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Lightweight Data Markup Language
     and Information Transfer



          Sayandeep Khan
         Drakoon Aerospace



            Invention Report
            Public Release
              March 13 2012
Containts
→The notion of Language
 ⬔ What is missing

→A language with an inter-sentence relation
 ⬔ The notion of Sprache
  ⬔ The statement relations
  ⬔ Combinatorial Description

→Application of Sprache: the Design of LDML
 ⬔ Basics
 ⬔ Translation : Description guided action
 ⬔ Application : Machine guided investigation
The Notion of Language
Alphabet: A set of charachter (basic symbols that can not
be decomposed), written ∑

String: Any finite length sequence of elements of ∑. The
total sets of strings is written ∑*

Grammar: A quadruple (V, T, G, S), where S is a set of
start symbols, and T is a set of what is called terminal
symbols. V is called total vocabulary. S,T ⊂ V. G is a set
of rules, that maps
σ → τ where both σ and τ ∊ (V∪T)*, and τ≠ϕ

Language: The set {w ∊T : S generates w} is a language
generated by the grammar
What is missing?

⬔ The language is basically a set of terminal symbols.

⬔ The generation of the terminal symbols are governed
by the grammar

⬔ However no strict relation between each terminal
statement is defined.

⬔ In science, every two statement is Strictly related: with
help of the one, the other can be deduced.
Example
⬔ Statements in english language (Each terminal statement):

      » Iron is heavier than water
      » Iron sinks in water
      » Water is denser than air

with zero assitance from physics (which defines terms like
„sinking“ and „denser“, and assigns logical relations), these
sentences can not be linked together.

⬔ Using knowledge of physics, the axiom of transitivity may
be applied

   Iron sinks in water AND water is denser than air
⇒ Iron sinks in water AND water sinks in air (From definition)
⇒ Iron sinks in Air. (Transitivity)
Remarks

⬔ Notice that the English language alone can not deduce
the two steps as shown in the example.

⬔ Hence the english language alone can not relate the
statements in an order relation like
{statement one, statement two} > {statement three}

⬔ Hence, we propose a language that has such an order
relation defined onto it. Hence, we have {language, order
relation}. We call this tuple a Sprache. Written as
§(G,k) :={L(G), k} where k is the set of order relations.
Notion of Sprache

⬔ The sprache is built upon a Language, with an
introduced order relation.

⬔ Asssume the following applies:
   ∀ α,β ∊ L(G), ∃ ≻ | A ≻ β , α ∊ A, α ⊁ ϕ

⬔ Define:
  k : ⋃≻

⬔ Then the sprache is defined as:
    §(G) : {L(G), k}
The statement relations
⬔ α and β are commutatively related: Written α,β

⬔ α and β are non commutatively related: Written α > β

⬔ α is defined as β : Written α : β

⬔ α is equivalent as β : Written α = β

⬔ α is nagetive to β : Written α ~ β

⬔ α maps to β : Written α # β

⬔ α and β related via unknown : Written α ?
The statement relations



⬔ Immediately, it is clear:

    =∊,
    ~∊,
    :∊>
    #∊>
Application of Sprache

⬔ Imagine, we want to desccribe the properties of an
object O . Imagine, properties A, and B are conjectured to
be intrinsic to O, but not observed. We write: O > (A,B)

⬔ Imagine, of object O , properties C, and D are
observed . We write: O > (C,D)

⬔ Imagine of an object O , properties E is measured to
be F. We write: O>(E:F)

⬔ It is clear that the notion of Sprache, with a finite set
of relations, can relate the properties of O, generating a
complete scientific description.
Conclusion

⬔ Using the notion of Sprache, the description of data
related to anything can be reduced to a strictly related
set of statements. Missing relations indicate lack of
knowledge, worth investigating.

