[semantics-public] RDF embeddings for X3D

[John Carlson]

Indeed, RDF2Vec might be something that people here are interested in, who
are interested in data mining RDF documents (and Vince's embeddings).

RDF2Vec: RDF Graph Embeddings for Data Mining | SpringerLink
<https://link.springer.com/chapter/10.1007/978-3-319-46523-4_30>

I have not read or downloaded the article.

On Wed, May 25, 2022 at 9:25 PM John Carlson <yottzumm at gmail.com> wrote:

> Vince, embedding is a technical term from machine learning for taking
> large amounts of text (word2vec) or objects (Amazon? Sagemaker—object2vec)
> and converting word or object adjacency (in spatial or temporal terms) into
> vectors.  This allows words (or things that otherwise aren’t reduced to
> scalar or matrix values) to be used as vectors instead of using symbolic
> manipulation.   One can even do vector arithmetic on words, and it works!
> Obviously words farther away from a central word should probably have a
> lower weight while embedding.
>
> There are many …2vec projects.
>
> For example one might use the 6 words around a word throughout a document
> to predict what word comes next after completing embedding.
>
> One needs a vector space to compute gradient descent in neural network
> backpropagation, since gradient descent cannot be computed on written
> words.  I believe that the embedding provides such a space, too.
>
> In other words, embedding means converting data into vectors so things
> like TensorFlow will work!
>
> The old story used to be that a book can be converted into a vector of a
> very large space.   Embedding is taking that huge space and reduces the
> dimensions, and increases the number of vectors.
>
> Hope this helps, and will eventually be another tool for 3D practitioners.
>
> John
>
> On Wed, May 25, 2022 at 8:52 PM vmarchetti at kshell.com <
> vmarchetti at kshell.com> wrote:
>
>> I do not know what capabilities Word2vec or SageMaker offer.
>>
>> I have been working on embedding XMP metadata packets in X3D Metadata
>> nodes. XMP uses a subset of RDF. The conversions from XMP XML packets to
>> and from X3D Metadata (XML Encoding) are implemented in XSLT stylesheet in
>> the github project https://github.com/vincentmarchetti/x3d-xslt-tools .
>>
>> This work is in support of the ISO JWG-16 STEP Geometry Services project,
>> which has adopted XMP as a schema for metadata to describe CAD web
>> services. It may also be useful in embedding XMP in general in X3D .
>>
>> Vince Marchetti
>>
>> > On May 25, 2022, at 6:18 PM, John Carlson <yottzumm at gmail.com> wrote:
>> >
>> > Does anyone have RDF embeddings for X3D, like word embeddings for
>> Word2vec or object embeddings for SageMaker?
>> >
>> > Thanks for info!
>> >
>> > John
>> > --
>> > semantics-public mailing list
>> > semantics-public at web3d.org
>> > http://web3d.org/mailman/listinfo/semantics-public_web3d.org
>>
>>
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