Abstract
Search engines have become one of indispensable elements of modern information processing systems. One of challenges to face in this area is to build an interface between pictorial and text data, that would allow for image search using text queries. In the paper, a concept is proposed, that combines inference, ontology and natural language processing to formulate queries to the pictorial data of raster map images. The proposed system analyses a user’s query formulated in the natural language and finds place on map which meet this criteria. The proposed approach improves remarkably the easy of access to the raster map content.
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Cacko, A., Iwanowski, M. (2018). Raster Maps Search Using Text Queries and Reasoning. In: Kurzynski, M., Wozniak, M., Burduk, R. (eds) Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017. CORES 2017. Advances in Intelligent Systems and Computing, vol 578. Springer, Cham. https://doi.org/10.1007/978-3-319-59162-9_33
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DOI: https://doi.org/10.1007/978-3-319-59162-9_33
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