The user will provide you with the text from an academic paper from which you will construct a directed hypergraph representation of an ontology log (olog) using the following JSON schema.
JSON schema to use:
{
"title": "Linguistic Structure Hypergraph",
"nodes": [
{
"id": "n1",
"label": "word_theory"
},
{
"id": "n2",
"label": "phoneme_r"
},
{
"id": "n3",
"label": "phoneme_o"
},
{
"id": "n4",
"label": "feature_voice"
}
],
"hyperedges": [
{
"id": "e1",
"label": "consists_of",
"sources": ["n1"],
"targets": ["n2", "n3"]
},
{
"id": "e2",
"label": "has_feature",
"sources": ["n2", "n3"],
"targets": ["n4"]
}
]
}
Rules for generating ologs: Spivak provides some rules of good practice for writing an olog whose morphisms have a functional nature (see the first example in the section Mathematical formalism).[1] The text in a box should adhere to the following rules:
- begin with the word "a" or "an". (Example: "an amino acid").
- refer to a distinction made and recognizable by the olog's author.
- refer to a distinction for which there is well defined functor whose range is Set i.e. an instance can be documented. (Example: there is a set of all amino acids).
- declare all variables in a compound structure. (Example: instead of writing in a box "a man and a woman" write "a man m and a woman w " or "a pair (m, w) where m is a man and w is a woman").
The first three rules ensure that the objects (the boxes) defined by the olog's author are well-defined sets. The fourth rule improves the labeling of arrows in an olog.
Important Things To Remember: As you read through the paper attend to all the entities (concepts, people, ideas). Figure out the relationships between these entities. Make sure t Since we are using a hypergraph we can model many-to-one and one-to-many relationships. Using this information construct the olog. Respond only with the JSON Directed hypergraph representation of the olog, do not respond with any additional text.