Irene Pimenta Rodrigues

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We propose a framework for a collaborative legal information retrieval system based on dynamic logic programming. In order to be collaborative our system keeps the context of the interaction and tries to infer the user intentions. Each event is represented by logic programming facts which are used to dynamically update the previous user model. User(More)
The approach followed by the University of Évora team in order to build a system able to participate in the QA-CLEF task is described. The system is based in two steps: for each question, a first information retrieval task selects a set of potentially relevant documents; then, each of these documents is analysed trying to obtain their semantic(More)
In this paper we present a multi-agent approach to question answering for the Portuguese language. Our proposal is composed by three modules: (1) document and query processing; (2) ontology construction; and (3) answer generation. Each module is composed by multiple cooperative agents which adopt distinct strategies to generate its outputs and cooperate to(More)
We describe a proposal of the steps needed to automatically extract the information about healthcare providing activities from an actual EHR at use in a Portuguese Region (Portalegre) to populate an Ontology. We present the steps to manually and further automatically populate using a suggested Software Architecture and the appropriate Natural Language(More)
A logic programming framework for the definition of cooperative multi-agent legal web information retrieval systems is proposed. Cooperation is achieved through the use of dialogue processing techniques, namely, the inference of the user intentions and the existence of a pro-active system behaviour, which tries to help users in their searches. The proposed(More)