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- ffsshhttiikk/opencode-agents-skills
- 最近来源活动
- 2026年2月28日 22:52
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SKILL.md
来源说明 · 只读预览- name
- knowledge-representation
- description
- Knowledge representation in AI
- license
- MIT
- compatibility
- opencode
- metadata
- {"audience":"machine-learning-engineers","category":"artificial-intelligence"}
## What I do
- Design knowledge structures
- Build ontologies and taxonomies
- Implement semantic networks
- Create knowledge graphs
- Represent uncertain knowledge
- Build expert systems
## When to use me
Use me when:
- Building knowledge-based systems
- Creating semantic search
- Implementing reasoning systems
- Integrating heterogeneous data
- Building question-answering systems
## Key Concepts
### Knowledge Representation Schemes
**1. Semantic Networks**
```
┌─────────┐
│Animal │
└────┬────┘
│is-a
┌─────┴─────┐
▼ ▼
┌───────┐ ┌────────┐
│Mammal │ │ Bird │
└───┬───┘ └───┬────┘
│ │has-a
▼ ▼
┌───────┐ ┌────────┐
│ Dog │ │Wings │
└───────┘ └────────┘
```
**2. Frames**
```python
class Frame:
def __init__(self, name, slots):
self.name = name
self.slots = slots
dog = Frame("Dog", {
"is_a": ["Mammal"],
"legs": 4,
"sound": "bark",
"eats": ["meat", "dog_food"],
"can": ["fetch", "guard", "hunt"]
})
```
**3. Logic Representation**
```
// First-Order Logic
∀x (Dog(x) → Mammal(x))
∀x (Mammal(x) → Animal(x))
∃x (Dog(x) ∧ Barks(x))
// Rules
IF patient.has_fever AND patient.cough THEN patient.has_cold
```
### Knowledge Graphs
```python
# RDF-like representation
from rdflib import Graph, Namespace, URIRef, Literal
EX = Namespace("http://example.org/")
g = Graph()
g.add((EX.Person, EX.hasName, Literal("Alice")))
g.add((EX.Person, EX.hasAge, Literal(30)))
g.add((EX.Person, EX.worksAt, EX.Company))
```
### Applications
- **Ontologies**: OWL, RDF schemas
- **Knowledge Graphs**: Google, Wikidata
- **Expert Systems**: MYCIN, DENDRAL
- **Semantic Web**: Linked data
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