Browsing by Author "Franco, Wellington"
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- MediBot: An Ontology-Based Chatbot to Retrieve Drug Information and Compare its PricesPublication . Avila, Caio Viktor S.; Franco, Wellington; Venceslau, A. D. P.; Rolim, Tulio Vidal; Vidal, Vania M. P.; Pequeno, Valéria M.In this article, we present the MediBot. MediBot is a chatbot for querying drugs information. The presented system acted as a single access point for natural and simplified information retrieval of drugs, prices, and its risks. The chatbot has two modes of operation: Quick Response and Interactive modes. The first answers questions asked in natural language, while the second has three interactive tasks, namely Browser, Query, and Price Comparison. We present here the system architecture, the Linked Data Mashup’s construction process, and Chatbot MediBot’s activities modes, focusing on the new Price Comparison’s task. This task presents the best prices for medicines and their best potential substitutes extracted in real-time from the Web with the help of the information obtained from a linked data mashup.
- Ontologybased Question Answering Systems over Knowledge Bases: A Survey.Publication . Franco, Wellington; Avila, Caio Viktor Artur Oliveira S.; Maia, Gilvan; Brayner, Ângelo; Vidal, Vânia Maria P.; Carvalho, Fernando; Pequeno, Valéria M.Searching relevant, specific information in big data volumes is quite a challenging task. Despite the numerous strategies in the literature to tackle this problem, this task is usually carried out by resorting to a Question Answering (QA) systems. There are many ways to build a QA system, such as heuristic approaches, machine learning, and ontologies. Recent research focused their efforts on ontology-based methods since the resulting QA systems can benefit from knowledge modeling. In this paper, we present a systematic literature survey on ontology-based QA systems regarding any questions. We also detail the evaluation process carried out in these systems and discuss how each approach differs from the others in terms of the challenges faced and strategies employed. Finally, we present the most prominent research issues still open in the field.