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===== Probabilistic techniques ===== Limaye et al.<ref name=":7">{{Cite journal |last1=Limaye |first1=Girija |last2=Sarawagi |first2=Sunita |last3=Chakrabarti |first3=Soumen |date=2010-09-01 |title=Annotating and searching web tables using entities, types and relationships |url=https://doi.org/10.14778/1920841.1921005 |journal=Proceedings of the VLDB Endowment |volume=3 |issue=1–2 |pages=1338–1347 |doi=10.14778/1920841.1921005 |issn=2150-8097 |s2cid=9262964}}</ref> uses [[Tf–idf|TF-IDF]] similarity and [[graphical model]]s. They also use [[support-vector machine]] to compute the weights. Venetis et al.<ref name=":8">{{Cite journal |last1=Venetis |first1=Petros |last2=Halevy |first2=Alon |last3=Madhavan |first3=Jayant |last4=Paşca |first4=Marius |last5=Shen |first5=Warren |last6=Wu |first6=Fei |last7=Miao |first7=Gengxin |last8=Wu |first8=Chung |date=2011-06-01 |title=Recovering semantics of tables on the web |url=https://doi.org/10.14778/2002938.2002939 |journal=Proceedings of the VLDB Endowment |volume=4 |issue=9 |pages=528–538 |doi=10.14778/2002938.2002939 |issn=2150-8097 |s2cid=11359711}}</ref> construct an isA database which consists of the pairs (instance, class) and then compute maximum likelihood using these pairs. Alobaid and Corcho<ref>{{Cite journal |last=Alobaid |first=Ahmad |last2=Corcho |first2=Oscar |date=March 2024|title=Linear approximation of the quantile–quantile plot for semantic labelling of numeric columns in tabular data |url=https://linkinghub.elsevier.com/retrieve/pii/S0957417423026544 |journal=Expert Systems with Applications |language=en |volume=238 |pages=122152 |doi=10.1016/j.eswa.2023.122152|url-access=subscription }}</ref> approximated the q-q plot for predicting the properties of numeric columns.
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