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Japanese renders four more vendor-named "semantic X" terms as 意味-prefixed calques — the same question #159 settled for one of them #198

Description

@hotlong

Surfaced by the #159 sweep. #159 ruled on exactly one term (semantic layer → セマンティックレイヤー); these are different terms with potentially different answers, so they are recorded rather than folded into that card.

content/blog/enterprise-ontology-race-open-vs-closed/index.ja.mdx renders several other semantic X phrases with the same 意味-prefix construction:

ja English source note
意味ビュー Snowflake Semantic View Autopilot a product feature name — Snowflake's own Japanese material calls it セマンティックビュー
意味モデル / 意味モデリング semantic model / semantic modeling セマンティックモデル is the usual rendering, and is Microsoft's own term for the Fabric/Power BI artifact
意味グラフ semantic graph (Dataplex → Knowledge Catalog)
意味整合 semantic alignment descriptive prose, most likely fine as-is

意味論 (semantics) also appears and is correct — that is the standard Japanese word and is not in question.

Why this is worth a decision rather than a blanket sweep

The #159 ruling turned on a specific piece of evidence: the category is named セマンティックレイヤー in the field, and 意味層 shows up in the same writing only as a gloss. That evidence does not transfer automatically. Two of the four above are different in kind:

  • 意味ビュー is a proper noun. Semantic View is Snowflake's feature name. Translating a product's feature name at all is a different call from translating a category, and the same table already keeps Fabric IQ, Unity Catalog and Business Semantics in English.
  • 意味モデル is a category term but also Microsoft's product-facing term, which pushes toward セマンティックモデル.

意味グラフ and 意味整合 are ordinary descriptive prose and may well be fine.

So this needs the same treatment #159 got — check observable Japanese usage per term, then rule — not a find-and-replace.

Retrieval angle

Same argument as #159: a Japanese reader searching Snowflake's feature types セマンティックビュー. This post is the site's main comparison of the five platforms, so it is the page most likely to be the retrieval target for those vendor terms.

Scope

Body prose in content/blog/enterprise-ontology-race-open-vs-closed/index.ja.mdx (8 occurrences). Worth widening the sweep to the other index.ja.mdx files, which this pass did not check for these four terms — it only counted 意味層.

Not queued — recorded for triage.


Generated by Claude Code

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