On the Future of the NeuroBehavior Ontology and Its Relation to the Mental Functioning Ontology
ontology on ergonomic_2
Transcript of ontology on ergonomic_2
-
8/3/2019 ontology on ergonomic_2
1/1
reality: for Aristotle and many others, primarily objects and
processes. In the empirical 19th century, metaphysics was
perceived as experimentally unverifiable and, therefore, irre-
sponsible, and parts of it may have been so. There has been
no getting away, however, from the necessity of understand-
ing the basic categories underlying both human thinking and
the spectacular successes of empirical sciences. In the 20th
century, the concern about foundational issues of physicsand other hard sciences has become common and acute. The
term ontologywas used for a while as a politesubstitute for
metaphysics, but towards the end of the century, the later term
regained its respectability. Accordingly, ontology started
being used more correctly as the actual result of metaphysical
research, a specific system of basic concepts.
The major issue of metaphysics is the status of prop-
erties. The realists recognize the existence of both indi-
viduals, such as houses or cars, which are spatio-temporal
entities, and of their shared properties, such as costliness
or redness, which are not spatio-temporal but rather
abstract. Their opponents, the naturalists, recognize onlyindividuals. Both camps, existing in a large number of
variations, have a difficult philosophical issue to deal
with: for the realists, the different status of properties; for
the nominalists, the existence of those properties. For a
specific ontology, the matter is only important in one
sense, namely, whether the ontology is to contain proper-
ties or not, and the nature of any reasonable application
usually imposes the realist solution.
2.2.2 Formal ontologyFormal ontology (see Guarino 1995; 1998) was developed
late in the 20th century as a cross of mathematical disci-
plines of mereology, which studies the relations betweenparts and wholes, theory of dependence, and topology. But
it was originally Edmund Husserl, earlier in the century,
who saw a need to establish formal ontology as the theory
of things parallel to logic, the theory of truths.
The agenda of formal ontology typically includes
explorations into notions of time and space, modality,
especially the deontic (imperative, must-do) phenomena,
taxonomy of artifacts, and types of inheritance. A specific
ontology, in its implementation, has to take a position on
each of those and other issues of formal ontology, so the
awareness of these issues is essential for the developers.
2.2.3 Ontologies as engineering artifactsThe practical use of an ontology involves constructed reality
(see Gruber 1995). The MikroKosmos ontology, containing
over 7,000 actual and many more virtual concepts (i.e.
concepts derivable from the actual concepts with the help of
well-defined rules), was created by a team of computer
scientists and linguists over almost a decade at considerable
cost (see Nirenburg and Raskin 2004). After the original
time- and effort-consuming basic research, which estab-
lished the top-level concepts and the format of each type of
entry, a major effort was devoted to the development of
semi-automatic tools of acquisition enabling the participation
in the work, at its simplest level, of rank-and-file enterers
with a minimal training. This was achieved by an inventive
use of easy-to-understand templates for several basic types
of concepts. The introduction of the tools made the acqui-
sition of numerous concepts by minimally trained workers
very speedy and inexpensive.
The resulting ontology meets and exceeds the industrysstandards of clarity, coherence, and extendibility, and it
stands to reason to conclude that any ontology of the future,
comparable to this particular one in size and depth, will have
to be developed more or less along the same lines: a combi-
nation of the tiered approach to acquisition, the use of semi-
automatic tools, and the emphasis on cheap labor whenever
and wherever practical.
2.3 ONTOLOGY AND NATURAL LANGUAGE
It is in the development of MT and other natural language
processing (NLP) systems that the ontological approachproved to be particularly successful (see Nirenburg and
Raskin 2004). Early MT was of the transfer type: a system
was designed on the basis of a minimally required rules of
transfer from words of the source language into words of the
target language. While the simplest transfer, word for word,
does not work in translation, inventive rules were created to
overcome this difficulty in many cases. The resulting trans-
lation was, however, pretty rough and not very accurate,
making it hard to use without expensive human post-editing.
The alternative to transfer MT was the interlingua
approach. Interlingua was a formal representation of text.
The input text was analyzed and represented as an inter-
lingua text and the latter was used to generate an equivalent
text in the target language. An ontology was introduced as
a rich and sophisticated form of interlingua in the late
1980s and won a dominant position in the interlingua
approach in the 1990s.
The MikroKosmos ontology is the foundation of the
whole knowledge- and meaning-based approach to lan-
guage processing. As a universal language-independent
resource, the ontology is the metalanguage for the lexicon:
each lexical entry in a natural language is defined in onto-
logical terms. In the simplest case, the meaning of a word
corresponds exactly to an ontological concept; in this case,
the entry contains a simple pointer. More often, the match isnot exact and an additional constraint, formulated in terms
of ontological properties, must be added to the entry. Yet in
other cases, the entry must contain a reference not to a
concept but rather to a certain slot and/or filler in its frame.
Even more importantly, the ontology provides a
conceptual foundation and world grounding for whole texts.
Working with the lexical entries making up a sentence and
using the pertinent syntactic information for the natural lan-
guage being processed, the analyzer produces ontology-based
formula, the text meaning representation, for the sentence.
158 Ontology