CCC – Cost Calculation Chatbot

Award-winning university team project: a question-answering chatbot based on Knowledge Graphs, RDF/SPARQL, LangChain, and Qanary. Awarded the Best Semantic Web Poster Award 2026 at the Leipziger Semantic Web Tag.

Overview

CCC is relevant to my current AI direction because it connects question answering, semantic search, structured knowledge representation, and practical chatbot workflows.

Tech stack

Knowledge GraphsRDFSPARQLSemantic WebQuestion AnsweringLangChainQanaryChatbots

Award and relevance

  • •Best Semantic Web Poster Award 2026 at the Leipziger Semantic Web Tag.
  • •Combines structured knowledge representation with chatbot-based question answering.
  • •Demonstrates practical experience with Knowledge Graphs, RDF/SPARQL, LangChain, Qanary, and semantic AI workflows.

Project structure

  • •Knowledge graph as the structured source of domain knowledge.
  • •RDF/SPARQL used to represent and query structured relationships.
  • •LangChain and Qanary used for chatbot and question-answering workflow orchestration.