In this paper, we will propose TeLQAS, which is an ontology-based natural language question/answering system for the domain of Telecommunication Technologies. In an online process, the system accepts the users' questions in English, and after retrieving the related text documents from either its local database or web; it summarizes the retrieved text documents with the highest relevance. The privilege of the system is that it is capable of extracting the related text documents automatically from the collections on the web in an offline process using a beneficial text categorization mechanism based on the concepts in the system ontology. It will then store them in its local database. We have developed a prototype for the proposed system in the domain of Optical Telecommunication. The experimental results of the prototype for a collection of 100 different questions in the optical telecommunication domain, shows that TeLQAS has a good accuracy in comparison with other similar question/answering systems.
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