Metaformat

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Create a polycontext metasymbol, and overcome the fact that standardization does not generalize.

YAML 発想

The basic idea is that we can create a header ("metaheader") to bind format and schema specifications to data, and a single polycontext metasymbol (a map that specifies in which context what metasymbol is to be used) to bind it to data, and link them with global namespaces of ontologies, schemas, and user identities. For example, the polycontext metasymbol may be defined by providing a map:

Where, C1...CN are format or language contexts, and S1...SN are metasymbols, and N ∈ ℕ.

For example if we want to introduce a metasymbol in multiple languages and formats, which may be in conflict with the already-defined symbols and reserved words within the languages and formats, we can introduce a polycontext metasymbol with domain in those languages and formats, for example, XML, RDF, JSON, YAML, Python, JavaScript, Scheme , and codomain with our chosen values for S, for example __, _, *, *, #*, {/*S*/}, #|*|#, etc., and then use it for arbitrary semantic or syntactic purposes.

Universal Finger ☝️

Think of polycontext metasymbol as a universal pointer, that can point to anything, and acquires context-neutral form to go to point and ask questions about the things that monocontext metasymbols cannot. You may also think of polycontext metasymbol as an operator with domain spanning across the data specified in different languages, and thus enables us to talk about or operate on them all at once.

Metaformat

A metaformat, is a set of rules that specify, how the parsing (interpretation) rules are to be embedded within different contexts (data chunks). This is done via the polycontext metasymbol and a few standards, like URLs for referencing, and the serialization languages for schema specification within that URL. Many specific metaformats can be defined, by choosing different polycontext metasymbols, URL formats, and schema specification styles. The below example relies on what I call MFT-1 specification.

Usage Example

Suppose that we use polycontext metasymbol * in all contexts, except those where it is a reserved word, and use key-value pairs to provide formats via URLs as their values, with the format (schema) data in machine-human readable key-value specifications. Then here is how it may look as follows.

In JSON As * key, with value pointing to URL of specifications.

{"*": "https://github.com/infamily/_/wiki/example#test1", "field1": "Haiz", "field2": { "properties": { "field3": 12}}}

