Research on Chinese restricted domain question answering system

The knowledge representing method, question semantic analysis and answer extraction algorithm are very important parts of QA (question answering system). This paper puts forward a framework which can well serve not only the simple question, but also the complex conditional question; can construct and apply ontology to drive Chinese restricted domain QA; and can conveniently extract answer by QSR (question semantic representation). Beside, the framework can automatically communicate with asker against askerpsilas fuzzy question. Firstly construct skillfully domain ontology; then analyze semantically askerpsilas question to get QSR; next automatically judge whether it is necessary to communicate with asker according to the ontology KB (knowledge base) and askerpsilas question; finally extract answer from domain ontology KB by OWLReasoner according to QSR. Through taking a consulting QA about computer maintenance as an example, we analyze its structure and implementation process, elaborate on construction of domain ontology, question semantic analysis and answer extraction algorithm. The experimental results are encouraging.