{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T19:40:03Z","timestamp":1771702803450,"version":"3.50.1"},"publisher-location":"Cham","reference-count":31,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031503849","type":"print"},{"value":"9783031503856","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-50385-6_8","type":"book-chapter","created":{"date-parts":[[2024,1,3]],"date-time":"2024-01-03T17:02:28Z","timestamp":1704301348000},"page":"89-100","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Framework for\u00a0Automatic Knowledge Base Generation from\u00a0Observation Data Sets"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2502-7467","authenticated-orcid":false,"given":"Agnese","family":"Pinto","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8598-5504","authenticated-orcid":false,"given":"Saverio","family":"Ieva","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6144-4647","authenticated-orcid":false,"given":"Arnaldo","family":"Tomasino","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7995-8494","authenticated-orcid":false,"given":"Giuseppe","family":"Loseto","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7859-9602","authenticated-orcid":false,"given":"Floriano","family":"Scioscia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2125-327X","authenticated-orcid":false,"given":"Michele","family":"Ruta","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-1218-9965","authenticated-orcid":false,"given":"Francesco","family":"De Feudis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,1,4]]},"reference":[{"key":"8_CR1","unstructured":"Abdelmageed, N., Schindler, S.: JenTab: matching tabular data to knowledge graphs. In: Semantic Web Challenge on Tabular Data to Knowledge Graph Matching Workshop, International Semantic Web Conference, 40\u201349 (2020)"},{"issue":"8","key":"8_CR2","doi-asserted-by":"publisher","first-page":"1295","DOI":"10.3390\/electronics9081295","volume":"9","author":"M Ahmed","year":"2020","unstructured":"Ahmed, M., Seraj, R., Islam, S.M.S.: The K-means algorithm: a comprehensive survey and performance evaluation. Electronics 9(8), 1295 (2020)","journal-title":"Electronics"},{"key":"8_CR3","doi-asserted-by":"crossref","unstructured":"Arenas-Guerrero, J., Chaves-Fraga, D., Toledo, J., P\u00e9rez, M.S., Corcho, O.: Morph-KGC: Scalable knowledge graph materialization with mapping partitions. Semantic Web, pp. 1\u201320 (2022)","DOI":"10.3233\/SW-223135"},{"key":"8_CR4","volume-title":"The Description Logic Handbook: Theory. Implementation and Applications","author":"F Baader","year":"2003","unstructured":"Baader, F., Calvanese, D., McGuinness, D., Patel-Schneider, P., Nardi, D., et al.: The Description Logic Handbook: Theory. Implementation and Applications. Cambridge University Press, Cambridge (2003)"},{"key":"8_CR5","doi-asserted-by":"crossref","unstructured":"Bray, T.: RFC 8259: The JavaScript object notation (JSON) data interchange format (2017)","DOI":"10.17487\/RFC8259"},{"issue":"C","key":"8_CR6","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1016\/j.ins.2019.01.064","volume":"484","author":"KL Chiew","year":"2019","unstructured":"Chiew, K.L., Tan, C.L., Wong, K., Yong, K.S., Tiong, W.K.: A new hybrid ensemble feature selection framework for machine learning-based phishing detection system. Inf. Sci. 484(C), 153\u2013166 (2019)","journal-title":"Inf. Sci."},{"key":"8_CR7","series-title":"Lecture Notes in Business Information Processing","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1007\/978-3-319-21545-7_9","volume-title":"Formal Ontologies Meet Industry","author":"L Daniele","year":"2015","unstructured":"Daniele, L., den Hartog, F., Roes, J.: Created in close interaction with the industry: the smart appliances REFerence (SAREF) ontology. In: Cuel, R., Young, R. (eds.) FOMI 2015. LNBIP, vol. 225, pp. 100\u2013112. