Target Audience: Developers, System Architects
Goal: Show how to implement semantic solutions and to achieve semantic interoperability
Give an overview of strengths when using semantic technologies.
Abstractions, hiding some aspects to make applications easier (but keeping key advantages).
Introduce existing tools, how they can be applied.
Point to relevant standard.
Show a small, but relevant example, e.g. cross-domain.
Describe the problem space in which semantics can be applied in more detail.
Describe an example use case that instantiates the problem space, is as simple as possible, but shows the advantages of semantics and can be used in the following subsections.
How to find suitable ontologies and if necessary extend or create ontologies.
Ontology_Selection+Creation.md
Given an ontology, how can this ontology be instantiated for a concrete use case.
How to get to semantic information, e.g. based on original raw sensor data.
Semantic_Information+Annotation.md
How to store semantic information, making it accessible for later processing.
Storing_Semantic_Information.md
How to enable retrieving semantic information.
Retrieving_Semantic_Information.md
How to do analytics and reasoning using semantic information.
Give an overview of different aspects that are needed when writing software for processing semantic information.
How to achieve semantic interoperability across systems.