Ontology Database

Ontology Database (ondb)

Typed knowledge graph: everything is an entity (id + type + properties) connected by directed relations (from → rel → to). All mutations append TSV lines — never overwrite. The TSV log IS the database.

TSV log format (the protocol)

add     <type>  <id>  <epoch_ms>  key1  val1  key2  val2       # create entity
set     <id>  <epoch_ms>  key  val                             # update property
rm      <id>  <epoch_ms>                                       # delete entity
link    <from>  <rel>  <to>  <epoch_ms>  [key1  val1 ...]     # create relation
unlink  <from>  <rel>  <to>  <epoch_ms>                        # remove relation
# tab-separated; escape: \t → tab, \n → newline, \\ → backslash
# properties are alternating key/val pairs (each is a separate tab field)

Any language reads this. AWK streams, Python dicts, SQLite materializes. Log is source of truth.

CLI usage

x ondb add --type Person --name Alice                            # auto UUID
x ondb add --type Task --name "Fix bug" --id t1 priority=high status=open
x ondb get --id t1 --json                                       # entity detail
x ondb set --id t1 status=done                                  # update prop
x ondb rm --id t1                                               # delete

x ondb link --from proj_001 --rel has_task --to t1              # create relation
x ondb link --from t1 --rel blocks --to t2                      # with link props: -- status=hard
x ondb linked --id proj_001 --rel has_task                      # outgoing relations
x ondb linked --id t1 --direction incoming                      # incoming (who links TO)
x ondb related --id proj_001 --rel has_task --json              # full entity on other side

x ondb ls --type Task                                           # list by type
x ondb query --type Task --where status=open --json             # filter by props

linked = relation metadata. related = full entity on the other side. Use --dir <path> / -d <path> for data directory (→ path/ondb.tsv).

Schema & validation

x ondb schema add "type:Task:required:title,status"
x ondb schema add "type:Task:enum:status:open,in_progress,done,blocked"
x ondb schema add "relation:blocks:from_types:Task"
x ondb schema add "relation:blocks:acyclic:1"
x ondb validate                          # checks required, enum, dangling refs, cardinality, cycles

Directives: type:Name:{required|forbidden|enum|datetime|ref}:..., relation:Rel:{from_types|to_types|cardinality|acyclic}:.... Validation is separate from write.

Architecture principles

• Log is source — TSV log is authoritative; SQLite is a materialized view
• Append-only — set, rm, unlink append lines; never modify existing lines
• Multiple instances — one ondb per sub-domain (default); merge only for cross-domain chains
• Type = Concept — same type name always means the same concept
• Validate on demand — no schema check at write; run validate after batch changes

Backends

Directory structure

<datadir>/ONDB.DESC.txt    # Required. Identifies ondb instance
<datadir>/ondb.tsv         # Append-only log
<datadir>/schema.tsv       # Optional. Constraints
<datadir>/ondb.db          # Optional. SQLite materialized view

For more information

• x ondb --help — CLI reference
• x ondb libpath {awk,py,js} — library paths for custom queries
• ondb SKILL.md — full docs (scenarios, integration, custom queries, SQLite WAL config)

Related

• yfm — yfm metadata: is the recommended ingest surface
• rule — schema validation rules live in rule framework