The mapping into description logic looks to make sense...

On Thu, Apr 6, 2017 at 6:14 PM, 'Adam Gwizdala' via opencog
<[email protected]> wrote:
> this looks to me exactly like a definition for a description logic? except
> with some constraints on how you define the classes, properties and
> individuals so that they meet only the conditions of Word Grammar?
>
> eg.
>
> --subordinate trans. looks like: 'x hasParent y' paired with respective
> inversion 'y isParentOf x'
>
> --sister trans. looks like a subproperty chain: 'x hasParent y isParentOf z'
>
> --proxy links look like another instance of a property and again a
> subproperty chain eg. 'x hasProxyLinkType1 y hasParent some z'
>
> --the head would a property defined to be the union of valid transitive
> subproperty chains (including the proxy link rule) to reach the root node?
>
> Your problem where words may be parents of each other, is a cyclic ontology
> feature, which messes up uniform interpolation eg. forgetting  eg. can't
> represent it finitely, eg. non-terminating. Your operation solution looks
> similar to the fixpoint operators in the literature, but I'm getting out of
> my depth there
>
> So to my reckoning, you definition matches:
>
> SHIQ description logic where...
> ontology model where roles/individuals are words in the phrase(s)
> you have two properties: landmarks, proxy. where transitivity/inversions are
> allowed in certain cases
> you dont use classes/subclasses because you don't need them
>
> As for your weighted links... they don't fit anywhere :-)
>
>
> On Wednesday, 5 April 2017 23:26:20 UTC+1, Ben Goertzel wrote:
>>
>> Some quasi-mathematical-linguistic musings...
>>
>> Reviewing a bunch of familiar stuff in my mind, I’m trying to take an
>> algebraic view of Word Grammar….   This is presumably equivalent to
>> pregroup grammar under appropriate restrictions but it’s maybe a more
>> linguistics-ish way to look at it…
>>
>> Consider a set of words interlinked by ordered dependency links (so
>> each link has a head corresponding to the parent, and a tail
>> corresponding to the child).  For reasons including those to be
>> described below, it is useful to consider these dependency links as
>> typed.
>>
>> Word Grammar tells us how, given such a set of words and links, to
>> construct a set of additional (ordered) “landmark links” between the
>> words.
>>
>> The rules thereof are as follows…
>>
>> The parent is the “landmark” of the child.
>>
>> In some cases a word may have more than one parent. In this case, the
>> rule is that the landmark is the one that is superordinate to all the
>> other parents. In the rare case that two words are each others’
>> parents, then either may serve as the landmark.
>>
>> A Before landmark is one where the child is before the parent; an
>> After landmark is one where the child is after the parent.
>>
>> Rules of “landmark transitivity” are:
>>
>> * Subordinate transitivity: If A is a Before/After landmark for B, and
>> B is some kind of landmark for C, then A is a Before/After landmark
>> for C
>>
>> * Sister transitivity: If A is a landmark for B, and A is also a
>> landmark for C, then B is also a landmark for C
>>
>> * Proxy links: For certain special types T of dependency link, if A
>> and B are joined by a link of type T, then if A is a landmark for C, B
>> is also a landmark for C
>>
>> The “head” of a set of words is a root of the digraph of landmark
>> links in that set of words
>>
>> Restricting attention momentarily to the case of phrases with only one
>> head, one way to look at this is: The landmark transitivity rules tell
>> what happens when we carry out operations such as
>>
>> P1 +_T P2
>>
>> (putting a dependency link between the head of P1 and the head of P2,
>> with P1 to the left and being at the child end of the link), or
>>
>> P1 +_T’ P2
>>
>> (putting a dependency link between the head of P1 and the head of P2,
>> with P1 to the left and being at the parent end of the link)
>>
>> noting that this operation is not commutative, and also that the
>> dependency link may have a type T which may be important (e.g. due to
>> the existence of proxy links).
>>
>> These operations at on the space of graphs whose nodes are words and
>> whose linked are either typed, ordered dependency links, or ordered
>> landmark links; and for which the landmark links are consistent
>> according to the rules laid out above.
>>
>> The landmark transitivity rules tell where the landmark links go in
>> the combined structures P1 +_T P2 and P1 +_T’ P2, in a way that will
>> maintain the consistency of the rules regarding landmarks
>>
>> It is not hard to see that, according to the rules of landmark
>> transitivity, the free algebra formed by the multiple operations +_T,
>> +_T’ is distributive, associative, and noncommutative
>>
>> There is one hole in the above; we haven’t dealt with cases where a
>> phrase has more than one head, because two words are each others’
>> parents.  The easiest way to look at this formally seems to be to
>> introduce operations +_Tij, where
>>
>> P1 +_Tij P2
>>
>> builds a dependency link of type T from the i’th head of P1 to the
>> j’th head of P2.  We would also have operations of the form
>>
>> P1 +_Tij’ P2
>>
>> We can then see that  the free algebra formed by the multiple
>> operations +_T, +_T’, +_Tij, +_T’ij is distributive, associative, and
>> noncommutative...
>>
>> A next step would be to make all these links (represented here by +
>> operators) probabilistically weighted.   But I'm out of time just now
>> so that will be saved for later ;) ...
>>
>> ben
>>
>>
>>
>> --
>> Ben Goertzel, PhD
>> http://goertzel.org
>>
>> "I am God! I am nothing, I'm play, I am freedom, I am life. I am the
>> boundary, I am the peak." -- Alexander Scriabin
>
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-- 
Ben Goertzel, PhD
http://goertzel.org

"I am God! I am nothing, I'm play, I am freedom, I am life. I am the
boundary, I am the peak." -- Alexander Scriabin

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