Automated Semantic Analysis of Schematic Data - Learning-based Techniques for Sc
This book describes techniques for automated semantic analysis of schematic content which are characterized by being populated from backend databases. The power of these techniques is demonstrated through applications developed for real-life problems that include audio-based assistive browsing for non-visual Web access, focused browsing on handhelds with semantic bookmarks, text data cleaning, and accurate identification of remote homologs of biological protein sequences.
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