Notes
Slide Show
Outline
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Knowledge Organization Schemes
Concept Systems & Ontologies
Subject Field Categories
      • Sue Ellen Wright
      • Kent State University
      • Institute of Applied Linguistics
      • © Sue Ellen Wright 2006
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Tree Diagram
Generic Concept System
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Generic Concept Systems
  • Hierarchical structures
  • A (subordinate concept) is a kind of B
  • A manual transmission automobile with a coil spring clutch …
    • Is a kind of manual transmission automobile
      • Is a kind of automobile
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Terminology: Broader concepts
  • A word that is more generic or broad than another given word.
    •  superordinate concept
    •  hypernym / hyperonym
    •  broader term / broader concept
    •  parent concept
  • Highest level: ancestor, Oberbegriff, top term
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Terminology: Narrower concepts
  • One of a set of related words whose meaning are specific instances of a more general word e.g., red, white, blue, etc., are hyponyms of the word color)
    • subordinate concept
    • hyponym
    • narrower term
    • child concept
  • Is a …  or is a kind of … relations
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Terminology: Coordinate concepts
  • Any one of a set of related words/concepts whose meanings are specific instances of the same more general word e.g., red, white, blue, etc., are hyponyms of the word color)
    • coordinate concept
    • co-hyponym
    • sibling
    • sister-term/sister-concept


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Intension and Extension
  • Intension = all critical characteristics of the concept
    • E.g., automobile: four wheels, chassis, passenger compartment, engine, designed for carrying people, goods, self-propelled, etc
  • Extension = all instances of the concept
    • E.g., all automobiles
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Intension vs. Extension
  • The greater the intension, the smaller the extension
  • Each added characteristic (which increases the intension) narrows the number of objects included in the extension (the instances of individuals that have these characteristics
    • vehicle has fewer critical characteristics than speedboat
    • there are more vehicles than there are speedboats

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Extensional Definitions
  • Beetles vs. Beatles
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Example
  • Intension: 1) canine animals (dogs)
  • Intension: 1) canine animals 2) bred for catching small vermin close to the ground (terriers)
  • Intension: 1) canine animals 2) bred for catching small vermin 3) in Scotland and that have 4) black or wheaten fur (Scottish terriers)
  • There are more dogs than terriers and more terriers than Scotties
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Tracing to a Primitive Concept
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Kinds of Houses
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Kinds of Houses
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Bracket Diagram:
Partitive Concept System
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Terminology: Part-whole systems
  • A constituent part of, or a member of something (the whole).
    • part … whole (partitive system)
    • meronym … holonym (meronymic system)
  • Involves “has a …” relations (car has a steering wheel) or “is a part of” relations (steering wheel is part of a car)


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Partitive Concept System
  • A (superordinate concept) has a B
  • B (subordinate concept) is a part of A
    • A clutch has a cover, a diaphragm spring, straps, balance rivets, spacer bolts, etc.
    • A cover is a part of a clutch.
  • Also called part-whole concept systems or meronymic concept systems




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Partitive Concept System for House
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Faceted
Concept Fields
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Sequential System
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Sequential Power Flow
  • Power flows from:
    • The engine to the crankshaft to the flywheel to the clutch pressure plate to the leaf springs to the clutch disc to the transmission shaft to the drive shaft to the U-joint to the rear axle to the wheels
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Flow
Chart
Representation
of
Sequential
System
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Associative Concept System
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Incomplete Concept Systems
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Monodimensional Database Representation
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Defining Subject Fields in Termbases
  • Define hierarchical categories
  • Define associative categories
  • Define probable sorting categories
  • Allow for multiple categories
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Defining Subject Fields
  • Sort by (e.g.):
    • Generic system
    • Job type
    • Customer
    • Project
    • Product group
    • Job owner
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Kinds of Knowledge Organization Schemes
  • Simple lists, glossaries, terminologies, dictionaries
  • Ordered lists, authority files
  • Classification systems & taxonomies
  • Concept-system based terminologies, ontologies
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Ontology Defined
  • Knowledge ordering scheme that defines the common words and concepts (meanings) used to describe and represent an area of knowledge. including computer-usable definitions of basic concepts in the domain and the relationships among them in such a way as to make knowledge reusable.
  • An ontology is a concept system + a computational model that enables machine processing of information / data / knowledge.
      • Based on discussion by Leo Oberst
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μkosmos
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Applications for Ontologies
  • Information management & retrieval
  • Object management (e.g., inventories)
  • Building the semantic web (W3C)
    • OWL and SKOS
      • Web Ontology Language
      • Simple Knowledge Ordering System
    • Creating environments for intelligent agents
    • Interoperability & convergence

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Online Ontological Resources
  • Visual Thesaurus
    • http://www.visualthesaurus.com/online/index.jsp
  • Wordnet (Original, Princeton)
    • http://wordnet.princeton.edu/
  • MultiWordnet
    • http://multiwordnet.itc.it/online/multiwordnet.php
  • Thesaurus.com
    • http://thesaurus.reference.com/
  • NASA Thesaurus
    • http://www.sti.nasa.gov/thesfrm1.htm


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Wordnet
  • WordNet® is an online lexical reference system whose design is inspired by current psycholinguistic theories of human lexical memory. English nouns, verbs, adjectives and adverbs are organized into synonym sets, each representing one underlying lexical concept. Different relations link the synonym sets.
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FrameNet
  • The Berkeley FrameNet project is creating an on-line lexical resource for English, based on frame semantics and supported by corpus evidence. The aim is to document the range of semantic and syntactic combinatory possibilities (valences) of each word in each of its senses, through computer-assisted annotation of example sentences and automatic tabulation and display of the annotation results. The major product of this work, the FrameNet lexical database, currently contains more than 8,900 lexical units (defined below), more than 6,100 of which are fully annotated, in more than 625 semantic frames, exemplified in more than 135,000 annotated sentences.
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