MAPS Manuscript map Annotation and Presentation System.Linking formal ontologies with social tagging to (re-)construct relationships between manuscript maps and contextual Documents.

Abstract

Page 138 cies of character n-grams within the corpus. A character n-gram is any subsequence of n well deined characters. Initial benchmarks on a stand-alone server allowed us to conclude that, assuming the test set was representative, a complete set of comparisons for the corpus would take more than 1,000 years. Consequently, we ran a sequence of systematic experiments, carrying out different text analysis of the selected corpus, to provide benchmarks for the throughput improvements provided by the grid environment. The detailed results will be presented in the presentation. In the experiments, we have set up an institutional Cam-pusGrid using Condor at King's College London on spare servers and desktops (in use during the day) within 2 departments. No new hardware had to be bought. We than ran several text mining algorithms on a subset of the data (the "English Women's Journal"-which has the highest OCR quality) which have been adapted locally so that parts of the code can be run in parallel. This has reduced the processing time from a few days to a few hours. To conclude: One driver of the project is the NCSE corpus , for which the project addresses a genuine research need to be able to create new semantic views on textual resources automatically. But, more widely than this, we see the project as an opportunity to start building the e-infrastructure required to support humanities research that has complex (or simply large) computational requirements .