In chemical literature much information is given in the form of diagrams depicting molecules. In order to access this information diagrams have to be recognised and translated into a processable format. We present an approach that models the principal recognition steps for molecule diagrams in a strictly rule based system, providing rules to identify the main components -atoms and bonds -as well as to resolve possible ambiguities. The result of the process is a translation into a graph representation that can be used for further processing. We show the effectiveness of our approach by describing its embedding into a full recognition system and present an experimental evaluation that demonstrates how our current implementation outperforms the leading open source system currently available.
We introduce a new data type of abstract matrices that allows the description of underspecified matrices containing ellipses and their use as templates for classes of concrete matrices. We present a series of algorithms that fully analyses the structure of abstract matrices and their representation and supports subsequent instantiation to concrete matrices.
Abstract. mega is a mixed-initiative system with the ultimate purpose of supporting theorem proving in main-stream mathematics and mathematics education. The current system consists of a proof planner and an integrated collection of tools for formulating problems, proving subproblems, and proof presentation.
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