An Accounting Model Based Approach to Semantic Reconciliation in Heterogeneous D
An Accounting Model Based Approach to Semantic Reconciliation in Heterogeneous D
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In our eReader you can find the full English version of the book. Read An Accounting Model Based Approach to Semantic Reconciliation in Heterogeneous D Online - link to read the book on full screen. Our eReader also allows you to upload and read Pdf, Txt, ePub and fb2 books. In the Mini eReder on the page below you can quickly view all pages of the book - Read Book An Accounting Model Based Approach to Semantic Reconciliation in Heterogeneous D
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To quickly assess the difficulty of the text, read a short excerpt:
The data for "Gross profit" from Dataline are less reliable than those of LotusOne and Disclosure for the following reasons: • The items which arc associated with "Gross Profit" are "Cost of Goods Sold" and "Net Sales" (See Figure 3). Since Dataline docs not provide any data for "Cost of Goods Sold" which is required to calculate "Gross Profit, " we cannot verify the figure for "Gross Profit" from Dataline.
• The other two databases, LotusOne and Disclosure, provide data for both "Cost of Goods... Sold" and "Net Sales" and the data for "Gross Profit" is consistent with the explicit relationship of "Gross Profit" = "Net Sales" - "Cost Of Goods Sold. " The above observation suggests that none of the databases dominate others in terms of reliability. Consequently, when we encounter account data level inconsistencies, we should infer data reliability, case by case, with the help of the following rules.
1. Use the knowledge represented in the accounting model to find the relationship which links the associated accounts to the account in question.
What to read after An Accounting Model Based Approach to Semantic Reconciliation in Heterogeneous D?
You can find similar books in the "Read Also" column, or choose other free books by Y Richard Yng Yuh Richard Wang to read onlineMoreLess
To quickly assess the difficulty of the text, read a short excerpt:
The data for "Gross profit" from Dataline are less reliable than those of LotusOne and Disclosure for the following reasons: • The items which arc associated with "Gross Profit" are "Cost of Goods Sold" and "Net Sales" (See Figure 3). Since Dataline docs not provide any data for "Cost of Goods Sold" which is required to calculate "Gross Profit, " we cannot verify the figure for "Gross Profit" from Dataline.
• The other two databases, LotusOne and Disclosure, provide data for both "Cost of Goods... Sold" and "Net Sales" and the data for "Gross Profit" is consistent with the explicit relationship of "Gross Profit" = "Net Sales" - "Cost Of Goods Sold. " The above observation suggests that none of the databases dominate others in terms of reliability. Consequently, when we encounter account data level inconsistencies, we should infer data reliability, case by case, with the help of the following rules.
1. Use the knowledge represented in the accounting model to find the relationship which links the associated accounts to the account in question.
What to read after An Accounting Model Based Approach to Semantic Reconciliation in Heterogeneous D?
You can find similar books in the "Read Also" column, or choose other free books by Y Richard Yng Yuh Richard Wang to read onlineMoreLess
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