{"id":"https://openalex.org/W2752203301","doi":"https://doi.org/10.14778/3137765.3137807","title":"Explaining and querying knowledge graphs by relatedness","display_name":"Explaining and querying knowledge graphs by relatedness","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2752203301","doi":"https://doi.org/10.14778/3137765.3137807","mag":"2752203301"},"language":"en","primary_location":{"id":"doi:10.14778/3137765.3137807","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3137765.3137807","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://iris.uniroma1.it/bitstream/11573/1274159/2/Fionda_Explaining_2017.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022322296","display_name":"Valeria Fionda","orcid":"https://orcid.org/0000-0002-7018-1324"},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Valeria Fionda","raw_affiliation_strings":["University of Calabria, Rend (CS), Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Calabria, Rend (CS), Italy","institution_ids":["https://openalex.org/I45204951"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086627069","display_name":"Giuseppe Pirr\u00f2","orcid":"https://orcid.org/0000-0002-7499-5798"},"institutions":[{"id":"https://openalex.org/I179420787","display_name":"Indian Council of Agricultural Research","ror":"https://ror.org/04fw54a43","country_code":"IN","type":"government","lineage":["https://openalex.org/I179420787"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Giuseppe Pirr\u00f2","raw_affiliation_strings":["ICAR-CNR, Rend (CS), Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICAR-CNR, Rend (CS), Italy","institution_ids":["https://openalex.org/I179420787"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.595,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.87750723,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"10","issue":"12","first_page":"1913","last_page":"1916"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9983999729156494,"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":0.9983999729156494,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9983999729156494,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9915000200271606,"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/sparql","display_name":"SPARQL","score":0.8668855428695679},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.8467723727226257},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7959579229354858},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5737658739089966},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4749577045440674},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.47095853090286255},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.4542832374572754},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.4532041847705841},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.43134886026382446},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.40785911679267883},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.250792920589447},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.2422144114971161},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1734713315963745},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08284908533096313}],"concepts":[{"id":"https://openalex.org/C41009113","wikidata":"https://www.wikidata.org/wiki/Q54871","display_name":"SPARQL","level":4,"score":0.8668855428695679},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.8467723727226257},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7959579229354858},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5737658739089966},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4749577045440674},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.47095853090286255},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.4542832374572754},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.4532041847705841},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.43134886026382446},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.40785911679267883},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.250792920589447},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.2422144114971161},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1734713315963745},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08284908533096313},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.14778/3137765.3137807","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3137765.3137807","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},{"id":"pmh:oai:iris.uniroma1.it:11573/1274159","is_oa":true,"landing_page_url":"https://hdl.handle.net/11573/1274159","pdf_url":"https://iris.uniroma1.it/bitstream/11573/1274159/2/Fionda_Explaining_2017.pdf","source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:iris.uniroma1.it:11573/1274159","is_oa":true,"landing_page_url":"https://hdl.handle.net/11573/1274159","pdf_url":"https://iris.uniroma1.it/bitstream/11573/1274159/2/Fionda_Explaining_2017.pdf","source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2752203301.pdf","grobid_xml":"https://content.openalex.org/works/W2752203301.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W67959557","https://openalex.org/W1556285385","https://openalex.org/W1997069618","https://openalex.org/W2026417691","https://openalex.org/W2026645199","https://openalex.org/W2083545228","https://openalex.org/W2340134218","https://openalex.org/W2402803841","https://openalex.org/W2501364796","https://openalex.org/W2548125635","https://openalex.org/W2586196782"],"related_works":["https://openalex.org/W2038821533","https://openalex.org/W2295889387","https://openalex.org/W76044956","https://openalex.org/W129667569","https://openalex.org/W3142934089","https://openalex.org/W2528665947","https://openalex.org/W2764264137","https://openalex.org/W4297737180","https://openalex.org/W2226235235","https://openalex.org/W2899333420"],"abstract_inverted_index":{"We":[0,126],"demonstrate":[1],"RECAP,":[2],"a":[3,16,76,96,103],"tool":[4,72],"that":[5,21,38],"explains":[6],"relatedness":[7,19],"between":[8],"entities":[9,25],"in":[10,29,121,161],"Knowledge":[11],"Graphs":[12],"(KGs)":[13],"and":[14,46,113,135,150,152],"implements":[15],"query":[17],"by":[18],"paradigm":[20],"allows":[22],"to":[23,27,59],"retrieve":[24],"related":[26],"those":[28],"input.":[30],"One":[31],"of":[32,35,62,79,90,98,105,119,132,144,159],"the":[33,60,71,87,91,116,122,129,133,145,157],"peculiarities":[34],"RECAP":[36,120,160],"is":[37],"it":[39],"does":[40],"not":[41],"require":[42],"any":[43],"data":[44],"preprocessing":[45],"can":[47],"combine":[48],"knowledge":[49,106,163],"from":[50,102],"multiple":[51],"KGs.":[52],"The":[53,141],"underlying":[54],"algorithmic":[55],"techniques":[56],"are":[57],"reduced":[58],"execution":[61],"SPARQL":[63,83],"queries":[64],"plus":[65],"some":[66],"local":[67],"refinement.":[68],"This":[69],"makes":[70],"readily":[73],"available":[74],"on":[75,115,138,156],"large":[77],"variety":[78,104],"KGs":[80],"accessible":[81],"via":[82],"endpoints.":[84],"To":[85],"show":[86],"general":[88],"applicability":[89],"tool,":[92],"we":[93],"will":[94,127],"cover":[95],"set":[97],"use":[99],"cases":[100],"drawn":[101],"domains":[107],"(e.g.,":[108],"biology,":[109],"movies,":[110],"co-authorship":[111],"networks)":[112],"report":[114],"concrete":[117],"usage":[118],"SENSE4US":[123],"FP7":[124],"project.":[125],"underline":[128],"technical":[130],"aspects":[131],"system":[134],"give":[136],"details":[137],"its":[139],"implementation.":[140],"target":[142],"audience":[143],"demo":[146],"includes":[147],"both":[148],"researchers":[149],"practitioners":[151],"aims":[153],"at":[154],"reporting":[155],"benefits":[158],"practical":[162],"discovery":[164],"applications.":[165]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}