Ontologies What, why and how - PowerPoint PPT Presentation

1 / 19
About This Presentation
Title:

Ontologies What, why and how

Description:

specific artifact designed with the purpose of expressing the intended meaning of a vocabulary ... KBs often rely on natural language to convey intended meaning ... – PowerPoint PPT presentation

Number of Views:48
Avg rating:3.0/5.0
Slides: 20
Provided by: smi790
Category:

less

Transcript and Presenter's Notes

Title: Ontologies What, why and how


1
Ontologies - What, why and how?
  • Cartic Ramakrishnan
  • LSDIS lab
  • University of Georgia

2
What is Ontology
  • The study of being qua being the study of
    possible
  • The study of the nature of possible ontology as
    the theory of distinctions among possibilia
  • The study of the most general characteristics
    that anything must have in order to count as a
    (certain kind of) being or entity.

3
Definitions
  • Ontology (capital o)
  • a philosophical discipline.
  • An ontology (lowercase o)
  • specific artifact designed with the purpose of
    expressing the intended meaning of a vocabulary

4
What is an ontology?
  • A shared vocabulary
  • Plus A specification (actually, a
    characterization) of the intended meaning of that
    vocabulary
  • ...i.e., an ontology accounts for the commitment
    of a language to a certain conceptualization
  • An ontology is a specification of a
    conceptualization Gruber 95

5
Models and Conceptualizations
6
Capturing Intended Meaning
  • First order logic is ontologically neutral
  • Logical KBs often rely on natural language to
    convey intended meaning

7
Intended Models
An ontology consisting of just a vocabulary is
of little use - Unintended interpretations need
to be excluded
8
What is a conceptualization?
Conceptualization of scene 1 lta, b, c, d, e ,
on, above, clear, table gt
9
What is a conceptualization?
The same conceptualization?
10
What is a conceptualization
  • Conceptualization the formal structure of
    reality as perceived and organized by an agent,
    independently of
  • the vocabulary used (i.e., the language used)
  • the actual occurence of a specific situation
  • Different situations involving the same objects,
    described by different vocabularies, may share
    the same conceptualization.

11
Relations vs. Conceptual Relations
(Montague-style semantics)
ordinary relations are defined on a domain
D conceptual relations are defined on a domain
space ltD, Wgt
12
Ontologies constrain the intended meaning
Conceptualization C
Commitment KltC,Igt
Language L
Models M(L)
13
Levels of Ontological Depth(SSK would disagree)
  • Lexicon
  • Vocabulary with NL definitions
  • Simple Taxonomy
  • Thesaurus
  • Taxonomy plus related-terms
  • Relational Model (NOT DB)
  • Unconstrained use of arbitrary relations
  • Fully Axiomatized Theory

14
ontologies - ontology
  • Ontology
  • study of being as a branch of philosophy
  • Ontologies
  • result of the analysis of a particular domain of
    interest (possibly as broad as the universe)
  • instantiation of a concrete ontological model of
    that domain

15
Ontologies-ontology
  • Ontologies are to a large extent in principle
    language independent
  • Varying scope and content of domain ontologies
  • upper-level ontologies (Cyc)
  • application ontologies (??)
  • task ontologies (??)

16
Definitions - Yes, Again!!
  • Here are three definitions of domain ontologies
  • (i) "System of categories accounting for a
    particular vision of the world." Guarino
  • (ii) "Specification of a conceptualization."
    Gruber
  • (iii) "Concise and unambiguous description of
    principle relevant entities with their potential,
    valid relations to each other." guess who?

17
What an Ontology is NOT!!!
  • not a collection of facts arising from a specific
    situation
  • not a model of an application domain
  • not a database schema
  • not a knowledge base
  • not a taxonomy
  • not a vocabulary or dictionary
  • not a semantic net

18
Why ontologies?
  • Data integration
  • Semantic integration of n databases
  • without the great o would require nn
    integration attempts
  • with the great o would require n attempts
  • Data annotation
  • full-fledged ontology not required
  • since main purpose is fixed unique reference
    point in the for of controlled vocabulary

19
ENTER GO!!!
  • Not ontology but vocabulary
  • ISA vs. instance-of
  • PART-OF vs made of, belongsto
  • 80 concepts lack explicit defn.
  • 700 concepts are orphans
  • no clear design principle
  • no IC for consistency
  • where do new concepts go?
  • No grammar rules for to combine concept
  • Not The Gene Ontology but 3

20
References
  • Guarino, N. (1998). Some Ontological Principles
    for Designing Upper Level Lexical Resources. In
    Proceedings of First International Conference on
    Language Resources and Evaluation. Granada,
    Spain.
  • Gruber, T. R. (1993). Knowledge Acquisition 5,
    199-220.
  • Schulze-Kremer, S. (1998) Ontologies for
    molecular biology
Write a Comment
User Comments (0)
About PowerShow.com