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This article proposes Tab2KG \u2013 a novel method that targets at the interpretation of tables with previously unseen data and automatically infers their semantics to transform them into semantic data graphs. We introduce original lightweight semantic profiles that enrich a domain ontology\u2019s concepts and relations and represent domain and table characteristics. We propose a one-shot learning approach that relies on these profiles to map a tabular dataset containing previously unseen instances to a domain ontology. In contrast to the existing semantic table interpretation approaches, Tab2KG relies on the semantic profiles only and does not require any instance lookup. This property makes Tab2KG particularly suitable in the data analytics context, in which data tables typically contain new instances. Our experimental evaluation on several real-world datasets from different application domains demonstrates that Tab2KG outperforms state-of-the-art semantic table interpretation baselines.<\/jats:p>","DOI":"10.3233\/sw-222993","type":"journal-article","created":{"date-parts":[[2022,3,29]],"date-time":"2022-03-29T14:32:24Z","timestamp":1648564344000},"page":"571-597","source":"Crossref","is-referenced-by-count":7,"title":["Tab2KG: Semantic table interpretation with lightweight semantic profiles"],"prefix":"10.1177","volume":"13","author":[{"given":"Simon","family":"Gottschalk","sequence":"first","affiliation":[{"name":"L3S Research Center, Leibniz Universit\u00e4t Hannover, Hannover, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elena","family":"Demidova","sequence":"additional","affiliation":[{"name":"Data Science & Intelligent Systems (DSIS), University of Bonn, Bonn, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"issue":"4","key":"10.3233\/SW-222993_ref1","doi-asserted-by":"publisher","first-page":"557","DOI":"10.1007\/s00778-015-0389-y","article-title":"Profiling relational data: A survey","volume":"24","author":"Abedjan","year":"2015","journal-title":"VLDB J."},{"key":"10.3233\/SW-222993_ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2021.103076"},{"issue":"1","key":"10.3233\/SW-222993_ref3","doi-asserted-by":"publisher","first-page":"5","DOI":"10.3233\/SW-200397","article-title":"Typology-based semantic labeling of numeric tabular data","volume":"12","author":"Alobaid","year":"2021","journal-title":"Semantic Web"},{"key":"10.3233\/SW-222993_ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3442442.3452339"},{"key":"10.3233\/SW-222993_ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-76298-0_52"},{"issue":"12","key":"10.3233\/SW-222993_ref6","doi-asserted-by":"publisher","first-page":"2140","DOI":"10.14778\/3229863.3240492","article-title":"Ten years of WebTables","volume":"11","author":"Cafarella","year":"2018","journal-title":"Proc. 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