An information retrieval application using ontologies

searching for information in long videos can be a time-consuming experience. in this paper, we describe onair, an ontology-aided information retrieval system applied to retrieve clips from video collections. we used a video collection compiled from interviews with ana teixeira, a brazilian artist. the interviews were made by paula p. braga, the domain expert. the interview is developed in the domain of contemporary art and the system uses a domain ontology to expand the queries with related terms. we tested the system with a battery of queries, and we veri.ed that the ontology contributes to the e.ciency improvement in terms of the relevance of retrieved documents. we designed the system to work in a domain-independent way, allowing us to move to other domains by just changing the underlying ontologies and video collections.