Insurance ontologies are useful for building a semantic decision tree in various context of policy, claim, as well as providing the right insurance for a potential member. They also build formalisms towards a knowledge representation on basis of which decisions can be made towards policy and claim decisions. There are an ever growing types of insurances and even further in the different types of providers with their individual policy features. Semantic discovery of the right insurance product with the right policy features for a policy holder is also important towards a full alignment of coverage and the right balance of risk premium. Another place where such ontologies can apply is as a thesaurus service of terms for semantic extraction and understanding of an insurance document often in form of a SKOS schema.
Example List of Some Attributes for Insurance:
- Insurable Object Id
- Insurable Object Type
- Insurable Object Name
- Insurable Object Detail
- Insurer Id
- Insurer Name
- Insurer Product Id
- Insurer Product Name
- Insurer Product Type
- Insurer Product Detail
- Member Id
- Member Name
- Member Type
- Member Detail
- Organization Id
- Organization Name
- Organization Type
- Organization Detail
- Agreement Id
- Agreement Name
- Agreement Type
- Agreement Detail
- Claim Type
- Claim Id
- Claim Amount
- Claim Folder
- Claim Document
- Claim Offer
- Claim History
- Claim Status
- Claim Link
- Claim Decision
- Party Role
- Assessment Id
- Assessment Result
- Assessment Score
- Fraud Assessment
- Policy Type
- Policy Id
- Policy Name
- Policy Coverage Detail
- Policy Premium
- Policy Condition
- Policy Term
- Policy Member
- Policy Duration
- Policy Pre-exist Condition
- Policy Sub-Members
- Policy Risk Score
