Identification of the Most Specific Information that a Signal Carries by Using Barwise-Seligman Theory of Information Channel | Zendy

Rashmi Mantri | Zendy; Junkang Feng | Zendy

Open Access

Identification of the Most Specific Information that a Signal Carries by Using Barwise-Seligman Theory of Information Channel

Author(s) -

Rashmi Mantri,

Junkang Feng

Publication year - 2010

Publication title -

computer and information science

Language(s) - English

Resource type - Journals

eISSN - 1913-8997

pISSN - 1913-8989

DOI - 10.5539/cis.v3n4p3

Subject(s) - computer science , channel (broadcasting) , information flow , identification (biology) , representation (politics) , information theory , phenomenon , signal (programming language) , information quality , field (mathematics) , theoretical computer science , information retrieval , information system , linguistics , epistemology , programming language , telecommunications , mathematics , philosophy , botany , statistics , electrical engineering , politics , pure mathematics , political science , law , biology , engineering

It is a renowned phenomenon that a sign or a signal is a representation of information. Moreover Drestke claims that a sign or signal can carry only one piece of information in ‘digital form’ and any other in ‘analogue form’ in that the latter is nested in the former. After having checked in literature, a problem is dawn to us, namely no one seems to have explained how such pieces of information may be identified. We believe that it is desirable to address this problem at least as far as information systems are concerned. This is because, once identified, only such information needs to be represented explicitly and all others would be automatically represented as a result. This may applicable to database design, knowledge discovery and semantic level interoperability in the IT field, and also other fields, such as production, manufacturing and quality control where the Pareto principle could be applied. Our approach is based upon a mathematical theory of information flow, namely Barwise and Seligman’s information channel theory through a case study on commonly seen traffic light. A channel is formed and the question in problem is addressed by defining the notions of classification, infomorphism, state spaces, core of the channel, constraints and serial composition of the channel.

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