Abstract Effective geographical query formulation is one of the key difficulties for users in search engines. Our main motivation in this paper is to identify an opportunity for improving geographical search and related technologies. Thus, this work introduces, an approach for geographical query reformulation (GQR), which combines a method of queries’ components separation that uses GeoNames, and a technique for reformulating these components using WordNet and a geographic taxonomy constructed using the Latent Semantic Analysis (LSA) method. In our experiments, we varied the taxonomies construction parameters, like the number of used documents, then we compare the values that are returned in every case. Furthermore, we compared the results of our approach to two methods from the literature, using the Mean Average Precision (MAP) and the precision at 10 documents (P@10). According to our results, reformulating geographical queries using the new proposed approach improves considerably the precision of queries and retrieves relevant documents that were not retrieved using the original queries.
[1]
Khaled Mellouli,et al.
Une extension de mesure de similarité entre les concepts d'une ontologie
,
2007
.
[2]
Driss Aboutajdine,et al.
A new approach to build a geographical taxonomy of adjacency automatically using the latent semantic indexing method
,
2015,
2015 Intelligent Systems and Computer Vision (ISCV).
[3]
Fei Wang,et al.
A two-stage feature selection method for text categorization by using category correlation degree and latent semantic indexing
,
2015
.
[4]
Julien Lesbegueries,et al.
Une approche d'extraction et de recherche d'information spatiale dans les documents textuels - évaluation
,
2007,
CORIA.
[5]
Wei-Ying Ma,et al.
Recommending friends and locations based on individual location history
,
2011,
ACM Trans. Web.
[6]
Haixun Wang,et al.
Automatic Taxonomy Construction from Keywords via Scalable Bayesian Rose Trees
,
2015,
IEEE Transactions on Knowledge and Data Engineering.