{"id":"https://openalex.org/W4367310219","doi":"https://doi.org/10.1145/3543873.3587350","title":"Visualizing How-Provenance Explanations for SPARQL Queries","display_name":"Visualizing How-Provenance Explanations for SPARQL Queries","publication_year":2023,"publication_date":"2023-04-28","ids":{"openalex":"https://openalex.org/W4367310219","doi":"https://doi.org/10.1145/3543873.3587350"},"language":"en","primary_location":{"id":"doi:10.1145/3543873.3587350","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3543873.3587350","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2023","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://inria.hal.science/hal-04386268/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081390951","display_name":"Luis Gal\u00e1rraga","orcid":"https://orcid.org/0000-0002-0241-5379"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Luis Gal\u00e1rraga","raw_affiliation_strings":["IRISA, Inria, France","LACODAM - Large Scale Collaborative Data Mining (Campus de Beaulieu 35042 Rennes cedex - France)"],"affiliations":[{"raw_affiliation_string":"IRISA, Inria, France","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I2802519937"]},{"raw_affiliation_string":"LACODAM - Large Scale Collaborative Data Mining (Campus de Beaulieu 35042 Rennes cedex - France)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073473252","display_name":"Daniel Hern\u00e1ndez","orcid":"https://orcid.org/0000-0002-7896-0875"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Daniel Hern\u00e1ndez","raw_affiliation_strings":["University of Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"University of Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050003906","display_name":"Anas Katim","orcid":"https://orcid.org/0009-0009-0406-9527"},"institutions":[{"id":"https://openalex.org/I62396329","display_name":"Universit\u00e9 de Rouen Normandie","ror":"https://ror.org/03nhjew95","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I62396329"]},{"id":"https://openalex.org/I88814501","display_name":"Institut National des Sciences Appliqu\u00e9es Rouen Normandie","ror":"https://ror.org/020ws7586","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I88814501"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Anas Katim","raw_affiliation_strings":["INSA Rouen, France"],"affiliations":[{"raw_affiliation_string":"INSA Rouen, France","institution_ids":["https://openalex.org/I88814501","https://openalex.org/I62396329"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015313855","display_name":"Katja Hose","orcid":"https://orcid.org/0000-0001-7025-8099"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]},{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["AT","DK"],"is_corresponding":false,"raw_author_name":"Katja Hose","raw_affiliation_strings":["Aalborg University, Denmark and TU Wien, Austria"],"affiliations":[{"raw_affiliation_string":"Aalborg University, Denmark and TU Wien, Austria","institution_ids":["https://openalex.org/I145847075","https://openalex.org/I891191580"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5081390951"],"corresponding_institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I2802519937"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07146726,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"212","last_page":"216"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9972000122070312,"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/T11719","display_name":"Data Quality and Management","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sparql","display_name":"SPARQL","score":0.981927752494812},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.859220564365387},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.7078328728675842},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6393774747848511},{"id":"https://openalex.org/keywords/named-graph","display_name":"Named graph","score":0.6165841817855835},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.48545557260513306},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.4846130311489105},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43725061416625977},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.4284830391407013},{"id":"https://openalex.org/keywords/rdf-query-language","display_name":"RDF query language","score":0.4159294366836548},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.3532129228115082},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.32745257019996643},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.32144731283187866},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.2588968575000763},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08727088570594788}],"concepts":[{"id":"https://openalex.org/C41009113","wikidata":"https://www.wikidata.org/wiki/Q54871","display_name":"SPARQL","level":4,"score":0.981927752494812},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.859220564365387},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.7078328728675842},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6393774747848511},{"id":"https://openalex.org/C110893760","wikidata":"https://www.wikidata.org/wiki/Q3115590","display_name":"Named