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Information Modeling Perspective & Summary

Extended Lecture Shinshu University · Nagano City, Japan April 22, 2002. Information Modeling Perspective & Summary. Russell Peak Senior Researcher Manufacturing Research Center Georgia Tech.

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Information Modeling Perspective & Summary

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  1. Extended LectureShinshu University · Nagano City, JapanApril 22, 2002 Information ModelingPerspective & Summary Russell Peak Senior Researcher Manufacturing Research Center Georgia Tech

  2. Information Hierarchy & Engineering IT - Informal DefinitionsAdapted from Yee Hsun U , Gintic, Singapore Information Technology (IT) is the technology of modeling, archival, retrieval & distribution, organizing & processing, and further creation of intelligence, knowledge, information and data based on the Information Hierarchy model. Information Hierarchy Model Relative Intelligence Usefulness + application Knowledge Interpreted + relations Engineering IT is the enabling Information Technology, combined with domain technology and knowledge, to solve engineering and engineering-related problems. Information + structure Organized Data Absolute In this short course context, the term “information” is used generically to include all the above unless otherwise noted.

  3. Information modelling • Information modelling is to capture the characteristics of a real world object or process using a formalised notation. • Information modelling is important to be able to capture, use, and exchange information • It is a model that rarely (ever?) captures 100% reality • Can make a given model adequate for a given set of purposes (i.e., questions and tasks it needs to support) • Can have multiple models of varying fidelity • Trade-offs: fidelity/capability vs. complexity/ease-of-use vs. cost Based on Source: http://www.epmtech.jotne.com

  4. Information modelling (cont.) • Non-IT examples of information modelling: • Speech (meaning) is modelled via textual language (letters forming words that are combined according to a grammar) • Enables capture, usage, and exchange of speech (meaning) using a non-audio medium. • Can be exact (as in legal contracts) or intentionally vague (as in poetry) • Music is also modelled using a limited set of symbols Based on Source: http://www.epmtech.jotne.com

  5. An abstraction of the real world Represents Abstraction (Model) Real World Name of person name Person STRING street STRING lives_in Address city STRING owns no Telephone INTEGER ENTITY PERSON; name : STRING; lives_in : Address; owns : Telephone; END_ENTITY; ENTITY Address; street : STRING; city : STRING; END_ENTITY; • Address • Street • City Based on Source: http://www.epmtech.jotne.com ENTITY Telephone; no : INTEGER; END_ENTITY; Telephone number

  6. Multi-fidelity Models & Content SufficiencyExample: Supporting age in a people information model Model content depends on: a) operations to be supported (including questions to be answered ) b) desired accuracy c) available resources How old are you? • In years: • fidelity 1: age = current year - year of birth ... • fidelity 2: also consider: is today before/after birthday? • In days: • fidelity 3: do not consider leap years • fidelity 4: consider leap years • In hours: • fidelity 5: consider time zone • fidelity 6: consider planetary orbit adjustments • In seconds: • fidelity 7: is sufficiently accurate data available? Can have various calculation methods for each fidelity level

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