In XML As <?_ *=""> attribute at any level, with value pointing to URL of specification.

```

Haiz 12 ```

Specifying the value for the symbol, allows to link schema and data formats directly to the data instances, and have data self-normalizable, and ontologically automatically combine-able, and understand the above record as:

Simpler than JSON-LD

The LinkedData format, such as JSON-LD, we may have:

{ "@context": "https://json-ld.org/contexts/person.jsonld", "@id": "http://dbpedia.org/resource/John_Lennon", "name": "John Lennon", "born": "1940-10-09", "spouse": "http://dbpedia.org/resource/Cynthia_Lennon" }

We can write the same thing using the above metaformat, as:

{ '*': 'https://github.com/mindey/terms/wiki/person#foaf', 'url': 'http://dbpedia.org/resource/John_Lennon', 'fullname': 'John Lennon', 'birthdate': '1940-10-09', 'spouse': 'http://dbpedia.org/resource/Cynthia_Lennon' }

This way, we do not require the standardization of @id field, because the mapping of the field specifying it can be described in the format specification itself, provided via the polycontext metasymbol. This adds additional degree of freedom for data authors, and less burden for data analysts.

Hypothesis -- the reason of small adoption of semantic web technologies is because of the overcomplexification of metastandards. This simplifies it, deconstrains, and reduces burden to stick with any particular vocabulary.

Mindey,


(通知しない) (不必要) ログインしてください。

つまり、セマンティックWebテクノロジー-制約の厳しいシステムですか?

So, semantic web technologies -- overconstrained system?


関連プロトコル: -[DID](https://w3c-ccg.github.io/did-spec/)s -[DCAT](https://www.w3.org/TR/vocab-dcat/)s

Related protocols: - DIDs - DCATs


うーん、今テストできるパッケージがあります:

pip install metaformを試してから、

メタフォームのインポート

metaform.load({
'*': 'https://github.com/mindey/terms/wiki/person#foaf'、
 'url': 'http://dbpedia.org/resource/John_Lennon'、
 'フルネーム': 'ジョンレノン'、
 「生年月日」:「1940-10-09」、
 '配偶者': 'http://dbpedia.org/resource/Cynthia_Lennon'
})。フォーマット()

Umm, there is a package now, that can be tested with:

Try pip install metaform, and then

import metaform

metaform.load({
'*': 'https://github.com/mindey/terms/wiki/person#foaf',
 'url': 'http://dbpedia.org/resource/John_Lennon',
 'fullname': 'John Lennon',
 'birthdate': '1940-10-09',
 'spouse': 'http://dbpedia.org/resource/Cynthia_Lennon'
}).format()

私は生きている文書と呼ぶシステムに取り組んでいます。ここにスクリーンキャストへのリンクがあります:

https://github.com/samsquire/ideas

I am working on a system I call living documents. There's a link to a screencast here: https://github.com/samsquire/ideas#4-living-documents


[年代順]まず、Homebaseへようこそ!あなたがその場所を楽しくて楽しいものにしてくれることを願っています。ここにいるのは素晴らしいことです!これを見てみましょう。

[chronological], first of all, big welcome to Homebase! Hope you find the place fun and entertaining. It's amazing to have you here! Let me check this out.


//生きているドキュメントは、任意のデータ形式の挿入機能を備え、挿入されたコンテンツブロック間の統合を提供するドキュメント内CMSのアイデアです。これは、汎用のデータ構造エディターです。 //

とても良いコンセプトです。ただし、内部システムの外部に他のシステムが存在し、内部システムを介してそれらを制御したいとします。どうすればできますか?メタフォームアプローチにより、メタドライブと呼ばれるものが作成されます(ただし、このアイデアの下のプロジェクトの1つであり、「公開」状態ではありません)。コンセプトは、他のシステム用のドライバーがある場合、それらをシステムにマウントするだけでよいということです。リンクされたものやyoutubeなど、より高度なものをマウントして、それを内部データ構造にします。

実際には、これを実現するために何が必要かは、Darklangのようなものですが、オープンソースである方がよいと思います。 [Darklang](https://www.youtube.com/watch?v=NDg6Ko9gbGk)を確認してください。追伸値下げはすぐに修正します。 :)

// Living documents are the idea of intra document CMS that features the insertability of arbitrary data formats and provides integrations between inserted content blocks. It's a general purpose data structure editor. //

Very good concept. However, imagine now that there do exist other systems, outside your internal system, and you want to control them via your internal system. How can you do? The metaform approach results in creating something I call a metadrive (it's among projects under this idea, not in "published" state though). The concept is that if we have drivers for other systems, we could simply mount them to our system. Mount anything, -- e.g., linkedin, or youtube, or something more advanced, and let it become your internal data structure.

In practise, I think what's needed for this to happen, is something like Darklang, but better be open source. Check Darklang. P.S. I'll fix the markdown, very soon. :)


最後に、マークダウンが修正され、よりよく、うまくいけば、理解しやすくなります。メタフォーマットの概念は実際には非常に深いものです。私はそれにgitbookを書きました[ここ](https://book.mindey.com/metaformat/0001-metaform-philosophy/0001-metaform-philosophy.html)。より一般的に、実行する必要があるのは、理論的には、ポリコンテキストメタシンボルの等価クラスを抽出することです。実際には、多くのドライバーを、相互運用したいシステム用に作成してサポートする必要があります。

短期的には、実行する必要のある作業には、以下が含まれます。それを 'autoformat' と呼びます:-データセットを参照してください->メタフォーマットの説明を自動的に生成します-:)_

Finally, the markdown is fixed, and you can take a look better, hopefully, more understandable. The concept of metaformat is actually very deep. I had written a gitbook on it here. More generall, what needs to be done, is theoretically extract the equivalence classes for polycontext metasymbols. Practically, many drivers need to be written and supported for the systems that we want to make interoperative.

In short term, work that needs to be done includes: recognition of field names and the formats of data types and measure units, from larger set of data annotations created for datasets using metaformat. Call it 'autoformat': -see a dataset -> automatically generate metaformat description- :)