Inconsistency-Driven chemical graph construction in cheminfty

作者: Daniel Karzel , Koji Nakagawa , Akio Fujiyoshi , Masakazu Suzuki

DOI: 10.1007/978-3-642-36824-0_12

关键词:

摘要: This paper proposes a new method of chemical graph construction which is implemented in the structure recognition and correction system ChemInfty (www.inftyproject.org/en/ChemInfty/). The starts with recognizing graphical elements such as lines characters. In phase validity checked to detect inconsistencies. The an empty using only components. After solving cycle returns partially solved can be for inconsistencies again. results flexible, based inconsistency-driven construction. Furthermore introduces semi-automated allowing users interact graph-construction cycles.

参考文章(7)
Noureddin M. Sadawi, Alan P. Sexton, Volker Sorge, Chemical structure recognition: a rule-based approach Document Recognition and Retrieval XIX. ,vol. 8297, ,(2012) , 10.1117/12.912185
Aniko T. Valko, A. Peter Johnson, CLiDE Pro: the latest generation of CLiDE, a tool for optical chemical structure recognition. Journal of Chemical Information and Modeling. ,vol. 49, pp. 780- 787 ,(2009) , 10.1021/CI800449T
Maria-Elena Algorri, Marc Zimmermann, Martin Hofmann-Apitius, Modelling and querying sensor databases mexican international conference on computer science. pp. 138- 148 ,(2007) , 10.1109/ENC.2007.25
Hanan Samet, Automatic Recognition of Chemical Images mexican international conference on computer science. pp. 41- 46 ,(2007) , 10.1109/ENC.2007.9
J.M. Ogier, R. Mullot, J. Labiche, Y. Lecourtier, Semantic coherency: the basis of an image interpretation device-application to the cadastral map interpretation systems man and cybernetics. ,vol. 30, pp. 322- 338 ,(2000) , 10.1109/3477.836380
Jungkap Park, Gus R Rosania, Kerby A Shedden, Mandee Nguyen, Naesung Lyu, Kazuhiro Saitou, Automated extraction of chemical structure information from digital raster images Chemistry Central Journal. ,vol. 3, pp. 4- 4 ,(2009) , 10.1186/1752-153X-3-4
Igor V. Filippov, Marc C. Nicklaus, Optical Structure Recognition Software To Recover Chemical Information: OSRA — An Open Source Solution Journal of Chemical Information and Modeling. ,vol. 49, pp. 740- 743 ,(2009) , 10.1021/CI800067R