- ...http://crl.nmsu.edu/users/mahesh/onto-intro-page.html
- The 10#10K
ontology is available to interested researchers in a variety of forms
including C++ objects, Lisp-like lists, or plain ASCII
text. Interfaces for browsing the ontology and searching for concepts
are also available in several forms. Further information may be
obtained from the author or on the World Wide Web at the above address.
- ...1989).
- This
and the following subsections in Section 1 reuse parts of the
introductory text in Mahesh and Nirenburg (1995a; 1995b).
- ...languages.
- The current system prototype is an analyzer
of Spanish.
- ...Russian.
- Construction of Japanese and
Russian lexicons has begun recently. Although the ontology is already
being used for representing lexical meanings in all three languages,
the 23#23K analyzer has so far only been tested on Spanish texts.
- ...ACQUIRE
- Names of concepts in the
ontology are shown in small capitals in this report.
- ...1995b).
- In parallel, a Spanish lexicon that maps
lexemes to concepts in this ontology is also being acquired on a
massive scale.
- ...entities
- Free-standing entity is not an
actual concept in the ontology; we use the term when describing the
top-level organization of the ontology in order to distinguish between
OBJECTs and EVENTs on the one hand and PROPERTYs on the other.
- ...slot.
- See
Section 6.4 for an exception in the case of
Range specifications of LITERAL-ATTRIBUTEs.
- ...instantiated;
- They may,
however, be instantiated in a TMR by means of a reification operation
(e.g., Russell and Norvig,
1995), thereby making them stand-alone instances in the TMR. Such reification can also be triggered from the lexicon.
- ...ontology.
- ``Measuring unit'' has been used as the name of the
facet as well as the concept. The facet should perhaps be renamed as
``Unit.'' However, this facet is not used much in the ontology.
- ...relation.
- There are other reasons for adding redundant
links. A slot must have a filler. In fact, our acquisition tool does
not retain a slot that has no fillers. As such, we are sometimes
forced to introduce a redundant filler just to retain the slot. We
would want to retain a slot to fulfill lexical requirements for
indicating to the analyzer that it should look for a filler for this
slot whenever the concept is instantiated.
- ...graph.
- See any
textbook on artificial intelligence for an explanation of And-Or
graphs. For example, see Rich and Knight (1991).
- ...``medical-serve-back-end,''
- It may
also be noted here that such long names may violate the kind of naming
guidelines outlined later in this document.
- ...concept
- We use the term complex concept because we
might have a need for complex objects at some point in addition to complex
events (and be able to use the same representation for both). However,
only the representation of complex events is discussed here.
- ...place.
- Of course, it is possible to introduce a
``number-of-organizations'' ATTRIBUTE and fill (> 2) in it,
but that is a hack and is redundant with the way we represent
sets. Since we employ set notations in our meaning representations, we
should be able to use cardinalities of sets to represent the minimum-2 requirement for MERGE. Using sets implies using more than one frame to represent the
MERGE concept.
- ...concept.
- The
issue of generic instances is a separate one; it deals with
instances of concepts, simple or complex, such as ``the Big Mac,'' that
do not refer to any particular entity in the world.
- ...language;
- Although, for practical reasons, one
might want to introduce phrasal lexical entries such as compound nouns
that map directly to many concepts in the ontology.
- ...lexicon.
- This ratio is expected to go up to about 6 once the
lexicon is populated by entries generated automatically by means of a
derivational morphology engine currently under development.
- ...(1995)
- Some of these principles are very well
known and, in fact, date back to Aristotle.
- ...principle.
- Surprisingly,
Bouaud et. al (1995) argue that there is no need for multiple
inheritance and that ontologies should be simple trees. We find this
vastly inadequate for our requirements and those of most knowledge
representation systems.
- ...text.
- CASE-ROLEs are also PROPERTYs
in the ontology; the issue here is the need for PROPERTYs other than
CASE-ROLEs.
- ...further.
- This section is
based on a summary of a debate on this topic between Victor Raskin,
Sergei Nirenburg, and the author. This subsection is adapted from a
summary written by Victor Raskin.
- ...hierarchies.
- We may need a formalism to relate
one hierarchy to the other. Such a formalism in the form of ``ontological
generative rules'' is currently in the works.
- ...literals.
- Computational mechanisms for dealing with such
modifications of literal values are yet to be worked out in the 88#88K
system.
- ...concepts.
- The special symbol *unknown* used in lexicons
and TMRs provides some power to
express the existence of an unknown filler in a slot.
- ...ontology.
- Parts of this section are
based on work presented by the author and Sergei Nirenburg
at the 1995 meeting of the Society for Text and Discourse in
Albuquerque, NM.
- ...tool
- Developed
by Ralf Brown at the Center for Machine Translation,
Carnegie Mellon University.
- ...ontology.
- The analysis of ``swim'' and ``float'' shown above was an
exception; we were asked to analyze these meanings for presentation
and discussion at the Workshop organized by the International Federation of Information
Processing, Special Interest Group on Lexical Semantics, April
28-29, 1995, Philadelphia, PA.
- ...PROPERTYs.
- Our
acquisition tools help us by complaining if a concept by the same name
already exists.
- ...peaches).
- One of our quality control programs finds
common substrings across concept names and thereby helps us find
uses of the same word in multiple senses.
- ...status.
- The ontology in question (Carlson and Nirenburg,
1990) was much smaller than the current 114#114K ontology. It was
constructed for a smaller MT project using tools that were not as
sophisticated as our current set of tools. More than all, this
ontology was modified more than once by different people to adopt to
new domains such as computer repair and restaurants. As such, it is
not surprising that it had to be cleaned up before thousands of new
concepts from our domain could be added to it.
Kavi Mahesh
Tue Aug 13 09:38:42 MDT 1996