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-21545-7_9"},{"key":"8_CR8","unstructured":"Das, S., Sundara, S., Cyganiak, R.: R2RML: RDB to RDF Mapping Language. Recommendation, W3C (2012). https:\/\/www.w3.org\/TR\/r2rml\/"},{"key":"8_CR9","doi-asserted-by":"crossref","unstructured":"De Una, D., R\u00fcmmele, N., Gange, G., Schachte, P., Stuckey, P.J.: Machine learning and constraint programming for relational-to-ontology schema mapping. In: International Joint Conference on Artificial Intelligence, pp. 1277\u20131283 (2018)","DOI":"10.24963\/ijcai.2018\/178"},{"key":"8_CR10","unstructured":"Delva, T., Arenas-Guerrero, J., Iglesias-Molina, A., Corcho, O., Chaves-Fraga, D., Dimou, A.: RML-star: a declarative mapping language for RDF-star generation. In: ISWC2021, the International Semantic Web Conference, vol. 2980. CEUR (2021)"},{"key":"8_CR11","unstructured":"Dimou, A., Vander Sande, M., Colpaert, P., Verborgh, R., Mannens, E., Van de Walle, R.: RML: a generic language for integrated RDF mappings of heterogeneous data. In: Workshop on Linked Data on the Web, 23rd International World Wide Web Conference, pp. 1\u20135 (2014)"},{"issue":"2","key":"8_CR12","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1145\/2844544","volume":"59","author":"RV Guha","year":"2016","unstructured":"Guha, R.V., Brickley, D., Macbeth, S.: Schema Org.: evolution of structured data on the web. Commun. ACM 59(2), 44\u201351 (2016)","journal-title":"Commun. ACM"},{"issue":"1","key":"8_CR13","doi-asserted-by":"publisher","first-page":"11","DOI":"10.3233\/SW-2011-0025","volume":"2","author":"M Horridge","year":"2011","unstructured":"Horridge, M., Bechhofer, S.: The OWL API: a java API for OWL ontologies. Semant. Web 2(1), 11\u201321 (2011)","journal-title":"Semant. Web"},{"key":"8_CR14","unstructured":"Horridge, M., Patel-Schneider, P.: OWL 2 Web Ontology Language Manchester Syntax (Second Edition). W3C note, W3C (2012). https:\/\/www.w3.org\/TR\/owl2-manchester-syntax\/"},{"key":"8_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.websem.2018.06.003","volume":"56","author":"K Janowicz","year":"2019","unstructured":"Janowicz, K., Haller, A., Cox, S.J., Le Phuoc, D., Lefran\u00e7ois, M.: SOSA: a lightweight ontology for sensors, observations, samples, and actuators. J. Web Semant. 56, 1\u201310 (2019)","journal-title":"J. Web Semant."},{"key":"8_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1007\/978-3-319-25010-6_7","volume-title":"The Semantic Web - ISWC 2015","author":"E Jim\u00e9nez-Ruiz","year":"2015","unstructured":"Jim\u00e9nez-Ruiz, E., et al.: BootOX: practical mapping of RDBs to OWL 2. In: Arenas, M., et al. (eds.) ISWC 2015. LNCS, vol. 9367, pp. 113\u2013132. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-25010-6_7"},{"issue":"2","key":"8_CR17","doi-asserted-by":"publisher","first-page":"167","DOI":"10.3233\/SW-140134","volume":"6","author":"J Lehmann","year":"2015","unstructured":"Lehmann, J., et al.: DBpedia-a large-scale, multilingual knowledge base extracted from Wikipedia. Semant. web 6(2), 167\u2013195 (2015)","journal-title":"Semant. web"},{"key":"8_CR18","doi-asserted-by":"publisher","first-page":"100761","DOI":"10.1016\/j.websem.2022.100761","volume":"76","author":"J Liu","year":"2022","unstructured":"Liu, J., Chabot, Y., Troncy, R., Huynh, V.P., Labb\u00e9, T., Monnin, P.: From tabular data to knowledge graphs: a survey of semantic table interpretation tasks and methods. J. Web Semant. 76, 100761 (2022)","journal-title":"J. Web Semant."},{"key":"8_CR19","unstructured":"Liu, J., Troncy, R.: Dagobah: an end-to-end context-free tabular data semantic annotation system. In: Semantic Web Challenge on Tabular Data to Knowledge Graph Matching Workshop, International Semantic Web Conference, pp. 41\u201348 (2019)"},{"key":"8_CR20","series-title":"Studies in Computational Intelligence","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1007\/978-3-030-64619-6_8","volume-title":"Semantic IoT: Theory and Applications","author":"GE Modoni","year":"2021","unstructured":"Modoni, G.E., Sacco, M.: Discovering critical factors affecting RDF stores success. In: Pandey, R., Paprzycki, M., Srivastava, N., Bhalla, S., Wasielewska-Michniewska, K. (eds.) Semantic IoT: Theory and Applications. SCI, vol. 941, pp. 193\u2013206. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-64619-6_8"},{"key":"8_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"194","DOI":"10.1007\/978-3-642-17749-1_13","volume-title":"The Semantic Web \u2013 ISWC 2010","author":"MJ O\u2019Connor","year":"2010","unstructured":"O\u2019Connor, M.J., Halaschek-Wiener, C., Musen, M.A.: Mapping master: a flexible approach for mapping spreadsheets to OWL. In: Patel-Schneider, P.F., et al. (eds.) ISWC 2010. LNCS, vol. 6497, pp. 194\u2013208. