This repository contains the code created in the master thesis "An Efficient Semantic Search Engine for Research Data in an RDF-based Knowledge Graph" to implement a search engine for RDF-based metadata graphs based on Virtuoso, Elasticsearch and the developed mapping of the data.

Code documentation:

The code documentation can be found under ./docs/index.html.

Setup/Prerequisites:

• Virtuoso
  • Virtuoso.ini file
    • NumberOfBuffers >= 660000
    • MaxDirtyBuffers >= 495000
  • Define the following graphs as rulesets named "ruleset" for inference rules with rdfs_rule_set ('<rulesetname>', '<graphname>') ;
    • http://www.dfg.de/dfg_profil/gremien/fachkollegien/faecher/
    • http://www.w3.org/ns/org#
    • http://xmlns.com/foaf/0.1/
• Data mentioned in "Sample Dataset for Search Engine Evaluation for Research Data in an RDF-based Knowledge Graph"
  • All named_graphs, use virtuoso.db/graphs.db
• Elasticsearch
• Specified packages

How to use:

1. (Re-)Build solution (Install/restore necessary packages)
2. Start Virtuoso
3. Start Elasticsearch
4. Run Coscine.SemanticSearch.Cmd.exe with the necessary arguments
5. Find your index name under http://localhost:9200/_cat/indices/
6. Preview your index at http://localhost:9200/<INDEXNAME>/
7. Preview data for index at http://localhost:9200/<INDEXNAME>/_search

Commandline arguments