"SPARQL","level":4,"score":0.9666129350662231},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8532056212425232},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6458828449249268},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.606365978717804},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.562391996383667},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.5022232532501221},{"id":"https://openalex.org/C110893760","wikidata":"https://www.wikidata.org/wiki/Q3115590","display_name":"Named graph","level":5,"score":0.47318482398986816},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.42004865407943726},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3502466678619385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13865894079208374},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.13824692368507385},{"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":2,"locations":[{"id":"doi:10.1145/3318464.3384684","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3318464.3384684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03125718v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-03125718","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"SIGMOD/PODS 2020 - International Conference on Management of Data, Jun 2020, Portland OR, United States. pp.2701-2704, ⟨10.1145/3318464.3384684⟩","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-03125718v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-03125718","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"SIGMOD/PODS 2020 - International Conference on Management of Data, Jun 2020, Portland OR, United States. pp.2701-2704, ⟨10.1145/3318464.3384684⟩","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6237554526","display_name":null,"funder_award_id":"MA 4938/4-1","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2153718046","https://openalex.org/W2740611718","https://openalex.org/W2798483562","https://openalex.org/W2890592029","https://openalex.org/W2912058276","https://openalex.org/W3185640417","https://openalex.org/W6741838619","https://openalex.org/W6759106391"],"related_works":["https://openalex.org/W2904139343","https://openalex.org/W2469333531","https://openalex.org/W2109360361","https://openalex.org/W2615202182","https://openalex.org/W2121859659","https://openalex.org/W4299413097","https://openalex.org/W4287323502","https://openalex.org/W3210418586","https://openalex.org/W1935612762","https://openalex.org/W3150241097"],"abstract_inverted_index":{"We":[0,106],"showcase":[1],"SHARQL,":[2,91],"a":[3,24,146],"system":[4],"that":[5],"allows":[6],"to":[7,26,63,84,148],"navigate":[8],"SPARQL":[9,35,58,121],"query":[10,36,133,142],"logs,":[11],"can":[12,21],"inspect":[13],"complex":[14,113],"queries":[15,59,103],"by":[16,52],"visualizing":[17],"their":[18,46,66,71,73,77],"shape,":[19,72],"and":[20,41,48,65,76,87,97,117,134,144,150],"serve":[22],"as":[23,70,145],"back-end":[25,147],"flexibly":[27],"produce":[28],"statistics":[29],"about":[30],"the":[31,53,95,141,155],"logs.":[32],"Even":[33],"though":[34],"logs":[37,143,157],"are":[38,60,80],"increasingly":[39],"available":[40],"have":[42],"become":[43],"public":[44],"recently,":[45],"navigation":[47],"analysis":[49,96],"is":[50,104,135],"hampered":[51],"lack":[54],"of":[55,99,120,154],"appropriate":[56],"tools.":[57],"sometimes":[61],"hard":[62],"understand":[64],"inherent":[67],"properties,":[68,75],"such":[69],"hypertree":[74],"property":[78,118],"paths":[79,119],"even":[81],"more":[82,127],"difficult":[83],"be":[85],"identified":[86],"properly":[88],"rendered.":[89],"In":[90],"we":[92],"show":[93],"how":[94],"exploration":[98],"several":[100],"hundred":[101,130],"million":[102],"possible.":[105],"offer":[107],"edge":[108],"rendering":[109],"which":[110],"works":[111],"with":[112],"hyperedges,":[114],"regular":[115],"edges,":[116],"queries.":[122],"The":[123],"underlying":[124],"database":[125],"stores":[126],"than":[128],"one":[129],"attributes":[131],"per":[132],"therefore":[136],"extremely":[137],"flexible":[138],"for":[139],"exploring":[140],"compute":[149],"display":[151],"analytical":[152],"properties":[153],"entire":[156],"or":[158],"parts":[159],"thereof.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}