Extended Lecture Shinshu University Nagano City Japan April

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Extended Lecture Shinshu University · Nagano City, Japan April 22, 2002 Information Modeling Perspective

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

Information Hierarchy & Engineering IT - Informal Definitions Adapted from Yee Hsun U ,

Information Hierarchy & Engineering IT - Informal Definitions Adapted from Yee Hsun U , Gintic, Singapore Information Hierarchy Model Intelligence Usefulness Relative + application Knowledge Interpreted + relations Information Organized + structure Data Absolute 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. Engineering IT is the enabling Information Technology, combined with domain technology and knowledge, to solve engineering and engineering-related problems. In this short course context, the term “information” is used generically to include all the above unless otherwise noted. 2

Information modelling u Based on Source: http: //www. epmtech. jotne. com u Information modelling

Information modelling u Based on Source: http: //www. epmtech. jotne. com u 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 3

Information modelling (cont. ) u Non-IT examples of information modelling: Based on Source: http:

Information modelling (cont. ) u Non-IT examples of information modelling: Based on Source: http: //www. epmtech. jotne. com – 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) u Music is also modelled using a limited set of symbols 4

An abstraction of the real world Represents Abstraction (Model) Real World Name of person

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

Multi-fidelity Models & Content Sufficiency Example: Supporting age in a people information model Model

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