Um sistema inteligente baseado em ontologia para apoio ao esclarecimento de dúvida

Abstract

When people want to learn a concept, the most common way is to use a search engine like: Google, Yahoo, Bing, among others. A natural language query is submitted to a search tool and which returns a lot of pages related to the concept studied. Usually the returned pages are listed and organized mainly based on the combination of keywords instead of using the interpretation and relevance of the terms found. The user must have read a lot of pages and selects the most appropriate to his needs. This kind of behavior takes time and focus on user-learner is dispersed to his goal. The use of intelligent systems that support the clarification of doubt has intent to solve this problem, presenting the most accurate answers to questions or sentences in natural language. Examples clarification of doubt systems are: question-answer system, help-desk intelligent among others. This work uses an architectural approach to a question answering system based on three steps: question analysis, selection and extraction of the answer and answer generation. One of the merits of this architecture is to use techniques that complement each other, such as ontologies, information retrieval techniques and a knowledge base written in AIML language to extract the answer quickly. The focus of this work is to answer questions WH-question (What, Who, When, Where, What, Who) of the English language.