⬔ The notion of sprache can highlight where
knowledge is missing, so a scientist examining the
object can immediately focus on missing knowledge

⬔ Next : the combinatorial model of application of
sprache, a Sprache Prototype developed by BDA, the
LDML, the LDML grammar, and applications of LDML

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Ldml - public

  • 1. Lightweight Data Markup Language and Information Transfer Sayandeep Khan Drakoon Aerospace Invention Report Public Release March 13 2012
  • 2. Containts →The notion of Language ⬔ What is missing →A language with an inter-sentence relation ⬔ The notion of Sprache ⬔ The statement relations ⬔ Combinatorial Description →Application of Sprache: the Design of LDML ⬔ Basics ⬔ Translation : Description guided action ⬔ Application : Machine guided investigation
  • 3. The Notion of Language Alphabet: A set of charachter (basic symbols that can not be decomposed), written ∑ String: Any finite length sequence of elements of ∑. The total sets of strings is written ∑* Grammar: A quadruple (V, T, G, S), where S is a set of start symbols, and T is a set of what is called terminal symbols. V is called total vocabulary. S,T ⊂ V. G is a set of rules, that maps σ → τ where both σ and τ ∊ (V∪T)*, and τ≠ϕ Language: The set {w ∊T : S generates w} is a language generated by the grammar
  • 4. What is missing? ⬔ The language is basically a set of terminal symbols. ⬔ The generation of the terminal symbols are governed by the grammar ⬔ However no strict relation between each terminal statement is defined. ⬔ In science, every two statement is Strictly related: with help of the one, the other can be deduced.
  • 5. Example ⬔ Statements in english language (Each terminal statement): » Iron is heavier than water » Iron sinks in water » Water is denser than air with zero assitance from physics (which defines terms like „sinking“ and „denser“, and assigns logical relations), these sentences can not be linked together. ⬔ Using knowledge of physics, the axiom of transitivity may be applied Iron sinks in water AND water is denser than air ⇒ Iron sinks in water AND water sinks in air (From definition) ⇒ Iron sinks in Air. (Transitivity)
  • 6. Remarks ⬔ Notice that the English language alone can not deduce the two steps as shown in the example. ⬔ Hence the english language alone can not relate the statements in an order relation like {statement one, statement two} > {statement three} ⬔ Hence, we propose a language that has such an order relation defined onto it. Hence, we have {language, order relation}. We call this tuple a Sprache. Written as §(G,k) :={L(G), k} where k is the set of order relations.
  • 7. Notion of Sprache ⬔ The sprache is built upon a Language, with an introduced order relation. ⬔ Asssume the following applies: ∀ α,β ∊ L(G), ∃ ≻ | A ≻ β , α ∊ A, α ⊁ ϕ ⬔ Define: k : ⋃≻ ⬔ Then the sprache is defined as: §(G) : {L(G), k}
  • 8. The statement relations ⬔ α and β are commutatively related: Written α,β ⬔ α and β are non commutatively related: Written α > β ⬔ α is defined as β : Written α : β ⬔ α is equivalent as β : Written α = β ⬔ α is nagetive to β : Written α ~ β ⬔ α maps to β : Written α # β ⬔ α and β related via unknown : Written α ?
  • 9. The statement relations ⬔ Immediately, it is clear: =∊, ~∊, :∊> #∊>
  • 10. Application of Sprache ⬔ Imagine, we want to desccribe the properties of an object O . Imagine, properties A, and B are conjectured to be intrinsic to O, but not observed. We write: O > (A,B) ⬔ Imagine, of object O , properties C, and D are observed . We write: O > (C,D) ⬔ Imagine of an object O , properties E is measured to be F. We write: O>(E:F) ⬔ It is clear that the notion of Sprache, with a finite set of relations, can relate the properties of O, generating a complete scientific description.
  • 11. Conclusion ⬔ Using the notion of Sprache, the description of data related to anything can be reduced to a strictly related set of statements. Missing relations indicate lack of knowledge, worth investigating. ⬔ The notion of sprache can highlight where knowledge is missing, so a scientist examining the object can immediately focus on missing knowledge ⬔ Next : the combinatorial model of application of sprache, a Sprache Prototype developed by BDA, the LDML, the LDML grammar, and applications of LDML