A Natural Language Interface for Information Retrieval on Semantic Web Documents
We present a dialogue system that enables the access in natural language to a web information retrieval system. We use a Web Semantic Language to model the knowledge conveyed by the texts. In this way we are able to obtain the associated knowledge necessary to perform the different analysis stages of natural language sentences.
In the context of information retrieval, we aim to develop a system that, by increasing the interaction management capabilities, is able to achieve a better degree of cooperativeness and to reduce the average number of interactions needed to retrieve the intended set of documents.
The documents in the IR system considered here are composed by the set of documents produced by the Portuguese Attorney General since 1940. These documents were analyzed and an ontology describing their structure and content was defined. Then, they were automatically parsed and a (partial) semantic structure was created. The ontology and the semantic content was represented in the OWL language.
An example of a user interaction session is presented and explained in detail.
Keywordsagents knowledge based systems web semantics information retrieval natural language dialogues
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