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From Data to Semantic Information
AbstractThere is no consensus yet on the definition of semantic information. This paper contributes to the current debate by criticising and revising the Standard Definition of semantic Information (SDI) as meaningful data, in favour of the Dretske-Grice approach: meaningful and well-formed data constitute semantic information only if they also qualify as contingently truthful. After a brief introduction, SDI is criticised for providing necessary but insufficient conditions for the definition of semantic information. SDI is incorrect because truth-values do not supervene on semantic information, and misinformation (that is, false semantic information) is not a type of semantic information, but pseudo-information, that is not semantic information at all. This is shown by arguing that none of the reasons for interpreting misinformation as a type of semantic information is convincing, whilst there are compelling reasons to treat it as pseudo-information. As a consequence, SDI is revised to include a necessary truth-condition. The last section summarises the main results of the paper and indicates the important implications of the revised definition for the analysis of the deflationary theories of truth, the standard definition of knowledge and the classic, quantitative theory of semantic information.
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MDPI and ACS Style
Floridi, L. From Data to Semantic Information. Entropy 2003, 5, 125-145.View more citation formats
Floridi L. From Data to Semantic Information. Entropy. 2003; 5(2):125-145.Chicago/Turabian Style
Floridi, Luciano. 2003. "From Data to Semantic Information." Entropy 5, no. 2: 125-145.