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Title: Schemas, Patterns, Frames and Knowledge in Systems Development


1
Schemas, Patterns, Frames and Knowledgein
Systems Development
  • Lecture 10

2
Topics
  • Schemas, Patterns and Frames in computing and
    psychology
  • A problem The Police Identity Parade
  • Multiple levels of Frames
  • Repository
  • Simulation
  • Decision support
  • Matching problems

3
Schema in Database
Development
descriptive
What is a route?
service
schema
Domain of Discourse
Use
prescriptive
A route is a
4
Database Schema in Use
  • Schema has a fixed structure with a set of place
    holders to allow variation
  • A slot for the single destination of all buses on
    the route
  • So a route cant have multiple destinations
  • But the last 70 goes to Muller Road Depot, not
    Centre
  • So this will have to be a different route
  • Or alter schema to allow over-ride destination in
    departure
  • A Schema structures our perception of the world
  • We change the schema when the fit is poor

5
Minskys Frames
  • Marvin Minsky is one of the fathers of artificial
    intelligence
  • When one encounters a new situation (or makes a
    substantial change in one's view of the present
    problem) one selects from memory a structure
    called a Frame. This is a remembered framework to
    be adapted to fit reality by changing details as
    necessary
  • A frame is a data-structure for representing a
    stereotyped situation, like being in a certain
    kind of living room, or going to a child's
    birthday party. Attached to each frame are
    several kinds of information. Some of this
    information is about how to use the frame. Some
    is about what one can expect to happen next. Some
    is about what to do if these expectations are not
    confirmed.
  • Thinking always begins with suggestive but
    imperfect plans and images these are
    progressively replaced by betterbut usually
    still imperfectideas.
  • Marvin Minsky, A Framework for Representing
    Knowledge, MIT-AI Laboratory Memo 306, June, 1974

6
Gestalt psychology
  • Gestalt form pattern shape organised whole
    or unit
  • notion of pre-existing schemata, or
    organisational frameworks for structuring
    information, as opposed to perception built up
    from visual stimulus alone.
  • In the case of visual perception, a schemata
    provides a framework within which external
    stimuli are sensible. A frogs visual and motor
    system is pre-programmed for fly-recognition

7
Design Studies
  • Cognitive psychologists observe that for an
    experienced analyst designing a familiar object
    in a familiar domain, the overall task could be
    characterised as being dominated by the retrieval
    of previously-stored knowledge (Adelson and
    Soloway).
  • Research by Curtis et al has shown the importance
    of domain knowledge in design, where domain
    knowledge entails understanding of the problems
    which occur in a specific application field and
    the tried and tested (and the failed) solutions.
  • Brown and Chandrasekaran identify the strategy of
    'Design by Critiquing and Modifying Almost
    Correct Designs' as one of four main design
    processes (decomposition, design plans, and
    constraint solving are the others).

8
Pre-structuring
  • Hillier, Musgrove and O'Sullivan suggest that
    building design is essentially a matter of
    prestructuring problems based on the designer's
    knowledge
  • of solution types
  • of the 'latencies of the instrumental set' (the
    raw materials time) in relation to solution
    types
  • of informal 'codes' which relate problems to
    solution types
  • it is not a matter of whether the problem is
    pre-structured but how it is pre-structured, and
    whether the designer is prepared to make this
    prestructuring the object of his critical
    attention
  • Hillier Musgrove and OSullivan Knowledge and
    Design 1972

9
Patterns
  • Christopher Alexander and colleagues wrote an
    influential collection of 253 patterns for
    living good solutions to recurring problems in
    architecture.
  • Language intended to provide a basis for
    community architecture
  • Gamma et al picked up this work and applied it to
    the emerging area of Object-oriented Programming.
  • Provides a language for developers to use within
    a project
  • We need the Observer pattern here
  • Pattern conferences develop a rich array of
    patterns encapsulating the experience of
    developers in many software and organisational
    contexts.

