SINAI at NTCIR-9 GeoTime: a filtering and reranking approach based solely on geographical entities

Geographic Information Retrieval (GIR) is an active and growing research area that focuses on the retrieval of textual documents according to a geographical criteria of relevance. In recent years, the IR research community has paid particular attention in IR systems that take into account temporal constraints. Temporal Information Retrieval (TIR) is a recent field which addresses the combination of usual IR techniques with new ones for addressing temporal dimension of relevance. The NTCIR-GeoTime task was created to evaluate IR systems that combine geographical and temporal constraints. In this work, we propose a filtering and reranking function for these type of systems based on the retrieval status value calculated by the IR engine and the geographical similarity between the document and the query. Due to we have only considered the geographical criteria, the obtained results show that the proposed function does not improve the baseline experiment applying solely an IR approach. Therefore, it is necessary to improve the proposed reranking function taking into account the temporal entities found in the document collection and topics.