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| Ç¥ÁØÁ¾·ù | Á¤º¸Åë½Å´ÜüǥÁØ(TTAS) | ||||||||||||||||
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| Ç¥ÁعøÈ£ | TTAE.OT-10.0473 | ±¸ Ç¥ÁعøÈ£ | |||||||||||||||
| Á¦°³Á¤ÀÏ | 2025-12-05 | ÃÑ ÆäÀÌÁö | 70 | ||||||||||||||
| ÇÑ±Û Ç¥Áظí | RDF µ¥ÀÌÅͼ Á¤±ÔÈ | ||||||||||||||||
| ¿µ¹® Ç¥Áظí | RDF Dataset Canonicalization | ||||||||||||||||
| ÇÑ±Û ³»¿ë¿ä¾à | ÀÌ Ç¥ÁØÀº RDF 1.1 Dataset ±¸Á¶¸¦ ±â¹ÝÀ¸·Î, N-Quads Çü½ÄÀÇ RDF Ç¥Çö¿¡ ´ëÇØ Á¤±ÔÈ ¾Ë°í¸®ÁòÀ» Àû¿ëÇÏ´Â ¹æ¹ýÀ» ´Ù·é´Ù. ÇÙ½ÉÀº RDF µ¥ÀÌÅͼ ³» ºí·©Å© ³ëµå ½Äº°ÀÚ¸¦ À籸¼ºÇÏ¿©, ¾î¶² ½Ã½ºÅÛ¿¡¼µç µ¿ÀÏÇÑ Á¤±ÔÈ Ãâ·ÂÀ» »ý¼ºÇÒ ¼ö ÀÖµµ·Ï ÇÏ´Â °ÍÀÌ´Ù. À̸¦ À§ÇØ "Ä«½´¾Ë(Canonical)" ¸í¸í ¾Ë°í¸®Áò°ú ºí·©Å© ³ëµå ÇØ½Ã ±â¹Ý ºÐÇØ ¹æ½ÄÀÌ Á¤ÀǵȴÙ. ¶ÇÇÑ, ÀÌ Ç¥ÁØÀº RDF Dataset Á¤±ÔÈ °á°ú¸¦ µðÁöÅÐ ¼¸í, ¿µÁö½Ä Áõ¸í, ÀÎÁõ ¸ÞŸµ¥ÀÌÅÍ Ã³¸® µî¿¡ Ȱ¿ëÇÒ ¼ö ÀÖµµ·Ï °í·ÁÇϸç, JSON-LD¿Í ¿¬°èÇÑ È°¿ëµµ °¡´ÉÇϵµ·Ï È®À强À» º¸ÀåÇÑ´Ù. ÀÌ·Î½á º» Ç¥ÁØÀº ½Å·Ú¼º ÀÖ´Â RDF µ¥ÀÌÅÍ ±³È¯, ºí·ÏüÀÎ ±â¹Ý ÀÎÁõ, ¿ÂÅç·ÎÁö ±â¹Ý µ¥ÀÌÅÍ Ã³¸® µî ´Ù¾çÇÑ ºÐ¾ß¿¡ Àû¿ëµÉ ¼ö ÀÖ´Ù. | ||||||||||||||||
| ¿µ¹® ³»¿ë¿ä¾à |
This standard is based on the RDF 1.1 Dataset model and applies canonicalization to RDF data expressed in N-Quads format. The key focus is on transforming blank node identifiers in such a way that the output is consistent across different systems and implementations. It defines a canonical naming algorithm and a hash-based approach to structurally distinguish and reorder blank nodes deterministically.
In addition, the standard supports the use of canonicalized RDF datasets in digital signature schemes, zero-knowledge proofs, verifiable credentials, and metadata validation. It also ensures compatibility with JSON-LD and other RDF serialization formats, supporting broad interoperability across linked data and semantic web applications. Through this, the standard enables secure, verifiable, and consistent handling of RDF data in a wide range of use cases, including trust frameworks, blockchain-based systems, and knowledge-based services. |
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