10
Language Patterns
  • Web development requires knowledge of many
    languages SQL, PHP, JavaScript, CSS, XHTML
  • Formal languages have common problems to solve,
    but solve them in different ways
  • e.g. separating natural language (comments) form
    the formal language
  • Sequence, iteration and selection
  • Strings
  • Arrays
  • My Language patterns project is attempting to
    create a reference book of language patterns and
    their solution in a range of languages

11
Jacksons Problem Frames
  • An inability to discuss problems explicitly has
    been one of the most glaring deficiencies of
    software practice and theory. Again and again
    writers on development methods claim to offer an
    analysis of a problem when in fact they offer
    only an outline of the solution, leaving the
    problem unexplored and unexplained
  • Jackson adopts a more formal, analytic approach
    to problem analysis and has identified a small
    number of Problem Frames. more in a later
    lecture

12
Some Frames in Information Systems
Resource Management
Case handling
Information Display
Decision Support
WorkPiece
Required Behaviour
Classifying
Commanded Behaviour
Matching
(Jacksons Problem Frames)
Transformation
Repository
13
Problem Police Identity Parade (PIP)
  • Read overview
  • In summary
  • Police station has to arrange an identity parade
    in which a suspect is placed alongside similar
    persons and a witness asked to identify a person
    seen at the crime.

14
What Kind of System is it?
  • a repository of data
  • a model of a Domain of Discourse
  • a decision support system
  • For police officers selecting volunteers
  • For the witness identifying persons at the scene
    of crime
  • a co-ordinator of human activity
  • a tool for the construction of an artefact
  • a learning system
  • .....
  • Real systems have aspects of several kinds but it
    helps to focus of each viewpoint in turn, then
    integrate them divide and rule

15
Repository Frame (Data Store)
  • Common to view an information system as a simple
    repository of data.
  • Data is collected, stored, kept safe from falling
    into the wrong hands, from being lost.
  • Data can be extracted, reorganised, removed if no
    longer relevant
  • Data should only be accepted if it conforms to
    rules for good data -integrity rules
  • Also called CRUD (Create, Retrieve, Update,
    Destroy)
  • Repository may be computer based or in some
    other form paper, brain, organization

16
Repository Frame in PIP
  • In the problem, we need to be able to
  • store data about suspects and volunteers
  • readily retrieve data when required
  • keep the data secure from loss, or access by the
    wrong people
  • Metaphor SYSTEM IS A BANK

17
Transformation Frame (Process)
  • An input in one format or medium is converted
    into an output in another format or medium
  • Converting from the temperature of a room into a
    4 bit digital value
  • Converting from XML to HTML
  • Converting from text to speech
  • Converting from printed matter to text (OCR)
  • Subsidiary Processes
  • Parsing understanding the structure of the input
  • Filtering out irrelevant parts of the input
  • Merging multiple inputs
  • Connecting the output of one transformation to
    the input of another
  • METAPHOR system is a PRODUCTION LINE

18
Transformations in PIP
  • Volunteer interviewed and physical
    characteristics recorded
  • Facial image captured and transformed to an image
    on a screen
  • Typed statements OCRed

19
Information Display(Map) Frame
  • System contains a model of the domain of
    discourse . This model is used to present
    re-organised data about the domain of discourse.
  • Issues
  • How much of the real world to model, in what
    detail to support needs of users, now and in the
    future?
  • How to ensure that the model and the real world
    stay closely in synchrony - that changes to the
    real world (a volunteer moves house) are
    reflected in the model (address field updated)
    quickly and accurately
  • How best to represent the model for specific
    purposes and audiences
  • Metaphor SYSTEM IS A MAP

20
Information Display in PIP
  • How is a suspect to be represented in the system
    for the purposes of the PIP?
  • How is a volunteer to be represented?
  • How do we know when a volunteer changes in some
    relevant way?
  • Removes beard
  • Moves
  • Who should be able to view the suspects details?

