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The Standard Upper Ontology Initiative

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Title: The Standard Upper Ontology Initiative


1
The Standard Upper Ontology Initiative
  • Matthew West

2
Introduction
  • What is a formal ontology?
  • Who is organising and participating in this
    initiative?
  • What progress has been made?
  • Where does it look like going?

3
What is a Formal Ontology?
  • Dictionary
  • List of concepts with natural language
    definitions
  • Taxonomy
  • Concepts structured by specialisation graphs and
    natural language definitions
  • Data model/ Description Logic ontology
  • Concepts structured by specialisation graphs and
    with formal relationships and natural language
    definitions
  • Formal ontology
  • As data model, but with arbitrary constraints and
    may include instances. Usually in First Order
    Logic.

4
Who is Organising and Participating?
  • IEEE P1600.1 Standard Upper Ontology Working
    Group
  • Some 70-80 participants from
  • Artificial Intelligence
  • Linguistics
  • SC4
  • Electronic working only

5
Scope
  • This standard will specify an upper ontology that
    will enable computers to utilize it for
    applications such as data interoperability,
    information search and retrieval, automated
    inferencing, and natural language processing. An
    ontology is similar to a dictionary or glossary,
    but with greater detail and structure that
    enables computers to process its content. An
    ontology consists of a set of concepts, axioms,
    and relationships that describe a domain of
    interest. An upper ontology is limited to
    concepts that are meta, generic, abstract and
    philosophical, and therefore are general enough
    to address (at a high level) a broad range of
    domain areas. Concepts specific to given domains
    will not be included however, this standard will
    provide a structure and a set of general concepts
    upon which domain ontologies (e.g. medical,
    financial, engineering, etc.) could be
    constructed.

6
Purpose
  • A. AUTOMATED REASONING The standard will be
    suitable for automated logical inference to
    support knowledge-based reasoning applications.
  • B. INTER-OPERABILITY The standard will provide
    a basis for achieving Inter-Operability among
    various software and database applications.
  • 1) Application developers can define new data
    elements in terms of a common ontology, and
    thereby gain some degree of interoperability with
    other conformant systems.
  • 2) Applications based on domain-specific
    ontologies that are compliant with this standard
    will be able to interoperate (to some degree) by
    virtue of the shared common terms and
    definitions.
  • 3) The SUO will play the role of a neutral
    interchange format whereby owners of existing
    applications will be able to map existing data
    elements just once to a common ontology. This
    provides a degree of interoperability with other
    applications whose representations conform to
    SUO. This entails the SUO being able to be mapped
    to more restricted forms such as XML, database
    schema, or object oriented schema.

7
What progress has been made?
  • Established December 2000
  • Three pieces of work recognised
  • IFF Information Flow Framework
  • SUMO Suggested Merged Upper Ontology
  • OpenCYC

8
Information Flow Framework
  • Based on Category Theory (theory of
    functions/mapping)
  • Provides a basis for mapping and merging
    ontologies in a lattice of theories
  • Good progress in developing the theory seems to
    be being made, but it is still somewhat
    impenetrable.

9
SUMO
  • Written in KIF
  • Collection of work from various sources merged
    together
  • Doubts about a consistent foundation
  • Limited support

10
OpenCYC
  • A subset of the CYC ontology made publicly
    available
  • Similar to but different from SUMO
  • Support unknown

11
Some key issues
  • Single Ontology vs multiple ontology
  • Collection of theories
  • Single canonical tightly integrated
  • Lattice of Theories
  • Foundations
  • Foundations often indeterminate in existing
    ontologies
  • 3D and/or 4D

12
Future directions
  • I hope
  • The IFF work will progress supporting the merging
    and mapping of different ontologies
  • SUMO and OpenCYC will gain a better principled
    foundation and will be merged into a 3D ontology
  • ISO15926 is adopted as a basis for a 4D ontology
    and is developed by adding axioms and mapped to
    the 3D ontology
  • But this will take years not months
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