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@Gowtham Cp, you said "....the text becomes a document when it's organized with structure, like headings and paragraphs. " my concern is the difference between a plain document and a formatted document, for example, XML and PDF.
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Hi, great question!
Files start as bitstreams, which are just sequences of 0s and 1s. To recognize this bitstream as text, it needs to be decoded using a standard like ASCII or UTF-8. Once decoded, the text becomes a document when it's organized with structure, like headings and paragraphs. So, bitstreams are raw data, text is decoded from that data, and documents are structured, formatted text.
Hope it helps!
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Let me propose an answer:
- To recognize bitstream as the text an encoding must be associated by default, directly or indirectly.
- The next requirement is that a bitstream must be associated with comprehensible syntax rules.
- Finally, semantics rules should be associated with the bitstream, which allows the assigning of meaning to bitstreams.
Shortly, text-based language has to be defined. A domain-specific language (DSL) is a text-based language dedicated to expressing concepts and data within a specific area.
Hence, to recognize bitstream as a document it must be compliant with selected domain-specific language.
To learn more check out the article titled External Streaming Data - Bitstream Format available at <https://www.c-sharpcorner.com/article/external-streaming-data-bitstream-format/>.
Let me know what you think.
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@Gowtham Cp and @Aman Gupta - thanks for the contribution. However, I have doubts about the XML and JSON texts. Are they documents?
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Hi Mariusz,
To recognize a bitstream as text and then as a document, certain conditions and criteria must be met. Here’s how these conditions break down:
1. Recognizing Bitstream as Text
- Character Encoding: The bitstream must adhere to a known character encoding standard (e.g., ASCII, UTF-8, UTF-16). This encoding maps the binary data to specific characters.
- Readable Characters: The bitstream should represent a sequence of characters that can be interpreted as human-readable text according to the encoding standard.
- Absence of Non-Textual Data: The bitstream should lack significant binary data that doesn't map to readable characters (e.g., image or sound data) that could interfere with text interpretation.
2. Recognizing Text as a Document
- Structured Format: The text should follow a recognizable and meaningful structure (e.g., paragraphs, headings, lists) that is typically associated with documents. This could be plain text (e.g., .txt) or a formatted text file (e.g., .docx, .pdf, .html).
- Document Metadata: The presence of metadata specific to documents (e.g., title, author, creation date) can also indicate that the text is intended as a document.
- Purpose and Context: The text should serve a purpose or context typically associated with documents, such as conveying information, instructions, or narratives.
Example Scenarios
- Bitstream to Text: A binary sequence is interpreted using UTF-8 encoding. If the resulting characters are readable and meaningful (e.g., "Hello, World!"), the bitstream is recognized as text.
- Text to Document: If the text "Hello, World!" is placed within a .docx file with appropriate formatting and metadata (e.g., document title, author), it can be recognized as a document.
These conditions ensure that a bitstream is correctly interpreted as text and that the text is then appropriately recognized as a document.