21
Frame relations
  • Information Display Frame uses
  • Repository for persistent storage of model
  • Transformation
  • In mapping real world phenomena into symbols in
    the repository
  • In representing symbols in the repository to
    observable phenomena

22
Other IS Frames to be explored
  • Business Level
  • Resource Management
  • Case handling
  • Decision Support
  • Business Transaction
  • Generic Frames
  • Matching
  • Classifying

23
Resource Managment Frame
  • Allocation of scarce resources, such as
  • seats on flights
  • rooms for lectures
  • beds for patients
  • volunteers to identity parades
  • Problem is to maximise utilisation of resources
    whilst minimising delay and inconvenience to
    parties
  • Common Issues
  • Granularity of resource units
  • Handling time
  • Modelling and visualising allocations
  • Cancellation policy
  • Over-booking policy
  • Allocation policy - priorities, up-grading
  • A common sub-problem is to match a clients needs
    to available resources

24
Matching situations
  • From the easy to the very hard
  • A word to a dictionary of valid words
  • A poorly typed word to a dictionary of valid
    words
  • T9 speedtexting
  • A customer on the phone to bank accounts
  • De-duping mailing lists
  • CD DB - CD recognition
  • Shazam sound sample matching
  • COTS selection
  • IS development approach selection

25
Matching Frame
  • Matching typically involve
  • A Requirement and multiple Resources
  • the sample of music / suspect - Requirement
  • the database of tracks /volunteers Resources
  • adequate representations of both
  • A definition of how to measure how well matched a
    Requirement is to a Resource
  • A process to select the best match
  • Automated lt gt human
  • One-off ltgt iterative

26
Anagrams
  • Find an anagram for an English word
  • ORCHESTRA
  • Matching function
  • Break word into letters and sort the letters
  • ACEHORRST
  • Match with a dictionary in which all words have a
    sorted letters field
  • CARTHORSE
  • HORSECART

27
Shazam - 2580
  • Shazam is a mobile phone application
  • It can recognise 1.7 million tracks from a 30 sec
    sample new tracks added at 5,000 a week
  • The track details are texted back within about
    30secs
  • It costs 50p 9p call charge (surcharge only if
    successful)
  • Your personal page shows the tracks you have
    tagged
  • www.shazam.com

28
CD DB
  • Database of 2.5 million CDs, track details and
    supporting matter run by gracenote
    (www.gracenote.com)
  • Used by media players to obtain track info
  • Player sends signature of CD sequence of track
    lengths in 1/4sec to match against the database
    (via HTTP)
  • Application searches DB for best match and
    returns track info to media player.
  • Matching algorithm described in US Patent
    6,061,680

29
De-duping
A catalogue from OReilly
C Wallace West England University Coldharbour
Lane Frenchay Bristol BS16 1QY
Ms C Wallace Univ. of the West of
England Frenchay Campus Coldharbour
Lane Bristol BS16 1QY
One person or two?
Mailing lists are reported with 25 40
duplicates.
30
Commercial Of the Shelf Software (COTS)
  • Software exists for most business needs
  • payroll
  • order processing
  • general ledger
  • human resources
  • e-commerce
  • e.g. SAP, SAGE ..
  • Analysts need to match business needs to COTS
    capability, and customise generic software for
    local business rules.

31
Police ID parade
  • Currently
  • Suspect matched to Volunteers visually by officer
  • Information System
  • Suspect and Volunteers modelled in database
  • System provides list of matching volunteers

32
Frame Approach to Development
  • Rough description of Problem
  • Select suitable Frame(s) to fit Problem
  • A well-fitting Frame provides
  • standard terminology
  • checklist of issues which need to be addressed,
    questions which need to be asked
  • index of solutions to commonly occurring
    sub-problems
  • Frame allows us to draw upon relevant prior
    knowledge of this problem type
  • Identifying appropriate Frames is a Matching
    Problem!

33
Tutorial Questions
  • PIP
  • Identify aspects of the Police Identity Parade
    problem which map into these Frames
  • Repository
  • Information Display
  • Resource Management
  • Matching
  • What analysis questions do these frames suggest?
  • What is left out?
  • Matching
  • Suggest 3 other applications whose core frame is
    matching
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