Semantic Question Answering System Using Dbpedia

Due to the rapid increase of data generated on the web, there is a need for efficient techniques to access required data. Question Answering (QA) is a multi-disciplinary field of information retrieval and natural language processing, which aims at answering users’ query written closer to human language. Users can thus submit their requests as they think it and conceptually closer to their intended outcomes. The upcoming trend in query languages, and programing languages in general, towards more human-like language for increased user-friendliness subject to enhanced efficiency with usage of English-like words. In this paper, an architecture of factoid question answering system is presented using Dbpedia ontology. The discussed architecture is tested and results are compared to those of other systems.