{"product_id":"labeling-anonymous-datasets-von-emdad-ahmed","title":"Labeling Anonymous Datasets","description":"\u003cp\u003eA large number of wrappers generate tables without column names for human consumption  because the meaning of the columns are apparent from the context and easy for humans to  understand, but in emerging applications, labels are needed for autonomous assignment and  schema mapping where machine tries to understand the tables. Autonomous label assignment  is critical in volume data processing where ad hoc mediation, extraction and querying is  involved.    We propose an algorithm Lads for Labeling Anonymous Datasets, which can holistically  label\/annotate tabularWeb document. The algorithm has been tested on anonymous datasets  from a number of sites, yielding very promising results.\u003c\/p\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783659260568\"\u003e\u003ch3\u003ePost Processing Wrapper Generated Tables for labeling Anonymous Datasets\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Softcover - 9783659260568","offer_id":39486451122269,"sku":"9783659260568","price":49.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/7d53fc6c-f019-4966-885e-f2a6c4bcac42.jpg?v=1773379402","url":"https:\/\/shop.autorenwelt.de\/en\/products\/labeling-anonymous-datasets-von-emdad-ahmed","provider":"Autorenwelt Shop","version":"1.0","type":"link"}