graph","level":5,"score":0.6165841817855835},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.48545557260513306},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.4846130311489105},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43725061416625977},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.4284830391407013},{"id":"https://openalex.org/C96956885","wikidata":"https://www.wikidata.org/wiki/Q6138701","display_name":"RDF query language","level":5,"score":0.4159294366836548},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.3532129228115082},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.32745257019996643},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.32144731283187866},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.2588968575000763},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08727088570594788}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3543873.3587350","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3543873.3587350","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2023","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04386268v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-04386268","pdf_url":"https://inria.hal.science/hal-04386268/document","source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"WWW 2023 - ACM International World Wide Web Conference, Apr 2023, Austin, United States. pp.212-216, &#x27E8;10.1145/3543873.3587350&#x27E9;","raw_type":"Conference papers"},{"id":"pmh:oai:pure.atira.dk:publications/33228cc3-6962-4637-a3f0-a00f4a92cddf","is_oa":false,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85159559689&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Gal\u00e1rraga , L , Hern\u00e1ndez , D , Katim , A &amp; Hose , K 2023 , Visualizing How-Provenance Explanations for SPARQL Queries . in ACM Web Conference 2023 - Companion of the World Wide Web Conference, WWW 2023 . Association for Computing Machinery , pp. 212-216 , WWW '23 Companion: Companion Proceedings of the ACM Web Conference 2023 , Austin , Texas , United States , 30/04/2023 . https://doi.org/10.1145/3543873.3587350","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:pure.atira.dk:publications/33228cc3-6962-4637-a3f0-a00f4a92cddf","is_oa":false,"landing_page_url":"https://vbn.aau.dk/da/publications/33228cc3-6962-4637-a3f0-a00f4a92cddf","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Gal\u00e1rraga, L, Hern\u00e1ndez, D, Katim, A & Hose, K 2023, Visualizing How-Provenance Explanations for SPARQL Queries. in ACM Web Conference 2023 - Companion of the World Wide Web Conference, WWW 2023. Association for Computing Machinery (ACM), pp. 212-216, The ACM Web Conference 2023, Austin, Texas, United States, 30/04/2023. https://doi.org/10.1145/3543873.3587350","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-04386268v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-04386268","pdf_url":"https://inria.hal.science/hal-04386268/document","source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"WWW 2023 - ACM International World Wide Web Conference, Apr 2023, Austin, United States. pp.212-216, &#x27E8;10.1145/3543873.3587350&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[{"score":0.4000000059604645,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4367310219.pdf","grobid_xml":"https://content.openalex.org/works/W4367310219.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W2006211529","https://openalex.org/W2274748974","https://openalex.org/W2789980099","https://openalex.org/W2889523940","https://openalex.org/W3093648030","https://openalex.org/W4230159918"],"related_works":["https://openalex.org/W2329485360","https://openalex.org/W4287323502","https://openalex.org/W3033347047","https://openalex.org/W2788155093","https://openalex.org/W2079781157","https://openalex.org/W1618147311","https://openalex.org/W2091301598","https://openalex.org/W3083425935","https://openalex.org/W3214097675","https://openalex.org/W2129497972"],"abstract_inverted_index":{"Knowledge":[0],"graphs":[1],"(KGs)":[2],"are":[3],"vast":[4],"collections":[5],"of":[6,25,50,57,80],"machine-readable":[7],"information,":[8],"usually":[9],"modeled":[10],"in":[11,41],"RDF":[12],"and":[13,36,61,116],"queried":[14],"with":[15,89],"SPARQL.":[16],"KGs":[17,52],"have":[18],"opened":[19],"the":[20,38,58,78,112],"door":[21],"to":[22,97,105],"a":[23,65,75],"plethora":[24],"applications":[26],"such":[27],"as":[28],"Web":[29,76],"search":[30],"or":[31],"smart":[32],"assistants":[33],"that":[34,63,85],"query":[35,54,66,87,98],"process":[37],"knowledge":[39],"contained":[40],"those":[42],"KGs.":[43],"An":[44],"important,":[45],"but":[46],"often":[47],"disregarded,":[48],"aspect":[49],"querying":[51],"is":[53],"provenance:":[55],"explanations":[56,122],"data":[59],"sources":[60],"transformations":[62],"made":[64],"result":[67],"possible.":[68],"In":[69],"this":[70,93],"article":[71],"we":[72],"demonstrate,":[73],"through":[74],"application,":[77],"capabilities":[79],"SPARQLprov,":[81],"an":[82],"engine-agnostic":[83],"method":[84],"annotates":[86],"results":[88],"how-provenance":[90,121],"annotations.":[91],"To":[92],"end,":[94],"SPARQLprov":[95,115],"resorts":[96],"rewriting":[99],"techniques,":[100],"which":[101],"make":[102],"it":[103],"applicable":[104],"already":[106],"deployed":[107],"SPARQL":[108,124],"endpoints.":[109],"We":[110],"describe":[111],"principles":[113],"behind":[114],"discuss":[117],"perspectives":[118],"on":[119],"visualizing":[120],"for":[123],"queries.":[125]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
