{"id":"https://openalex.org/W4396628962","doi":"https://doi.org/10.1007/978-3-031-59468-7_11","title":"Identifying Relevant Data in\u00a0RDF Sources","display_name":"Identifying Relevant Data in\u00a0RDF Sources","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4396628962","doi":"https://doi.org/10.1007/978-3-031-59468-7_11"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-59468-7_11","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-59468-7_11","pdf_url":null,"source":{"id":"https://openalex.org/S4210177767","display_name":"Lecture notes in business information processing","issn_l":"1865-1348","issn":["1865-1348","1865-1356"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Business Information Processing","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/A5096328125","display_name":"Zo\u00e9 Chevallier","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zo\u00e9 Chevallier","raw_affiliation_strings":["DAVID Lab, University of Versailles Paris-Saclay, Versailles, France","Grand Paris Sud, Evry-Courcouronnes, France"],"affiliations":[{"raw_affiliation_string":"DAVID Lab, University of Versailles Paris-Saclay, Versailles, France","institution_ids":[]},{"raw_affiliation_string":"Grand Paris Sud, Evry-Courcouronnes, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051606225","display_name":"Zoubida Kedad","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zoubida Kedad","raw_affiliation_strings":["DAVID Lab, University of Versailles Paris-Saclay, Versailles, France"],"affiliations":[{"raw_affiliation_string":"DAVID Lab, University of Versailles Paris-Saclay, Versailles, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029118763","display_name":"B\u00e9atrice Finance","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"B\u00e9atrice Finance","raw_affiliation_strings":["DAVID Lab, University of Versailles Paris-Saclay, Versailles, France"],"affiliations":[{"raw_affiliation_string":"DAVID Lab, University of Versailles Paris-Saclay, Versailles, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5096130505","display_name":"Fr\u00e9d\u00e9ric Chaillan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fr\u00e9d\u00e9ric Chaillan","raw_affiliation_strings":["Grand Paris Sud, Evry-Courcouronnes, France"],"affiliations":[{"raw_affiliation_string":"Grand Paris Sud, Evry-Courcouronnes, France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5096328125"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13770309,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"92","last_page":"99"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9994000196456909,"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":0.9994000196456909,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9962000250816345,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7876170873641968},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.7628078460693359},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.7419397830963135},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.616763174533844},{"id":"https://openalex.org/keywords/data-source","display_name":"Data source","score":0.47855859994888306},{"id":"https://openalex.org/keywords/linked-data","display_name":"Linked data","score":0.4552551209926605},{"id":"https://openalex.org/keywords/rdf-schema","display_name":"RDF Schema","score":0.44159939885139465},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4240695536136627},{"id":"https://openalex.org/keywords/sparql","display_name":"SPARQL","score":0.32080966234207153},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.2587139308452606}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7876170873641968},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.7628078460693359},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.7419397830963135},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.616763174533844},{"id":"https://openalex.org/C2983685735","wikidata":"https://www.wikidata.org/wiki/Q5227355","display_name":"Data source","level":2,"score":0.47855859994888306},{"id":"https://openalex.org/C69075417","wikidata":"https://www.wikidata.org/wiki/Q515701","display_name":"Linked data","level":3,"score":0.4552551209926605},{"id":"https://openalex.org/C15657843","wikidata":"https://www.wikidata.org/wiki/Q1751819","display_name":"RDF Schema","level":5,"score":0.44159939885139465},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4240695536136627},{"id":"https://openalex.org/C41009113","wikidata":"https://www.wikidata.org/wiki/Q54871","display_name":"SPARQL","level":4,"score":0.32080966234207153},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.2587139308452606}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/978-3-031-59468-7_11","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-59468-7_11","pdf_url":null,"source":{"id":"https://openalex.org/S4210177767","display_name":"Lecture notes in business information processing","issn_l":"1865-1348","issn":["1865-1348","1865-1356"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Business Information Processing","raw_type":"book-chapter"},{"id":"pmh:oai:HAL:hal-04758283v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04758283","pdf_url":null,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"18th International Conference on Research Challenges in Information Science, RCIS 2024, May 2024, Guimar\u00e3es, Portugal. pp.92-99, &#x27E8;10.1007/978-3-031-59468-7_11&#x27E9;","raw_type":"Conference papers"},{"id":"pmh:oai:RePEc:hal:journl:hal-04758283","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"preprint"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W202389787","https://openalex.org/W2101210369","https://openalex.org/W2117200425","https://openalex.org/W2300469216","https://openalex.org/W2568135881","https://openalex.org/W2889003264","https://openalex.org/W3014616325","https://openalex.org/W3174181645","https://openalex.org/W3205092268"],"related_works":["https://openalex.org/W4206665951","https://openalex.org/W2079781157","https://openalex.org/W4296056063","https://openalex.org/W3171256892","https://openalex.org/W3107051279","https://openalex.org/W2615202182","https://openalex.org/W199330785","https://openalex.org/W2767591199","https://openalex.org/W4322622679","https://openalex.org/W2770351630"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
