Querying Software Architecture Knowledge as Linked Open Data

K.A. de Graaf, Anthony Tang, Peng Liang, Ali Khalili

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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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.
Original languageEnglish
Title of host publicationInternational Conference on Software Architecture (ICSA)
PublisherIEEE
Number of pages4
Publication statusPublished - 6 Apr 2017

Keywords

  • Ontology-based software architecture documentation
  • Architectural knowledge retrieval
  • Semantic wiki
  • Ontology
  • SPARQL
  • Query
  • Endpoint
  • Linked Open Data

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