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-17749-1_13"},{"key":"8_CR22","unstructured":"Parsia, B., Rudolph, S., Kr\u00f6tzsch, M., Patel-Schneider, P., Hitzler, P.: OWL 2 Web Ontology Language Primer (Second Edition). W3C Recommendation, W3C (2012). https:\/\/www.w3.org\/TR\/owl2-primer"},{"issue":"1","key":"8_CR23","doi-asserted-by":"publisher","first-page":"25","DOI":"10.3233\/SW-170268","volume":"9","author":"C Pinkel","year":"2018","unstructured":"Pinkel, C., et al.: RODI: benchmarking relational-to-ontology mapping generation quality. Semant. Web 9(1), 25\u201352 (2018)","journal-title":"Semant. Web"},{"key":"8_CR24","doi-asserted-by":"publisher","first-page":"100709","DOI":"10.1016\/j.websem.2022.100709","volume":"73","author":"M Ruta","year":"2022","unstructured":"Ruta, M., et al.: A multiplatform reasoning engine for the semantic web of everything. J. Web Semant. 73, 100709 (2022)","journal-title":"J. Web Semant."},{"issue":"1","key":"8_CR25","doi-asserted-by":"publisher","first-page":"183","DOI":"10.3233\/SW-180314","volume":"10","author":"M Ruta","year":"2019","unstructured":"Ruta, M., Scioscia, F., Loseto, G., Pinto, A., Di Sciascio, E.: Machine learning in the internet of things: a semantic-enhanced approach. Semant. Web 10(1), 183\u2013204 (2019)","journal-title":"Semant. Web"},{"key":"8_CR26","unstructured":"Schreiber, G., Gandon, F.: RDF 1.1 XML syntax. Recommendation, W3C (2014). https:\/\/www.w3.org\/TR\/rdf-syntax-grammar\/"},{"key":"8_CR27","unstructured":"Schreiber, G., Gandon, F.: RDF-star and SPARQL-star. Draft community group report, W3C (2023). https:\/\/w3c.github.io\/rdf-star\/cg-spec\/editors_draft.html"},{"key":"8_CR28","doi-asserted-by":"publisher","first-page":"1148331","DOI":"10.3389\/fdata.2023.1148331","volume":"6","author":"JR Talburt","year":"2023","unstructured":"Talburt, J.R., Ehrlinger, L., Magruder, J.: Automated data curation and data governance automation. Front. Big Data 6, 1148331 (2023)","journal-title":"Front. Big Data"},{"issue":"4","key":"8_CR29","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1007\/BF02289263","volume":"18","author":"R Thorndike","year":"1953","unstructured":"Thorndike, R.: Who belongs in the family? Psychometrika 18(4), 267\u2013276 (1953)","journal-title":"Psychometrika"},{"issue":"2","key":"8_CR30","first-page":"72","volume":"38","author":"T Van Veen","year":"2019","unstructured":"Van Veen, T.: Wikidata: from \u201can\u2019\u2019 identifier to \u201cthe\u2019\u2019 identifier. Inf. Technol. Libr. 38(2), 72\u201381 (2019)","journal-title":"Inf. Technol. Libr."},{"key":"8_CR31","doi-asserted-by":"crossref","unstructured":"Vu, B., Knoblock, C., Pujara, J.: Learning semantic models of data sources using probabilistic graphical models. In: The World Wide Web Conference, pp. 1944\u20131953 (2019)","DOI":"10.1145\/3308558.3313711"}],"container-title":["Communications in Computer and Information Science","Current Trends in Web Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-50385-6_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,3]],"date-time":"2024-01-03T17:11:29Z","timestamp":1704301889000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-50385-6_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031503849","9783031503856"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-50385-6_8","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"4 January 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICWE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Web Engineering","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Alicante","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 June 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 June 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icwe2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icwe2023.webengineering.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easy chair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"23","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"10","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"43% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.5","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}