Abstract
It is difficult for software professionals to find all the architectural knowledge they need from architecture documentation, and this results in wasted time and mistakes in projects.
This is the case even when architecture documentation is indexed by an ontology and stored in a semantic wiki.
We present a prototype tool called AK-Finder which queries architectural knowledge stored in a semantic wiki as Linked Open Data using a SPARQL endpoint.
Our tool retrieves knowledge from the semantic wiki and answers questions for architectural review, design, and development activities.
The tool exemplifies how systems used in the software project lifecycle can integrate and improve access to architectural knowledge in a semantic wiki.
This is the case even when architecture documentation is indexed by an ontology and stored in a semantic wiki.
We present a prototype tool called AK-Finder which queries architectural knowledge stored in a semantic wiki as Linked Open Data using a SPARQL endpoint.
Our tool retrieves knowledge from the semantic wiki and answers questions for architectural review, design, and development activities.
The tool exemplifies how systems used in the software project lifecycle can integrate and improve access to architectural knowledge in a semantic wiki.
| Original language | English |
|---|---|
| Title of host publication | International Conference on Software Architecture (ICSA) |
| Publisher | IEEE |
| Number of pages | 4 |
| Publication status | Published - 6 Apr 2017 |
Keywords
- Ontology-based software architecture documentation
- Architectural knowledge retrieval
- Semantic wiki
- Ontology
- SPARQL
- Query
- Endpoint
- Linked Open Data