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日本データベース学会 | DBSJ — 13 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Databases →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
fksm.co ↗	71 match 1 shared topics	福島県市町村データベース	Colombia ja	databases WordPress	robotsllmsaihumans	emailphone	none
moose-calling.com ↗	66 match 1 shared topics	データサイエンス日記 - データサイエンスにトライしていく記録	ja	databases WordPress	robotsllmsaihumans	emailphone	none
ladygirldognames.com ↗	65 match 1 shared topics	初心者でもわかる！データ分類とは一体何かと具体的な方法と重要性について｜押さえておきたいデータ分類の重要性	ja	databases	robotsllmsaihumans	emailphone	none
shtockdata.com ↗	63 match 1 shared topics	市場シェアNo.1 WebスクレイピングサービスならShtockData	ja	databases	robotsllmsaihumans	emailphone	none
dig-the-company.com ↗	62 match 1 shared topics	Dig the company Home	ja	databases	robotsllmsaihumans	emailphone	none
digita-l-ocal.tech ↗	62 match 1 shared topics	【試行錯誤中】いろいろとやってみる \| これまでやってきたシステム関連のことと、石川県のローカルな話	ja	databases WordPress	robotsllmsaihumans	emailphone	none
poppoco-works.com ↗	62 match 1 shared topics	ぽっぽこワークス	ja	databases	robotsllmsaihumans	emailphone	none
7sark.com ↗	62 match 1 shared topics	お知らせ - セブンズアーク	ja	databases Jimdo	robotsllmsaihumans	emailphone	none
kotsumilog.com ↗	60 match 1 shared topics	kotsumilog（コツミログ） \|	ja	databases WordPress	robotsllmsaihumans	emailphone	none
hibiki-k.com ↗	34 match 1 shared topics	データ処理代行（入力・管理）の株式会社ジェイシーシー	ja	databases	robotsllmsaihumans	emailphone	none
milkyfieldcompany.com ↗	32 match 1 shared topics	webサービスの開発と提供をしています - milky field	ja	databases WordPress	robotsllmsaihumans	emailphone	none
padoc.info ↗	30 match 1 shared topics	PADOC	ja	software-and-applications	robotsllmsaihumans	emailphone	none
kozirefer.com ↗	30 match 1 shared topics	こじりふぁ	ja	databases WordPress	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.