15. A method comprising: mapping a plurality of documents in a first data source to a plurality of traits in a second data source, wherein each trait in the plurality of traits comprises one or more characteristics, is instance-based, and serves comprises as a proxy for uniquely identifying each object from among a plurality of objects, and wherein at least one of the plurality of traits has a different number of characteristics than another trait; scoring the relevancy of a document from among the plurality of documents to at least one record from the second data source; and determining that an association of a first trait to a first record is correct if a first text from a first document pertains to either the first record or to an accessory of the product represented by the first record.
15. A method comprising: mapping a plurality of documents in a first data source to a plurality of traits in a second data source, wherein each trait in the plurality of traits comprises one or more characteristics, is instance-based, and serves comprises as a proxy for uniquely identifying each object from among a plurality of objects, and wherein at least one of the plurality of traits has a different number of characteristics than another trait; scoring the relevancy of a document from among the plurality of documents to at least one record from the second data source; and determining that an association of a first trait to a first record is correct if a first text from a first document pertains to either the first record or to an accessory of the product represented by the first record. 17. The method of claim 15 , further comprising composing the first data source and the second data source based on the mapping and scoring.