{"id":"https://openalex.org/W3106371522","doi":"https://doi.org/10.3233/ssw200035","title":"High-Quality Knowledge Graphs Generation: R2RML and RML Comparison, Rules Validation and Inconsistency Resolution","display_name":"High-Quality Knowledge Graphs Generation: R2RML and RML Comparison, Rules Validation and Inconsistency Resolution","publication_year":2020,"publication_date":"2020-11-12","ids":{"openalex":"https://openalex.org/W3106371522","doi":"https://doi.org/10.3233/ssw200035","mag":"3106371522"},"language":"en","primary_location":{"id":"doi:10.3233/ssw200035","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ssw200035","pdf_url":null,"source":{"id":"https://openalex.org/S4210172742","display_name":"Studies on the semantic web","issn_l":"2215-0870","issn":["2215-0870"],"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":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies on the Semantic Web","raw_type":"book-chapter"},"type":"book-chapter","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/A5078833064","display_name":"Anastasia Dimou","orcid":"https://orcid.org/0000-0003-2138-7972"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Anastasia Dimou","raw_affiliation_strings":["Ghent University, imec, IDLab, Belgium, e-mail: Anastasia.Dimou@UGent.be"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ghent University, imec, IDLab, Belgium, e-mail: Anastasia.Dimou@UGent.be","institution_ids":["https://openalex.org/I32597200"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5078833064"],"corresponding_institution_ids":["https://openalex.org/I32597200"],"apc_list":null,"apc_paid":null,"fwci":0.8252,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.77569216,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9969000220298767,"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":0.9969000220298767,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9765999913215637,"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":0.9556000232696533,"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/computer-science","display_name":"Computer science","score":0.7167060375213623},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.6627050042152405},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.6091790795326233},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.5765065550804138},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5138602256774902},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.49164658784866333},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4894162714481354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4183919429779053},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3481234014034271},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.2162514328956604},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.11398714780807495}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7167060375213623},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.6627050042152405},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.6091790795326233},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.5765065550804138},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5138602256774902},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.49164658784866333},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4894162714481354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4183919429779053},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3481234014034271},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.2162514328956604},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.11398714780807495},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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:10.3233/ssw200035","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ssw200035","pdf_url":null,"source":{"id":"https://openalex.org/S4210172742","display_name":"Studies on the semantic web","issn_l":"2215-0870","issn":["2215-0870"],"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":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies on the Semantic Web","raw_type":"book-chapter"},{"id":"pmh:oai:archive.ugent.be:8683401","is_oa":false,"landing_page_url":"http://hdl.handle.net/1854/LU-8683401","pdf_url":null,"source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applications and practices in ontology design, extraction, and reasoning","raw_type":"bookChapter"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W31535402","https://openalex.org/W1524150562","https://openalex.org/W1552847225","https://openalex.org/W1553218807","https://openalex.org/W1965572639","https://openalex.org/W2076618134","https://openalex.org/W2155899822","https://openalex.org/W2156677278","https://openalex.org/W2167110031","https://openalex.org/W2228728094","https://openalex.org/W2271776728","https://openalex.org/W2295890767","https://openalex.org/W2470692145","https://openalex.org/W2551682582","https://openalex.org/W2610669233","https://openalex.org/W2615202182","https://openalex.org/W2616383538","https://openalex.org/W2757747820","https://openalex.org/W2886942038","https://openalex.org/W2940350956","https://openalex.org/W2947318600","https://openalex.org/W2950503648","https://openalex.org/W2978986926","https://openalex.org/W3023730298","https://openalex.org/W3107037867","https://openalex.org/W3164364272"],"related_works":["https://openalex.org/W2403539072","https://openalex.org/W2610995041","https://openalex.org/W2354489606","https://openalex.org/W2360498695","https://openalex.org/W3085073370","https://openalex.org/W4386395399","https://openalex.org/W3203979266","https://openalex.org/W153599042","https://openalex.org/W4386246514","https://openalex.org/W1528408861"],"abstract_inverted_index":{"In":[0],"this":[1],"chapter,":[2],"an":[3],"overview":[4],"of":[5,8,48,57],"the":[6,9,20,25,46,58,66,73,89],"state":[7],"art":[10],"on":[11,19,37,79],"knowledge":[12,43,91],"graph":[13],"generation":[14],"is":[15],"provided,":[16],"with":[17,54],"focus":[18],"two":[21,59],"prevalent":[22],"mapping":[23,60],"languages:":[24],"W3C":[26],"recommended":[27],"R2RML":[28,84],"and":[29,40,75],"its":[30],"generalisation":[31],"RML.":[32],"We":[33],"look":[34],"into":[35],"details":[36],"their":[38,80],"differences":[39],"explain":[41],"how":[42],"graphs,":[44,50],"in":[45],"form":[47],"RDF":[49],"can":[51],"be":[52],"generated":[53],"each":[55],"one":[56],"languages.":[61],"Then":[62],"we":[63],"assess":[64],"if":[65],"vocabulary":[67],"terms":[68],"were":[69],"properly":[70],"applied":[71],"to":[72,87],"data":[74],"no":[76],"violations":[77],"occurred":[78],"use,":[81],"either":[82],"using":[83],"or":[85],"RML":[86],"generate":[88],"desired":[90],"graph.":[92]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}