Yirsaw Ayalew, Gontlafetse Mosweunyane, Barbara Moeng
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FAQ retrieval system, Question answering system,HIV/AIDS ontology, Semantic similarity.
This paper presents a discussion of the implementation of
an ontology-based HIV/AIDS Frequently Asked Question (FAQ) retrieval system. The main purpose of the system is to provide an answer from an existing HIV/AIDS FAQ repository for any question on HIV/AIDS asked by any person. As the identification of the best possible answer requires the understanding of the semantics of both the question and the existing question-answer pairs in the FAQ, the use of ontology is very crucial. Ontologies have been widely used in natural language processing applications especially in Question Answering Systems. The ontology for the HIV/AIDS FAQ retrieval system has been built using Text2Onto tool which has been experimentally evaluated to be the most appropriate tool as reported in our earlier work.
Once the ontology is constructed, the next challenge
is to make sure that the use of the domain ontology
improves the performance of the FAQ retrieval System.
For this purpose, we explored a number of approaches for
computing semantic similarity between a user query and
the existing question-answer pairs in the FAQ. Semantic
similarity is computed based on inherent relationships
between concepts using ontologies. Specifically, we use
the semantic similarity metrics proposed by Thiagarajan
et al. based on spreading activation networks (set based
spreading). The results show an improvement in accuracy
compared to the traditional information retrieval based
question answering systems approaches.