Terms Variable
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
Terms Variable has 9 facts recorded in Dontopedia across 4 references, with 2 live disagreements.
Mostly:rdf:type(2), contains(2), initialization(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (3)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
containsContains(1)
- Test Section
ex:test-section
hasAttributeHas Attribute(1)
- Query Rewriting System Class
ex:query-rewriting-system-class
iteratesOverIterates Over(1)
- Term Iteration
ex:term-iteration
Other facts (9)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | List | [1] |
| Rdf:type | Code Variable | [4] |
| Contains | Running | [3] |
| Contains | Jumped | [3] |
| Initialization | query.split() | [1] |
| Serves As | Test Input | [2] |
| Incomplete | Truncated List | [3] |
| Assigned Value | Array of Three Strings | [4] |
| Element Type | string | [4] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
References (4)
ctx:claims/beam/5073baed-86e0-4b06-95ea-9d273b147327- full textbeam-chunktext/plain1 KB
doc:beam/5073baed-86e0-4b06-95ea-9d273b147327Show excerpt
2. **Synonym Lookup Module**: - Isolated module for synonym lookup. - Thread-safe and scalable design. - Caching layer for frequently accessed synonyms. 3. **Query Rewriting Module**: - Handles the actual query rewriting logic…
ctx:claims/beam/5911aad5-31b8-481d-9758-9632ba044f91- full textbeam-chunktext/plain1 KB
doc:beam/5911aad5-31b8-481d-9758-9632ba044f91Show excerpt
2. **Download WordNet**: Download the WordNet data using NLTK. ```python import nltk nltk.download('wordnet') ``` 3. **Expand Synonyms Using WordNet**: ```python from nltk.corpus import wordnet as wn def expand_synony…
ctx:claims/beam/869acbd5-0cda-40b0-94b3-06d5699021f2- full textbeam-chunktext/plain1 KB
doc:beam/869acbd5-0cda-40b0-94b3-06d5699021f2Show excerpt
elif term.endswith("ed"): return [term[:-2] + "ing"] # WordNet approach synonyms = set() for syn in wn.synsets(term): for lemma in syn.lemmas(): synonyms.add(lemma.name()) # NLP appr…
ctx:claims/beam/a296a949-2c13-4366-96e2-0759ac1499ba- full textbeam-chunktext/plain995 B
doc:beam/a296a949-2c13-4366-96e2-0759ac1499baShow excerpt
return closest_synonyms # Test the synonym expansion terms = ["happy", "sad", "angry"] for term in terms: synonyms = get_synonyms(term) print(f"Synonyms for '{term}': {synonyms}") ``` ### Summary 1. **Setup Environment**: Ens…
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