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[ontolog-forum] What I learned last week (I think)

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From: Patrick Durusau <patrick@xxxxxxxxxxx>
Date: Sun, 06 May 2007 10:09:37 -0400
Message-id: <463DE1A1.3050208@xxxxxxxxxxx>
Greetings!    (01)

I think I have learned a lot last week on the ontolog list. I would 
summarize what I learned as follows:    (02)

1. To say that identification A and identification B are of the same 
subject is logical inferencing.    (03)

2. That generally speaking, use of a single common ontology is viewed as 
starting premise for logical inferencing for error-intolerant 
applications. (Which stands to reason (sorry!) since logical inferencing 
with the degree of precision required makes it necessary to know all the 
inferences that can be drawn.)    (04)

3. That automated logical inferencing can be used for indexical purposes 
to assist human users in assembling different descriptions of the same 
subjects.    (05)

4. Topic maps can be described as a sub-part of the larger framework of 
logic that focus on indexical issues, which of necessity are concerned 
with issues of identity and the inferencing necessary to mapping all the 
identifications available together (whether actually co-existing in a 
single location or not is an implementation issue).    (06)

5. Topic maps are not required to use a single common ontology (for any 
given topic map) since the indexical purpose of a topic map is the 
gathering of diverse identifications of the same subject, which may have 
been made using different ontologies (whether expressed or not). That is 
to say that recording the different identifications of a subject as 
identifications of the same subject is a goal in and of itself, whether 
or not further efforts are made to create a resource that can be used 
for inferencing for error-intolerant applications.    (07)

6. Topic maps can use both automated logical inferencing as well as 
users simply declaring identification A represents the same subject as 
identification B, which is logical inferencing but not represented in 
formal logic.    (08)

Whether user behavior in such identifications can be harvested, cf. the 
CALO project, such that their mapping behavior can be adopted by an 
automated system is an interesting question. I suspect the answer is of 
a "yes, but" nature. Accuracy will depend upon the range of the domain 
to which the mapping is applied. Following my mapping behavior for 
biblical texts would probably be useful, but if the system tried to 
extend beyond that domain, probably less so. In that regard, it would be 
interested to see if the inaccuracy beyond that domain by some automated 
means would match my own inaccuracy beyond that domain.    (09)

Some of this I knew already but would not have expressed in it quite 
these terms. Other items, such as the realization that when used by some 
posters, inferencing should be taken to mean inferencing for 
error-intolerant applications, which is quite different in degree, from 
inferencing for the purpose of collecting diverse identifications of the 
same subject, was new to me. Both are "inferencing" but the operational 
requirements for one are not the same as the other.    (010)

Not a bad week all in all.    (011)

Hope everyone is at the start of a great week!    (012)

Patrick    (013)

Patrick Durusau
Chair, V1 - Text Processing: Office and Publishing Systems Interface
Co-Editor, ISO 13250, Topic Maps -- Reference Model
Member, Text Encoding Initiative Board of Directors, 2003-2005    (014)

Topic Maps: Human, not artificial, intelligence at work!     (015)

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