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Raster Maps Search Using Text Queries and Reasoning

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Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017 (CORES 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 578))

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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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References

  1. Batchelor, B.G.: Intelligent Image Processing in Prolog. Springer, London (1991)

    Book  MATH  Google Scholar 

  2. Cacko, A., Iwanowski, M.: Evaluating the mutual position of objects on the visual scene using morphological processing and reasoning. In: Choraś, R.S. (ed.) Image Processing & Communications Challenges 6. AISC, vol. 313, pp. 13–20. Springer, Cham (2015). doi:10.1007/978-3-319-10662-5_2

    Google Scholar 

  3. Cantrell, R., Krause, E., Scheutz, M., Zillich, M., Potapova, E., et al.: Incremental referent grounding with NLP-biased visual search. In: Proceedings of AAAI 2012 Workshop on Grounding Language for Physical Systems (2012)

    Google Scholar 

  4. Gal, A., Lapalme, G., Saint-Dizier, P., Somers, H.: Prolog for Natural Language Processing. Wiley, Chichester (1991)

    Google Scholar 

  5. Hollink, L., Schreiber, G., Wielemaker, J., Wielinga, B., et al.: Semantic annotation of image collections. In: Knowledge Capture, vol. 2 (2003)

    Google Scholar 

  6. Merialdo, B.: Tagging English text with a probabilistic model. Comput. Linguist. 20(2), 155–171 (1994)

    Google Scholar 

  7. Schreiber, A.T., Dubbeldam, B., Wielemaker, J., Wielinga, B.: Ontology-based photo annotation. IEEE Intell. Syst. 16(3), 66–74 (2001)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Institute of Control and Industrial Electronics, Warsaw University of Technology, ul. Koszykowa 75, 00-662, Warszawa, Poland

    Arkadiusz Cacko & Marcin Iwanowski

Authors
  1. Arkadiusz Cacko
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  2. Marcin Iwanowski
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Corresponding author

Correspondence to Arkadiusz Cacko .

Editor information

Editors and Affiliations

  1. Department of Systems and Computer Networks, Wrocław University of Technology, Wrocław, Poland

    Marek Kurzynski

  2. Department of Systems and Computer Networks, Wrocław University of Technology, Wroclaw, Poland

    Michal Wozniak

  3. Department of Systems and Computer Networks, Wrocław University of Technology , Wroclaw, Poland

    Robert Burduk

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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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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59161-2

  • Online ISBN: 978-3-319-59162-9

  • eBook Packages: EngineeringEngineering (R0)

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